63 results about "Time intensity curve" patented technology

There is provided a blood-flow analysis apparatus for analyzing the time intensity curve for each pixel or region of interest of time-series images collected by photographing a desired region of a sample over time with a medical modality by applying a tracer to the blood of the sample. The analysis apparatus includes a calculation unit for calculating parameters indicative of blood-flow dynamics peculiar to the measured tissue of the sample as ratio to or difference from parameters at a desired reference region on the basis of only the time intensity curve of the measured tissue, and a visual-information presentation unit for visually presenting the calculations by the calculation unit.

Methods and systems for characterizing tissue of a subject are disclosed. The method includes receiving a time series of fluorescence images of the tissue of the subject wherein the images define a plurality of calculation regions, generating a plurality of time-intensity curves for the plurality of calculation regions, creating a set of parameter values for each calculation region, generating a total rank value for each calculation region by comparing the sets of parameter values, and converting the total rank value into a ranking map image. Also disclosed are methods and systems for characterizing a wound in tissue by generating a wound index value.

Methods and systems for assessing tissue of a subject include receiving a time series of signal intensity data capturing the transit of an imaging agent through tissue over a period of time, wherein the tissue comprises a plurality of calculation regions and wherein signal intensity in each calculation region over the period of time may be approximated by a time-intensity curve corresponding to the calculation region; determining, for each calculation region, a coefficient value that is related to at least a portion of the time-intensity curve corresponding to the calculation region; and converting the coefficient values across the plurality of calculation regions into a coefficient-derived image map.

The invention belongs to the technical field of computer vision and digital image processing, and specifically relates to a real-time tracking and quantitative analysis method based on a liver ultrasound contrast image. The method mainly comprises the following steps: 1) selecting a region of interest from an initial frame of a liver sequence image, and determining a candidate region through combination of an optical flow method and a particle filtering method; 2) extracting features of a candidate sample by utilizing a deep neural network, and obtaining a tracking result; 3) judging accuracy of the current tracking result through similarity match; and 4) quantifying radiography parameters of an observation point area, eliminating fluctuation interference in the image, and fitting a time intensity curve through a cubic spline interpolation method to allow doctor's vision and differential diagnosis to be more visual. Compared with the prior art, the method, by utilizing the feature that tissue deformation has period, and through a global and local area combination method, has dominant advantages in tracking effect and speed.

An ultrasonic diagnostic apparatus is provided for displaying a color map on which a difference in blood flow dynamics is reflected. Setting a test subject who is administered a contrast agent is assumed as an imaging target, and a probe transmits and receives ultrasonic waves to and from the target for contrast imaging. Image data is constructed based on signals received by the probe and a time-intensity curve is generated from intensity values of the image data. According to the time-intensity curve, a value of a predetermined parameter is calculated for producing a distribution image of blood flow dynamics. The distribution image (color map) of the blood flow dynamics is produced from the parameter value. The color map is a two-dimensional or a three-dimensional image being color-coded according to the parameter value. At least one of the followings may be used as the parameter; a contrast agent inflow start time, a balanced intensity arrival time, a contrast agent disappearance start time, a contrast agent duration, a preset threshold arrival time, an intensity increase rate, an intensity decrease rate, intensity of balanced state, and a total flow amount.

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

A method for generating an at least three-dimensional display data set of a time parameter relating to the chronological spreading of a contrast medium introduced into a vessel system is provided. A series of chronologically successive x-ray images of digital subtraction angiography from at least two different projection directions showing the chronological spreading of the contrast medium is used. The method includes determining a three-dimensional position for at least one correspondence point and / or correspondence region defined, in each case, in at least one x-ray image of a projection direction. For each three-dimensional position, a time parameter assigned to the three-dimensional position is determined by evaluation of time-intensity curves assigned to the correspondence points or correspondence regions over the series. The display data set formed from the three-dimensional positions is displayed with the assigned time parameters.

Methods and systems for characterizing tissue of a subject are disclosed. The method includes receiving a time series of fluorescence images of the tissue of the subject wherein the images define a plurality of calculation regions, generating a plurality of time-intensity curves for the plurality of calculation regions, creating a set of parameter values for each calculation region, generating a total rank value for each calculation region by comparing the sets of parameter values, and converting the total rank value into a ranking map image. Also disclosed are methods and systems for characterizing a wound in tissue by generating a wound index value.

An ultrasonic diagnostic apparatus includes a display device for displaying an ultrasonic image of a subject has been given a contrast medium, a setting device for setting a region of interest in an ultrasonic image displayed in the display device, and a computing device for computing a time intensity curve indicating time change in the average brightness of the pixels in a set region of interest. The computing device excludes pixels corresponding to a non-observed object in a region of interest when computing a time intensity curve.

The invention discloses an ultrasound contrast image segmentation method based on a statistical partial differential model. The method comprises a preprocessing step and an online segmentation step. At the preprocessing step, a to-be-segmented image and an initial contour are obtained; and at the online segmentation step, an energy function is obtained by using the to-be-segmented image and the initial contour as inputs, an edge stop function is introduced into the energy function to constrain the length item and an LoG image energy function is added, numerical solution is carried out on the energy function, and target edge capturing and segmentation are carried out on a single or a plurality of different ROI images quickly. The ROI in an ultrasound contrast image is segmented; a doctor isassisted in obtaining time strength curves of masses in a lesion region and same level reference regions like parenchymal organs including the liver and the kidney and the like and superficial organsincluding the breast and the thyroid gland and the like by observing the segmentation result of the whole sequence, so that a quantitative index is obtained by the analysis.

The invention discloses a time intensity characteristic-based computer aided method for diagnosing benign and malignant breast lesions, comprising the following steps of: selecting an image sequence layer with suspicious lesions from a DCE(Dynamic Contrast-Enhanced)-MRI (Magnetic Resonance Imaging) image sequence set; carrying out denoising and filtering treatment on each image layer and acquiring a photographic subtraction sequence of the layer; determining a time intensity curve according to the photographic subtraction sequence of the layer; analyzing the characteristic of the time intensity curve and giving out a diagnosis result of the layer, namely a preliminary diagnosis result of the lesion; and fusing diagnosis results of the time intensity curves for different layers to give out a final lesion diagnosis result. According to the time intensity characteristic-based computer aided method disclosed by the invention, by comprehensively analyzing the characteristic of the time intensity curve on each layer, the accuracy of benign and malignant diagnosis of the lesions can be greatly improved for assisting clinical diagnosis for breast diseases and further the misdiagnosis rate is reduced.

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

The invention relates to a method for quantitatively analyzing a myocardium acoustic contrast image, which belongs to the technical field of medical image analysis and processing. The method comprises the following steps: determining an energy equation in optical flow calculation; constructing pyramid expressions of each frame of a myocardium acoustic contrast image sequence; calculating an optical flow field of the image sequence by adopting a searching policy from roughness to precision; selecting an ROI area of a myocardium segment; determining displacements of the selected ROI area of the myocardium segment in each frame of the myocardium acoustic contrast image sequence; determining positions of the selected ROI area of the myocardium segment in each frame of the myocardium acoustic contrast image sequence and measuring dB values of sampling points of the positions; determining unknown parameters in a quantitative analysis mathematical model of the myocardium acoustic contrast; and drawing a time-intensity curve of the myocardium acoustic contrast. The method achieves the full automation of the quantitative analysis of the myocardium acoustic contrast image and has accurate analysis result and high clinical effectiveness and objectivity.

The invention relates a method for analyzing a time-intensity curve of a myocardium ultrasonic angiography image, in particular to a method for measuring myocardium ultrasonic angiography image physiological parameters based on EMD. The method includes dividing a myocardial area into six areas according to a circumference, extracting perfusion signals and extracting a time-intensity curve of each of divided myocardial areas respectively; performing EMD on an extracted time-average gray value intensity curve to obtain an expanded signal intrinsic mode function, performing Hilbert transform on the obtained first intrinsic mode function to obtain instantaneous spectrum parameters, and adding amplitude values of each frequency point to obtain a marginal spectrum; and performing threshold judgment on a marginal spectrum through energy thresholds of the marginal spectrum. According to the method, an analytical approach based on the myocardium ultrasonic angiography image is provided for diagnosing myocardial infarction or myocardial microcirculation, and further physiological parameter measurement accuracy based on the myocardium ultrasonic angiography image is improved, and doctor subjective dependence is reduced.

A method of generating a time intensity curve includes receiving data regarding a scan of a patient injected with a contrast agent, generating a series of contrast images based upon the received data, and generating at least one parametric image based upon at least two contrast images.

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

An ultrasound diagnostic apparatus is provided. The ultrasound diagnostic apparatus includes an image data generation unit configured to generate image data corresponding to one frame of a subject, based on sound ray data acquired by transmitting ultrasound to the subject, a high intensity image determination unit configured to compare strength of sound ray data corresponding to the one frame with a predetermined value and determine whether the one frame is a high intensity image, a setting unit configured to set a region of interest onto an image based on the image data generated by the image data generation unit, and a time intensity curve arithmetic unit configured to eliminate sound ray data corresponding to the region of interest in the high intensity image and perform an arithmetic operation on a time intensity curve in which pixel values of the region of interest set by the setting unit are made consecutive.

In another exemplary embodiment of the present disclosure is an exemplary system, method and computer-accessible for determining a characteristic(s) of a tissue(s), that can include, for example, receiving magnetic resonance imaging information regarding the tissue(s) including a time-intensity curve(s) of the tissue(s) based on a contrast agent(s) concentration, actively encoding a part of the time-intensity curve(s) with a magnetic resonance relaxation property(s) of the tissue(s) by varying a magnetic resonance imaging scan parameter(s) to generate encoded data during magnetic resonance data acquisition, and determining the tissue characteristic(s) based on the encoded data.

An ultrasonic diagnostic apparatus is provided for displaying a color map on which a difference in blood flow dynamics is reflected. Setting a test subject who is administered a contrast agent is assumed as an imaging target, and a probe transmits and receives ultrasonic waves to and from the target for contrast imaging. Image data is constructed based on signals received by the probe and a time-intensity curve is generated from intensity values of the image data. According to the time-intensity curve, a value of a predetermined parameter is calculated for producing a distribution image of blood flow dynamics. The distribution image (color map) of the blood flow dynamics is produced from the parameter value. The color map is a two-dimensional or a three-dimensional image being color-coded according to the parameter value. At least one of the followings may be used as the parameter; a contrast agent inflow start time, a balanced intensity arrival time, a contrast agent disappearance start time, a contrast agent duration, a preset threshold arrival time, an intensity increase rate, an intensity decrease rate, intensity of balanced state, and a total flow amount.

The invention relates to the technical field of ultrasonic contrast, in particular to an ultrasonic contrast video analysis method and system, which can quantitatively analyze ultrasonic contrast video. The method comprises collecting ultrasonic contrast video; extracting at least two frames of ultrasonic contrast images from the collected ultrasonic contrast video according to time sequence; selecting an area of interest in one frame of ultrasonic contrast image, and automatically selecting the same area of interest in the other frames of ultrasonic contrast images; calculating average grayscales of the areas of interest in the ultrasonic contrast images, respectively, converting to ultrasonic signal intensity, and working out a time-intensity curve; fitting the time-intensity curve, and working out a fitted curve; and calculating relevant parameters in the fitted curve. The system comprises a video collection module, an image extraction module, an area of interest selection module, an intensity analysis module, a time-intensity curve plotting module, a curve fitting module and a curve analysis module.

There is provided a blood-flow analysis apparatus for analyzing the time intensity curve for each pixel or region of interest of time-series images collected by photographing a desired region of a sample over time with a medical modality by applying a tracer to the blood of the sample. The analysis apparatus includes a calculation unit for calculating parameters indicative of blood-flow dynamics peculiar to the measured tissue of the sample as ratio to or difference from parameters at a desired reference region on the basis of only the time intensity curve of the measured tissue, and a visual-information presentation unit for visually presenting the calculations by the calculation unit.

Methods and systems for assessing tissue of a subject include receiving a time series of signal intensity data capturing the transit of an imaging agent through tissue over a period of time, wherein the tissue comprises a plurality of calculation regions and wherein signal intensity in each calculation region over the period of time may be approximated by a time-intensity curve corresponding to the calculation region; determining, for each calculation region, a coefficient value that is related to at least a portion of the time-intensity curve corresponding to the calculation region; and converting the coefficient values across the plurality of calculation regions into a coefficient-derived image map.

Ultrasonic imaging methods are described for eliminating the effects of physiological motion such as respiratory motion from image data of a sequence of images which is to be used for quantified analysis such as time-intensity curve computation. A bright reflector in the images of the loop which exhibits motional effects such as cyclical variation in brightness or position from image to image is identified and its variation used to identify cycles of motion. A phase or range of phases of the cycles is identified. Images acquired during the identified phase or phase range of the motion cycles during the loop are then used for quantified processing.

With respect to a scanning plane of a subject having been injected with a contrast agent, an ultrasound transmission section 6 transmits for a plurality of times an ultrasonic pulse of such an intensity capable of collapsing the contrast agent. An ultrasound reception section 5 receives an echo signal cluster from the subject based on the ultrasonic pulses, and generates a plurality of RF data items through addition of the echo signal cluster using an adder 5C. Based on the plurality of RF data items, a TIC / MTT measurement section 25 measures a time intensity curve (TIC), and then measures a mean transit time (MTT) of the blood flow based on the time intensity curve for display on a display section 21.

The invention provides a respiratory motion compensation and bimodal fitting method for a time intensity curve. The method comprises the following steps: based on a block matching method taking a accumulative absolute error as a standard, carrying out respiratory motion compensation for the time intensity curve extracted from a serial B ultrasound contrastographic picture, and then carrying out pretreatment by utilizing frequency domain filtering, time domain filtering and baseline zeroing; carrying out recycling peak fitting determination for the pretreated time intensity curve; if a recycling peak exists, carrying out recycling peak fitting, outputting a result after motion compensation and bimodal fitting, and outputting the moment and the intensity of a recycling inflection point. The invention provides the respiratory motion compensation and bimodal fitting method for the time intensity curve and a microvesicle recycling inflection point identification method, so that the accuracy of TIC fitting is improved, and more accurate blood perfusion information can be obtained. A new method is possibly provided for detection of microcirculation clinically, and the method has an important significance on the evaluation of blood perfusion.

The invention discloses a method for measuring the recirculation rate and / or the recirculation volume of a dialyzing access, comprising the following steps of: injecting a contrast agent on the dialyzing access which comprises a dialyzing vessel / internal fistula access and a dialyzator pipeline; extracting an ultrasonic dialyzing echo signal or a Doppler signal of the contrast agent on the dialyzing access to generate a corresponding time intensity curve; and calculating the recirculation rate and / or the recirculation volume of the dialyzing access according to the parameters of a time intensity curve of an ultrasonic dialyzing echo signal or the Doppler signal. Accordingly, the invention also provides a system for measuring the recirculation rate and / or the recirculation volume of the dialyzing access, and therefore, the invention can be used for quickly and accurately measuring the recirculation rate and / or the recirculation volume of the dialyzing access in large quantity.

The invention discloses a method and a system for stable and quantitative analysis of ultrasound contrast images, which can solve the problems of target deformation, scale change and irregular motionin the tracking of points of interest of the ultrasound contrast image, and the stability and the accuracy of obtained contrast characteristic quantization parameters are high. The method comprises the steps of tracking a current frame in an ultrasound contrast image sequence based on adaptive color attributes and dimension reduction, and obtaining a tracking result comprising position and size information of a target area in a next frame; performing adaptive tracking strategy selection based on confidence evaluation, and performing whether a tracking result is stored and a next frame continues to be tracked based on adaptive color attributes and dimensionality decline or tracking again based on adaptive structure local sparse representation so as to obtain a tracking result is determined;and after all frames are processed, calculating a radiography intensity value according to the stored tracking result data, forming an original time intensity curve TIC, performing curve fitting, andcalculating radiography characteristic quantification parameters.

The invention provides an atherosclerotic plaque classifying system. The system comprises an angiography device which is used for acquiring a vascular ultrasound contrastographic image, a basic parameter acquisition device which is used for analyzing the vascular ultrasound contrastographic image to acquire the maximum plaque area A, an intraluminal time-intensity curve and an intra-plaque time-intensity curve, extracting the intraluminal contrast agent peak time TTP1, the peak intensity IMAX1 and the area under the curve AUC1 from the intraluminal time-intensity curve, and extracting the intra-plaque contrast agent peak time TTP2, the peak intensity IMAX2 and the area under the curve AUC2 from the intra-plaque time-intensity curve, a plaque quantitative parameter calculation device which is used for acquiring the enhancement intensity IMAX, the maximum enhancement density DMAX, the relative peak time delta TTP, the area under the curve delta AUC and the relative average transit time delta mTT, and a classification result output device which is used for classifying atherosclerotic plaques according to the plaque quantitative parameter.

An ultrasonic diagnostic imaging system and method acquire a sequence of image data as a bolus of contrast agent washes into and out of the liver. The image data of contrast intensity is used to compute time-intensity curves of contrast flow in the hepatic artery, the portal vein, and at one or more regions of interest in the liver. The time-intensity curve of contrast flow in the hepatic artery is scaled to the time-intensity curve of contrast flow in a region of interest to produce time-intensity curve data representing the flow of blood at the region of interest due to arterial flow. The time-intensity curve data representing the flow of blood at the region of interest due to arterial flow is subtracted from the time-intensity curve of contrast flow in the region of interest to produce time-intensity curve data representing the flow of blood at the region of interest due to venous flow.

The invention discloses a method for estimating microbubble cluster dimension distribution in an evanishment process in solution, wherein the information of change of backscatter intensity of the microbubble cluster in a source energy radiation volume in the solution, namely a time intensity curve (TIC), is obtained through a two-dimensional area array transducer on a diagnostic ultrasound instrument in a plane wave transmitting / receiving way. The dimension distribution at the initial moment of evanishment of the cavitated microbubble cluster, namely the dimension distribution of the cavitated microbubble cluster generated when the source energy stops acting, is obtained through the obtained microbubble cluster evanishment information, namely the time intensity curve (TIC), and complete evanishment time of microbubbles of an initial radius obtained through calculation. The method provided by the invention realizes estimation of the dimension distribution of the microbubble cluster in the evanishment process of the cavitated microbubble cluster generated in a non-transparent substance in some energy acting forms (such as ultrasonic, microwave and laser) or the combination of the energy forms.