A system for enhancing image quality of an internal body part

Abstract

The present invention relates to a system (500) for the enhancing image quality more specifically, to a system (500) and method (400) for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping.

Description

[0001] A SYSTEM FOR ENHANCING IMAGE QUALITY OF AN INTERNAL BODY PART

[0002] FIELD OF INVENTION

[0003]

[0001] The present invention relates to a system for the enhancing image quality more specifically, to a system and method for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping.

[0004] BACKGROUND OF THE INVENTION

[0005]

[0002] The background description includes basic of the field of invention including a study of recent technologies along with a few patent literatures that may be useful in understanding the present invention. The following prior art is being reported:

[0006]

[0003] The first Chinese patent application CN115908330A with title “DSA image-based coronary artery automatic frame selection classification recommendation method and device” discloses a DSA image-based coronary artery automatic frame selection classification recommendation method and device. The disclosure mentions about DSA image-based coronary artery automatic frame selection classification but not specific to road mapping. Creating a summarized image is interpreted as forming an image pair. Identified DICOM image in the DSA image group Sequencing according to the reconstruction quality of the image pair. The image pairs with the highest scores are recommended but not mentioned as use as a base image. The keyframe image is a relatively high-quality image with the contrast agent fully filled, the contrast agent clearly visible, and in end-diastole. Image blending is formation of image pair. However the invention does not explain the Initialization of Variables to control the transparency and blending of images during the superposition loop and base image selection interpreted as selection of image pairs but not specific to selection based on pixel density as explained in the present invention.

[0007]

[0004] The second patent literature with application no GB2352950 has the title of the invention “Image superposition including transparency and translucency parameters” discloses an image processing method and apparatus in which blend processing, transparent processing and translucent processing can be performed with a small amount of input data, and transmittance control of respective parameters of each pixel can be performed independently. The data for each pixel of the higher priority image and each pixel of the lower priority image is provided in sequence. Overlayed or superposed the higher priority image and the lower priority image according to blend rate. Transparent processing and translucent processing performed in addition to normal blend processing image data. However this does not explain about selection of high priority image and initialization of variables. Also the invention is not specific to Arterial roadmapping, Digital subtraction angiography loop, Extraction from DICOM Loop File, Contrast adjustment process, Improve the visual quality and diagnostic value of DS A images.

[0008]

[0005] The third patent literature with application no US9117134B1 has the title of the invention “Image merging with blending” mentions about blend map upon merging the image, image sequence is interpreted as aligning, by a computing device, X (base image) and Y (alternate image) with one another. The pixel values of X and Y may be merged to form an mxn tile Z.Anmxn blend map, B, for X and Y may also be obtained. B(i,j) may take on a first value to refer to X(i,j)of a base image of a scene, or a second value to refer to Y(i,j)altemate image of the scene, where i, j represent pixel values. Summarized image is interpreted as image merging. However, the reference is not specific to arterial and does not explains about the following: Digital subtraction angiography loop, image with the maximum number of dark pixels, Variables initialized to control the transparency, Contrast adjustment process to improve the visual quality and diagnostic value of DSA images.

[0009]

[0006] The other patent literature with application no US8509384B2 with the title Method for enhanced visualization of objects in interventional angiographic examinations mentions about enhanced visualization of objects in angiographic extractions (DSA). DSA sequence used for processing. Vessel image and object image are merged to obtain the optimal road map. DSA image or native image blended. Acquiring an empty image with pure anatomy and filling image with vascular tree filled with a contrast agent. The invention does not explain about the following: Image extraction from DICOM file, selection of base image based on higher pixel density, Variables initialized to control transparency, and contrast adjustment process.

[0010]

[0007] Digital Subtraction Angiography (DSA) is a vital medical imaging technique used for visualizing blood vessels in high contrast. It is primarily employed for diagnostic purposes, allowing medical professionals to obtain detailed and real-time images of blood vessels, particularly arteries, and veins. Here’s a more in-depth explanation of DSA and its uses: • DSA is a contrastbased imaging technique that utilizes X-rays to visualize blood vessels. • A contrast agent (usually iodine-based) is injected into the blood vessel being examined. • X-ray images are continuously captured before and after the injection of the contrast agent. • The post-contrast images are digitally subtracted from the pre-contrast images, resulting in a clear visualization of the blood vessels without surrounding tissues.

[0011]

[0008] DSA uses are listed below:

[0012] Vascular Assessment: DSA is primarily used for the assessment of the vascular system. It helps doctors visualize blood flow, detect abnormalities, and diagnose various vascular conditions. • Diagnostic Tool: It is invaluable in diagnosing conditions such as arterial stenosis (narrowing), aneurysms (weakened and bulging arteries), and vascular malformations.

[0013] • Preoperative Planning: Surgeons use DSA images to plan complex vascular surgeries, ensuring precision during procedures.

[0014] • Postoperative Evaluation: After vascular surgeries, DSA may be used to assess the success of the procedure and check for any complications.

[0015] • Interventional Procedures: DSA is also used during minimally invasive interventional procedures, such as angioplasty and stent placement, to guide the insertion of catheters and monitor the progress of the treatment in real-time.

[0016] • Stroke and Aneurysm Evaluation: DSA is crucial in assessing the blood vessels in the brain, helping to identify conditions like cerebral aneurysms or arteriovenous malformations that may lead to strokes.

[0017] • Peripheral Vascular Disease: DSA can diagnose blockages or narrowing in the peripheral arteries, often seen in conditions like peripheral arterial disease (PAD).

[0018]

[0009] Process of Digital Subtraction Angiography

[0019] Digital Subtraction Angiography (DSA) is a sophisticated medical imaging technique employed to visualize blood vessels within the body, primarily arteries and veins. DSA plays a pivotal role in diagnosing various vascular conditions, such as blockages, aneurysms, and vascular malformations.

[0010] The intricate process of DS A

[0020] • Patient Preparation: The DSA procedure typically necessitates the patient to lie on an examination table. Prior to the procedure, the patient may receive a sedative to alleviate anxiety and discomfort. It is imperative to ensure that the patient is adequately informed about the procedure and has provided informed consent.

[0021] • Catheterization: A critical component of DSA is the introduction of a catheter into the vascular system. Usually, a small incision is made, often in the femoral artery or vein, and a catheter is threaded through the blood vessels to reach the area of interest. The catheter is carefully guided using fluoroscopy, a real-time X-ray imaging technique.

[0022] • Contrast Injection: Once the catheter is appropriately positioned, a contrast agent, typically iodine-based, is injected into the blood vessel. This contrast agent is radiopaque, meaning it appears white on X-ray images, providing excellent visibility of the blood vessels. The injection of contrast is performed under continuous fluoroscopic monitoring.

[0023] • Image Acquisition: As the contrast agent is injected, a series of Xray images are captured in rapid succession. These images are taken at different angles and orientations to create a comprehensive view of the blood vessels. The X-ray machine used in DSA is equipped with a digital detector that captures the images in real-time. • Subtraction Technique: The ’’subtraction” in DSA refers to a unique digital processing technique. Initially, a baseline image (mask) is acquired before contrast injection. This image captures the underlying anatomy without the contrast agent. As the contrast flows through the vessels, subsequent images are acquired. These images are then subtracted from the baseline image. What remains is a clear depiction of the contrast filled blood vessels while removing the surrounding structures, enhancing the visibility of the vasculature.

[0024] • Real-Time Visualization: The subtraction process occurs in real-time, allowing the radiologist to monitor the flow of contrast material and identify any abnormalities or blockages as they happen. This feature is particularly useful for interventions such as angioplasty or stent placement, as it provides immediate feedback to guide the procedure. • Image Interpretation: The final subtracted images are meticulously analyzed by a skilled radiologist. They interpret the images to diagnose vascular conditions accurately, evaluate blood flow, and determine the need for further treatment or intervention.

[0025] • Post-Procedure Care: After the procedure is completed, the catheter is carefully removed, and the incision site is typically sutured. The patient is observed for any immediate complications, and post-procedure care instructions are provided.

[0026] [Oi l] Different ways of generating summary images: There are a number of techniques and algorithms used to create a summary or mapping of all arteries from a DS A loop without having to inject the dye multiple times. One common approach is to use a technique called image segmentation. In image segmentation, a computer algorithm is used to identify and separate different objects in an image. In the case of DSA images, the computer algorithm would be used to identify and separate the arteries from the surrounding tissues. Once the arteries have been segmented, the computer algorithm can then be used to create a 3D model of the arterial system. This 3D model can then be used to create a summary or mapping of all of the arteries in the body. Another approach to creating a summary or mapping of all arteries from a DSA loop is to use a technique called flow tracking. In flow tracking, a computer algorithm is used to track the movement of the contrast dye as it flows through 3 the arteries. This information can then be used to create a map of the arterial system and to assess the flow of blood through the blood vessels. There are several different computer algorithms that can be used for image segmentation and flow tracking. The choice of computer algorithm will depend on a few factors, including the type of DSA images being used, the desired accuracy of the results, and the computational resources available.

[0027]

[0012] Here are some other approaches and algorithms that can be used to create a summary or mapping of all arteries from a DSA loop:

[0028] • Vesselness filtering is a technique that can be used to identify blood vessels in medical images. It works by identifying areas of the image that have high vesselness, which is a measure of how likely an area is to contain a blood vessel.

[0029] • Maximum intensity projection (MIP) is a technique that can be used to create a 3D image from a series of 2D images. It works by projecting the maximum intensity value from each 2D image onto a 3D surface. This can be used to create a 3D map of the arterial system from a series of DSA images.

[0030]

[0013] Graph-based methods can be used to represent the arterial system as a graph, where the nodes of the graph represent the arteries and the edges of the graph represent the connections between the arteries. Graph algorithms can then be used to find the shortest path between two arteries or to identify the most important arteries in the system.

[0031]

[0014] Deep learning algorithms are a type of machine learning algorithm that can be used to learn complex patterns from data. Deep learning algorithms have been used to develop accurate and efficient methods for image segmentation and flow tracking in DSA images. Here are some specific examples of deep learning algorithms that have been used for arteries mapping:

[0032]

[0015] VesselNet is a deep learning algorithm that can be used to segment blood vessels in DSA images. VesselNet is a convolutional neural network (CNN) that has been trained on a large dataset of DSA images with manually annotated blood vessels.

[0033]

[0016] FlowNet is a deep learning algorithm that can be used to track the flow of contrast dye in DSA images. FlowNet is a CNN that has been trained on a large dataset of DSA images with known flow patterns. Deep learning algorithms have the potential to revolutionize the way that arteries mapping is performed but are still under development.

[0034]

[0017] One of the key challenges of using deep learning algorithms for arteries mapping is the need for large datasets of labelled DSA images.

[0035]

[0018] The proposed invention relates to a system for the enhancing image quality more specifically, to a system and method for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping will rule out the challenges addressed here.

[0036] OBJECTS OF THE INVENTION

[0037]

[0019] The principal object of the invention is to provide a system for the enhancing image quality more specifically, to a system and method for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping.

[0020] Said and other objects of the present disclosure will be apparent to a person skilled in the art after consideration of the following summary of subject matter as claimed, detailed description taken into consideration with accompanying drawings in which preferred embodiments of the present disclosure are illustrated.

[0038] SUMMARY OF INVENTION

[0039]

[0021] The object of the invention is achieved by a system and method for enhancing image quality of an internal body part. The system comprising a processor which is coupled to the memory. A plurality of images of the internal body part are stored in the memory. Secondly, the processor receives the plurality of images of the internal body part from the memory. Next the processor determines a pixel density value of each of the images. Thirdly, sorts the plurality of the images according to the pixel density value of the images, so as to have a base image with highest pixel density value. Fourthly, blend the base image with each of the sorted plurality of images by the processor iteratively and finally generates an enhanced base image.

[0040]

[0022] The another embodiment of the present invention is that the processor is adapted to blend the base image with each of the sorted plurality of images iteratively, such that the base image is progressively blended with a next sorted image which is next in the pixel density value to generate an updated base image, and to carry out the blending procedure on the updated image using the next sorted image next in line according to the pixel density value unless a last sorted image which is last in the sorted plurality of images is progressively blended with the updated base image.

[0041]

[0023] Another yet one embodiment of the present invention is that the enhanced base image is obtained by adapting contrast adjustment to a last updated base image.

[0042]

[0024] The object of the present invention is also achieved using a method for enhancing image quality of an internal body part. Firstly, storing plurality of images of the internal body part in a memory. Next, determining a pixel density value of each of the images by a processor. Thirdly, sorting plurality of the images by the processor according to the pixel density value of the images, so as to have a base image with highest pixel density value. Fourthly, blending the base image with each of the sorted plurality of images by the processor iteratively, and finally generating enhanced base image.

[0043]

[0025] Another embodiment of the present invention is that the blending of the base image with each of the sorted plurality of images by the processor iteratively is carried out in a weighted differentiation fashion, such that weightage of base image is different than the weightage of the sorted plurality of images during each iterative blending, except a first iteration of blending where the weightage of base image is equal to the weightage of a second image in the sorted plurality of images, wherein the second image is second in line to the base image in the sorted plurality of images.

[0044]

[0026] Another embodiment of the present invention with respect to blending the base image with each of the sorted plurality of images by the processor iteratively is carried out such that the base image is progressively blended with a next sorted image which is next in the pixel density value to generate an updated base image, and to carry out the blending procedure on the updated image using the next sorted image next in line according to the pixel density value unless a last sorted image which is last in the sorted plurality of images is progressively blended with the updated base image.

[0045]

[0027] Another yet one embodiment of the present invention is that the blending the base image with each of the sorted plurality of images by the processor iteratively is carried out in a weighted differentiation fashion, such that during progressive blending, weightage of pixel density of base image is different from a weightage of the next sorted image which is next in the pixel density value, except a first iteration of blending where the weightage of base image is equal to the weightage of a second image in the sorted plurality of images, wherein the second image is second in line to the base image in the sorted plurality of images.

[0046]

[0028] Another embodiment of the present invention is that the progressive blending, weight of the base image and the next sorted image is changed by a variable whose variation is progressively factored based on number of total images in the sorted plurality of images.

[0047]

[0029] Another yet one embodiment of the present invention is that the blending the base image with each of the sorted plurality of images by the processor iteratively is carried out pixel by pixel, wherein each pixel of the base image is super imposed on to the corresponding pixel of the sorted image being blended from the sorted plurality of images.

[0048]

[0030] One embodiment of the present invention is that generating enhanced base image wherein enhanced base image obtained by adapting contrast adjustment to a last updated base image.

[0049]

[0031] The concepts are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

[0050]

[0032] To further understand the characteristics and technical contents along with technical advantages and exemplary data of the present disclosure, a description relating thereto will be made with reference to the accompanying drawings. However, the drawings are illustrative only but not used to limit the scope of the present subject matter. BRIEF DESCRIPTION OF DRAWINGS

[0051]

[0033] It is to be noted, however, that the appended drawings illustrate only typical embodiments of the present subject matter and are therefore not to be considered for limiting of its scope, for the invention may admit to other equally effective embodiments. The detailed description is described with reference to the accompanying figures. In the figures, a reference number identifies the figure in the reference number first appears. The same numbers are used throughout the figures to reference like features and components. Some embodiments of system or method or structure in accordance with embodiments of the present subject matter are now described, by way of example, and with reference to the accompanying figures, in which:

[0052]

[0034] FIG. 1 illustrates the frames which represent a DSA loop in brief. Initially there is no visible artery without X-ray opaque contrast medium in Image-la. After the contrast medium enters the artery, the arteries start to show in the loop frames [Images(lb,lc,ld)]. When the X-ray opaque contrast media starts to leave the artery, the arteries begin to disappear again [Images(le,lf,lg)] until they are completely invisible [Images(lh,li)]., according to the present invention;

[0053]

[0035] FIG. 2 illustrates the output of the method after giving the DSA loop as input, it generates a summarized image of entire loop for mapping arteries, according to the present invention.

[0054]

[0036] FIG. 3 illustrates the final result after contrast adjustment of Fig-2 image.

[0037] FIG. 4 illustrates the method for enhancing image quality of an internal body part.

[0055]

[0038] FIG. 5 illustrates the system for enhancing image quality of an internal body part.

[0056]

[0039] The figures depict embodiments of the present subject matter for the purposes of illustration only.

[0057]

[0040] A person skilled in the art will easily recognize from the following description that alternative embodiments of the device and process illustrated herein may be employed without departing from the principles of the disclosure described herein.

[0058] DETAILED DESCRIPTION

[0059]

[0041] The best and other modes for carrying out the present invention are presented in terms of the embodiments, herein depicted in drawings provided. The embodiments are described herein for illustrative purposes and are subject to many variations. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient but are intended to cover the application or implementation without departing from the spirit or scope of the present invention. Further, it is to be understood that the phraseology and terminology employed herein are for the purpose of the description and should not be regarded as limiting. Any heading utilized within this description is for convenience only and has no legal or limiting effect.

[0042] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.

[0060]

[0043] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other, sub-systems, elements, structures, components, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

[0061]

[0044] For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as would normally occur to those skilled in the art are to be construed as being within the scope of the present invention.

[0045] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.

[0062]

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which this invention belongs.

[0063]

[0047] The system, method and examples provided herein are only illustrative and not intended to be limiting.

[0064]

[0048] Embodiments of the present invention will be described below in detail with reference to the accompanying figures.

[0065]

[0049] The present invention provides for asystem (500) for the enhancing image quality more specifically, to a system (500) and method (400) for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping.

[0050] Accordingly in the embodiment of the present invention, a system (500) and method (400) for enhancing image quality of an internal body part based on the principles of X-ray based angiography, digital subtraction angiography, arterial road-mapping. The detailed explanation of the subject invention is depicted in FIGS. Ito 5 described hereinbelow.

[0066]

[0051] FIG. 1 illustrates the frames which represent a DSA loop in brief. Initially there is no visible artery without X-ray opaque contrast medium in Image-la. After the contrast medium enters the artery, the arteries start to show in the loop frames [Images(lb,lc,ld)]. When the X-ray opaque contrast media starts to leave the artery, the arteries begin to disappear again [Images(le,lf,lg)] until they are completely invisible [Images(lh,li)]., according to the present invention. All the images [lb, 1c, Id, le, If, 1g, Ih, li] and any number of images could be in loop frames are considered as plurality of images (502i,....502n) in the present invention.

[0067]

[0052] FIG. 4 illustrates the system (500) for enhancing image quality of an internal body part. The system (500) comprising a processor (503) which is coupled to the memory (501). A plurality of images (502i n) of the internal body part are stored in the memory (501). Secondly, the processor (503) receives the plurality of images (502i n) of the internal body part from the memory (501).Next the processor determines a pixel density value of each of the images. Thirdly, sorts the plurality of the images according to the pixel density value of the images, so as to have a base image with highest pixel density value. Fourthly, blend the base image with each of the sorted plurality of images by the processor iteratively and finally generates an enhanced base image.

[0068]

[0053] The processor (503) is adapted to blend the base image with each of the sorted plurality of images iteratively, such that the base image is progressively blended with a next sorted image which is next in the pixel density value to generate an updated base image, and to carry out the blending procedure on the updated image using the next sorted image next in line according to the pixel density value unless a last sorted image which is last in the sorted plurality of images is progressively blended with the updated base image.

[0069]

[0054] FIG. 2 illustrates the one embodiment of the present invention. Here output of the system after giving the DSA loop (plurality of images) as input is generated. A summarized image of entire loop for mapping arteries called as updated base image is generated, according to the present invention.

[0070]

[0055] Further the processor (503) generates the enhanced base image by adapting contrast adjustment to a last updated base image. FIG. 3 illustrates the final result after contrast adjustment of Fig-2 image.

[0071]

[0056] FIG. 5 illustrates the method for enhancing image quality of an internal body part. Firstly, storing (401) plurality of images of the internal body part in a memory (501), Next, determining (402) a pixel density value of each of the images by a processor (503). Thirdly, sorting (403) plurality of the images by the processor according to the pixel density value of the images, so as to have a base image with highest pixel density value. Fourthly, blending (404) the base image with each of the sorted plurality of images by the processor iteratively, and finally generating (405) enhanced base image.

[0072]

[0057] For example an Image Sequence Extraction from DICOM Loop File is done. For this the first step, we extract an image sequence, denoted as I = {Ii, b, . . . , In}, from a DICOM loop file obtained during a catheterization laboratory procedure. Each image, Ii , is a 16-bit grayscale image with dimensions 1344 x 1344 pixels.

[0073]

[0058] Second step - Sorting Images by Pixel Density: We sort the images in I according to their pixel densities, which is the number of gray pixels in each image. This step is crucial for identifying images with higher contrast potential. Let P(Ii) represent the pixel density of image Ii. The images are sorted in descending order:

[0074] I = {1(1), 1(2), . . . , I(n)}, where P(I(1)) > P(I(2)) > . . . > P(I(n)) (1)

[0075]

[0059] Third step - Selecting the Base Image: The image with the maximum number of dark pixels, 1(1), is chosen as the base image for further processing. The base image, denoted as B, serves as the reference for contrast enhancement.

[0076]

[0060] Fourth step - Initialization of Variables: We initialize two variables, a and b, to control the transparency and blending of images during the superposition loop. Additionally, we define c as a function of the number of frames, n, as follows: a = 0.5 (2) b = 0.5 (3) e = 0.5 / n (4)

[0077]

[0061] Fifth step - Transparency-Weighted Superposition Loop (for i = 2 to n):

[0078] In this step, we iterate through the image sequence from 1(2) to I(n) , blending each image with the current base image B. The blending process is controlled by the variables a and b, which change during each iteration.

[0079] The new base image, Bi , is updated as follows:

[0080] Bi = (B a) + (I(i) • b) (5)

[0081] After each iteration, we update a and b as follows: a = a + e (6) b = b - e (7)

[0082]

[0062] Final step - Contrast Adjustment: Finally, the contrast adjusted resultant image, denoted as Benhanced, is obtained through a contrast adjustment process applied to the last base image Bn. This algorithm is designed to enhance DSA image sequences by selecting an appropriate base image and performing transparency-weighted superposition followed by contrast enhancement. By emphasizing images with higher pixel density and progressively blending them, we aim to improve the visual quality and diagnostic value of DSA images.

[0083] TECHNICAL ADVANTAGES:

[0084] •

[0063] The main advantage of the present invention is that the proposed invention helps in

[0085] • Precise Navigation: Mapping helps guide the catheter to the right artery, reducing the risk of complications.

[0086] • 2. Detecting Abnormalities: It aids in spotting issues like blockages, aneurysms, or narrowings in arteries.

[0087] • 3. Treatment Planning: Helps plan interventions like angioplasty or stent placement accurately.

[0088] • 4. Complication Prevention: Mapping minimizes the chance of catheter misplacement.

[0089] • 5. Minimal dye usage during procedure: Minimizes use of x-ray opaque dye used in the procedure. • 6. Blood Flow Assessment: Helps assess blood flow and severity of blockages.

[0090] • 7. Post-Procedure Check: Useful for evaluating the procedure’s success and safety. • 8. High-quality Images: DSA provides high-quality image for all types of blood vessels, including small and peripheral arteries from all angles.

[0091] List of Reference Signs: 500 System

[0092] 501 Memory

[0093] 502i, .. .502nPlurality of images

[0094] 503 Processor

[0095] 504 Updated base image 505 Last updated base image

[0096] 506 Enhanced base image

Claims

We claim:

1. A system (500) for enhancing image quality of an internal body part, the system (500) comprising:-a memory (501) storing a plurality of images (502i,...502n) of the internal body part;-a processor (503) coupled to a memory (501), the processor is adapted to: receive the plurality of images (502i,...502n) of the internal body part from the memory, determine a pixel density value of each of the images, sort the plurality of the images according to the pixel density value of the images, so as to have a base image (504) with highest pixel density value, blend the base image (505) with each of the sorted plurality of images by the processor iteratively, and to generate an enhanced base image (506).

2. The system as claimed in claim 1, wherein the processor (503) is adapted to blend the base image (504) with each of the sorted plurality of images iteratively, such that the base image is progressively blended with a next sorted image which is next in the pixel density value to generate an updated base image (505), and to carry out the blending procedure on the updated image using the next sorted image next inline according to the pixel density value unless a last sorted image which is last in the sorted plurality of images is progressively blended with the updated base image.

3. The system as claimed in claim 1, wherein the enhanced base image (506) is obtained by adapting contrast adjustment to a last updated base image (505).

4. A method (400) for enhancing image quality of an internal body part, the method comprising:-storing (401) plurality of images of the internal body part in a memory, -determining (402) a pixel density value of each of the images by a processor;- sorting (403) plurality of the images by the processor according to the pixel density value of the images, so as to have a base image with highest pixel density value,-blending (404) the base image with each of the sorted plurality of images by the processor iteratively, and-generating (405) enhanced base image.

5. The method as claimed in claim 1, wherein blending (404) the base image with each of the sorted plurality of images by the processor iteratively is carried out in a weighted differentiation fashion, such thatweightage of base image is different than the weightage of the sorted plurality of images during each iterative blending, except a first iteration of blending where the weightage of base image is equal to the weightage of a second image in the sorted plurality of images, wherein the second image is second in line to the base image in the sorted plurality of images.

6. The method as claimed in claim 1, wherein blending (404) the base image with each of the sorted plurality of images by the processor iteratively is carried out such that the base image is progressively blended with a next sorted image which is next in the pixel density value to generate an updated base image, and to carry out the blending procedure on the updated image using the next sorted image next in line according to the pixel density value unless a last sorted image which is last in the sorted plurality of images is progressively blended with the updated base image.

7. The method as claimed in claim 3, wherein blending (404) the base image with each of the sorted plurality of images by the processor iteratively is carried out in a weighted differentiation fashion, such that during progressive blending, weightage of pixel density of base image is different from a weightage of the next sorted image which is next in the pixel density value, except a first iteration of blending where the weightage of base image is equal to the weightage of a second image inthe sorted plurality of images, wherein the second image is second in line to the base image in the sorted plurality of images.

8. The method as claimed in claim 1, while progressive blending, weight of the base image and the next sorted image is changed by a variable whose variation is progressively factored based on number of total images in the sorted plurality of images.

9. The method as claimed in claim 1, wherein the blending (404) the base image with each of the sorted plurality of images by the processor iteratively is carried out pixel by pixel, wherein each pixel of the base image is super imposed on to the corresponding pixel of the sorted image being blended from the sorted plurality of images.

10. The method as claimed in claim 1, comprising generating enhanced base image wherein enhanced base image (506) obtained by adapting contrast adjustment to a last updated base image (505).

Images