562 results about "Image diagnosis" patented technology

An ultrasound imaging diagnosis apparatus and a method for supporting safe and exact puncturing operation into a target region in a living body of a patient are provided. In the ultrasound imaging diagnosis apparatus, a regions setting unit sets a target tumor region for puncturing and blood vessel regions and organ region that are located near the tumor region based on the volume data acquired by 3-D scans on the object. To avoid insertions into the blood vessel regions and organ region, a puncturing needle position detecting unit detects the tip position and the inserting direction of the puncturing needle at just before and during insertion into the object. An expected inserting position calculating unit calculates an expected inserting position and an insertion error region to the tumor region based on the tip position data, inserting direction data and characteristic data of the puncturing needle. A puncturing navigation data generating unit generates a puncturing navigation data by composing the tumor region data, the organ region and blood vessel regions data, and the data relating to the expected inserting position and the insertion error region.

The invention discloses a microwave three-dimensional imaging method based on a rotary antenna array, and relates to a microwave imaging technology. The method comprises the following steps of: generating an electromagnetic signal by a signal transmitting module; driving an antenna array module which is distributed in a straight line form or a curved line form to rate by a mechanical scanning module, meanwhile, controlling the antenna array module by a switch array module to transmit an electromagnetic signal at the same time, and receiving a signal which is reflected back from an observation target by a back wave receiving module; converting a reflecting signal into a digital signal by an analogue-digital conversion module; and using the digital signal as back wave data acquired by an array element position of the corresponding antenna array; imaging the back wave data by a data processing module to acquire a three-dimensional complex image of the observation target; and displaying the three-dimensional complex image of the observation target by a display module. The imaging method disclosed by the invention is used for application fields of human body surface microwave image acquisition and safe detection, three-dimensional data acquisition of a human body and action based on actual circumstances, nondestructive testing, radar target imaging diagnosis and the like.

In a disease case DB, disease case images are classified by disorder and registered. In a feature quantity DB, a feature quantity (second feature quantity) of each disease case image classified by disorder is registered. A server compares a feature quantity (first feature quantity) of a lesion site included in a diagnosis target image, with the second feature quantity on a disorder-by-disorder basis, retrieves representative disease case images based on a comparison result from the disease case DB on a disorder-by-disorder basis, and provides a user with retrieved representative disease case images. Therefore, the user can obtain disease case images useful for determining a disorder or statistical information and the like regarding the disorder during image diagnosis based on the diagnosis target image.

A radiographic apparatus or system for imaging a dynamic state or process of an object such as a human body includes an indication unit for performing dynamic state guiding indication using a perceivable pattern corresponding to a dynamic state or motion to be engaged in by the patient, and an image acquisition unit for acquiring a plurality of radiographs of the human body. The resulting radiographs can be reviewed for diagnosis, and can be stored, either locally or at a remote location.

A system to create and review reports enables interactive manipulation of the displaying of two-dimensional and three-dimensional images associated with image diagnosis reports, at user terminals connected to a medium- or low-speed network. High-speed image processing devices are set up near the network of a PACS server which archives and transmits medical image data, and parameter sets are attached which serve to recreate reference images in diagnosis reports. When users at a requesting department review the reports at user terminals, parameter sets are added to the reports and transmitted to image processing devices. The image processing devices obtain image data from the PACS server based on these parameter sets. Image processing is performed, and the image data is then sent to user terminals.

Performing image diagnosis in an easier and more appropriate manner by focusing on functional levels and segments of a liver. A segment function level calculation unit obtains, from liver function angiographic images obtained using a contrast agent that produces a contrast effect according to a functional level of a liver of diagnostic target, evaluation values representing functional levels of a plurality of liver segments in liver regions, a display image generation unit generates an image based on the evaluation values, and the image so generated is displayed on a display unit.

The number of similar case images to be displayed is changed according to the number of times and progress of imaging diagnosis. First examination judgment means is added to a medical image interpretation support system comprising storage means for storing image data sets obtained by imaging subjects, similar case image search means for extracting similar case image data sets having a characteristic similar to an interpretation target image from the image data sets, and display control means for controlling display of the interpretation target image and the similar case images. The display control means controls the display so as to display a larger number of the similar case images together with the interpretation target image in the case where the interpretation target image has been judged to be a first examination image than in the otherwise case.

The invention discloses a fault detecting device of near field acoustic holography sound image mode identification and a detecting method thereof in the field of industrial detection. The device comprises a microphone array, a scanner frame, a reference source, a clamped rib plate, an excitation source and a data acquiring system. The invention adopts sound pressure amplitude and distribution changes under mechanical normal and fault states, borrows ideas from applications of an image diagnosis technology in other fields and utilizes image processing, feature extracting and mode identifying technologies to process a near field acoustic holography image. Experiments show that the method is effective, vibration source positioning and identifying functions coordinated with the holographic imaging technology is proven, the image feather extracting and mode identifying technologies are combined with the acoustic imaging technology, thus broadening the application range of the acoustic imaging technology and bringing a set of effective acoustic fault diagnosis technologies and feasibility of being widely used in engineering thereof.

A system is provided wherein data processing devices are connected to a high-speed picture archiving and communications system (PACS) server network that archives and transmits medical image data. As part of a diagnostic process, medical images are processed at the data processing devices and image processing parameter (IPP) sets are created. The image processing parameters are attached to image diagnosis reports and can be used to recreate the processing of key images that are referenced in the image diagnosis reports. Users of the diagnostic reports can send the IPP sets to the PACS server network to recreate and retrieve key diagnostic images. The image data can be compressed for transmission over low bandwidth networks.

The present invention provides compounds, or salts or solvates thereof, which can be used as probes for the imaging diagnosis of diseases in which tau protein accumulates, and compositions and kits comprising such compounds, or salts or solvates thereof. The present invention also provides a method for staining neurofibrillary tangles in brain samples, and a pharmaceutical composition for the treatment and / or prophylaxis of a disease in which β-sheet structure is the cause or possible cause.

The invention discloses a method for identifying benign and malignant lung nodules based on multi-dimensional information. The method comprises the following steps: 1, representing a three-dimensional nodule in a two-dimensional way; 2, building a feature model; 3, building a fuzzy classifier; 4, evaluating the classifying performance. The method has the beneficial effects that accurate feature modeling is crucial to the identification of benign and malignant lung nodules. More objective bases are laid for the identification of the benign and malignant lung nodules by adopting imaging diagnosis features, common shapes and textual features in image processing, and patient information, feature extraction is performed on a two-dimensional image generated on the basis of a helical scanning technology, and a novel method is adopted for feature modelling, so that the extracted features are more accurate. In the method, a fuzzy C-means (FCM) clustering algorithm is adopted for identifying benign and malignant status of a suspected nodule, and a probability indicating the suspected nodule is benign or malignant is given, so that the method is more accordant with the thinking mode of a doctor.

The invention discloses a telescopic array type portable MIMO-SAR (multiple-input multiple-output synthetic aperture radar) measurement radar system and an imaging method thereof. The system comprises a telescopic MIMO antenna array, a radar transmitting / receiving machine, a control and processing computer, a liftable antenna frame and the like. The system has the advantages in an aspect of meeting field diagnosis and measurement of scattering properties in using and maintenance processes of a low detectable target that firstly, quick detection, positioning and imaging diagnosis of an abnormal scattering part of the low detectable target can be realized, that is, an MIMO-SAR different from a linear guiderail SAR in mechanical scanning imaging can finish high-resolution two-dimensional imaging of a measured target through one-time or two-time 'snapshot' electric scanning imaging; secondly, the requirement on a target test site environment is lowered, that is, guide rails for precision mechanical screening measurement do not need to be mounted in a target test site, so that the requirement on the site test environment in imaging diagnosis and measurement operation processes is greatly lowered; thirdly, the antenna array is telescopic, so that miniaturization, quick unfolding and folding as well as portability of the measurement radar system can be easily realized.

A digital image processing method for exposure adjustment of in vivo images that includes the steps of acquiring in vivo images; detecting any crease feature found in the in vivo images; preserving the detected crease feature; and adjusting exposure of the in vivo images with the detected crease feature preserved.

A system is provided wherein data processing devices are connected to a high-speed picture archiving and communications system (PACS) server network that archives and transmits medical image data. As part of a diagnostic process, medical images are processed at the data processing devices and image processing parameter (IPP) sets are created. The image processing parameters are attached to image diagnosis reports and can be used to recreate the processing of key images that are referenced in the image diagnosis reports. Users of the diagnostic reports can send the IPP sets to the PACS server network to recreate and retrieve key diagnostic images. The image data can be compressed for transmission over low bandwidth networks.

The present invention provides a blood flow image diagnosis device comprising: a laser beam irradiation system that irradiates an observation region of a body tissue with a laser beam; a light receiving system having a light receiver including a large number of pixels that detects reflected light from the observation region of the body tissue; an image capture section that continuously captures a plurality of images for a specified time that is one or more cardiac beats on the basis of a signal from the light receiver; an image storage section that stores the plurality of images; an arithmetic section that calculates a blood flow rate in the body tissue from the time variation of the output signal of each pixel corresponding to the plurality of the stored images; and a display section that displays the two-dimensional distribution of the calculation result as a blood flow map; wherein the blood flow image diagnosis device has a function for analyzing the blood flow map, the arithmetic section has a function that separates a blood flow of a blood vessel observed in a surface layer in the observation region of the body tissue from a peripheral background blood flow on the basis of a plurality of blood flow map data for a time that is one or more cardiac beats, and the display section has a function that distinguishably displays each blood flow on a blood flow map. The blood flow image diagnosis device has an additional function for diagnosing blood flow images as compared to a conventional device.

A breast cancer pathological image diagnosis support system for supporting a diagnosis of breast cancer based on a pathological image is provided. The breast cancer pathological image diagnosis support system includes an image obtaining unit which obtains an HE-stained image and an IHC image as pathological images to be diagnosed; an information obtaining unit which obtains information of a tumor area in the HE-stained image; a matching unit which calculates a matching position of the HE-stained image and the IHC image obtained by the image obtaining unit; a specifying unit which specifies a tumor area in the IHC image based on the information of the tumor area in the HE-stained image obtained by the information obtaining unit and information of the matching position calculated by the matching unit; and a calculating unit which calculates a staining positive cell content rate in the tumor area based on information of the tumor area in the IHC image specified by the specifying unit.

A medical cloud storage system comprises a main cloud server, a plurality of cloudlings and a plurality of inferior hospital servers. The cloud computing technology is applied to the field of a medical image system, and the cloudings which are arranged in a large hosipital can systematically process medical image information. Electronic management is realized for image information collection, data storage, image diagnosis and image printing. For small-sized inferior hospitals which have no collection server, the information calling can be realized through a network, so that doctors of the small-sized inferior hospital can conveniently diagnose a patient, the main cloud server is used for storing the image information of all cloudlings, so that the image information can be called by any hospital which is provided with the cloudling, and the data sharing of the main cloud server, the cloudlings and the inferior hospital servers can be realized.

The invention relates to a therapy system integrating images and radiotherapy. The system comprises a radiotherapy device. The radiotherapy device comprises a radioactive source device and radioactive source supporting device for supporting the radioactive source device. The therapy system integrating images and radiotherapy is characterized by also comprising a magnetic resonance imaging device arranged at one side of the radiotherapy device; the magnetic resonance imaging device comprises two magnets generating even field and a magnetizer for supporting the magnets; and the therapeutic centre of the radiotherapy device is within the even filed zone between the two magnets. The therapy system integrating images and radiotherapy provided by the invention integrates image diagnosis function and radiotherapy function, thus not only can the image of a focus be seen in real time during radiotherapy to realize more accurate therapy positioning, but also the therapy system has simple structure and convenience in installation.

The invention relates to a preparation method for polydopamine-coated polyethyleneimine-stablized gold-nanometer-star photothermal treatment agent. The preparation method comprises the following steps: preparing a gold seed solution from chloroauric acid and sodium citrate; activating mercaptoacetic acid with EDC, then adding an aqueous PEI solution and carrying out a reaction, dialysis, cooling and drying so as to obtain PEI-SH; adding dopamine hydrochloride into a Tris buffer so as to obtain dopamine Tris buffer; adding the gold seed solution into a chloroauric acid solution, adding a AgNO3 solution and an ascorbic acid solution under stirring, adding PEI-SH after stirring reaction and carrying out a reaction so as to obtain AuNSs-PEI; and adding AuNSs-PEI into the dopamine Tris buffer and carrying out stirring and centrifugation so as to obtain the photothermal treatment agent. The preparation method has the advantages of simplicity, mild reaction conditions, easy operation and industrialization prospects; and the prepared star-like nanometer agent has application potential in the fields of CT imaging diagnosis and photothermal treatment of cancers.

The invention discloses a medical image labeling method and device for deep learning, and the method comprises the following steps: carrying out the preprocessing of an inputted image diagnosis report, electronic medical record information and a medical image, and generating data comprising the medical image and the extracted related diagnosis information, wherein the medical image is pre-annotated based on deep learning, the image is segmented based on an image semantic segmentation technology to obtain a boundary range of each lesion area, pixel-level segmentation annotation is performed onthe image, and classification annotation is performed on a disease type to which the image belongs based on an image classification technology in combination with image related diagnosis information;and displaying the pre-annotated image and the related diagnosis information through an interface to receive an interactive instruction for a doctor to finely adjust a pre-annotated image result, andexporting an annotation result. According to the method, the labeling efficiency is improved, and the labeling precision is ensured.

A one frame image of a moving image formed by producing tomographic images of an object to be examined is displayed (S2), a mark is superposed on a designated portion of a tissue the movement of which is tracked in the displayed one frame image (S3), a cutout image of a size including the designated portion is set in the one frame image (S4), local images are searched in another frame images of the moving image and a local image of the identical size which is most coincided with the cutout image is extracted (S5,6), and a coordinate of the designated portion after movement is calculated based on a coordinate difference between the most coincided local image and the cutout image (S7), thereby the movement of tissue is quantitatively measured.

The invention relates to a live body fluorescent endoscopic spectrum imaging device, comprising a light source unit, a light split unit, a scanning light guide unit, a fiber bundle endoscopic unit, an electrooptical signal detection and acquisition unit and a computer, wherein the light source unit consists of a collimating unit and a band filter. The imaging device is characterized in that the light of the collimating unit passes through the band filter and then enters the light split unit, the light split unit is provided with two paths of interfaces, one path of the interfaces of the light split unit is connected with the scanning light guide unit, the scanning light guide unit is connected with the fiber bundle endoscopic unit, and the other path of the interfaces of the light split unit is connected with the electrooptical signal detection and acquisition unit which is connected with the computer. The imaging device has the characteristics that: 1, a Fourier transform spectrometer is used to detect a sample excitation spectrum, and has the advantages of high spectral resolution (1nm), adjustable spectral resolution and the like; and 2, the fluorescent live body endoscopic spectrum imaging system can provide not only imaging diagnosis at tissue level but also spectrum diagnosis at molecular level.

The invention provides a quantitative image evaluation system of breast lesions and an application method thereof. The quantitative image evaluation system adopts fractal technology and graphic analysis in tumor medical image analysis and tumor hazard rate evaluation, establishes and adopts a nonlinear data model for growth and diffusion of breast lesion cells. The nonlinear data model comprises morphological characteristic parameters of growth, diffusion and calcification of mammary tumor cells and clinical parameters as well. The quantitative image evaluation system of breast lesions of the invention adopts the nonlinear data model for growth and diffusion of breast lesion cells and comprises the morphological characteristic parameters of growth, diffusion and calcification of mammary tumor cells and the clinical parameters as well, calculates predictive values of benign and malignant breast lesions by mammography and predictive values of tumor cell classification; therefore, the quantitative image evaluation system can be widely used in mammography diagnosis and mammography screening.

This invention provides a radiographic image processing method of processing a group of radiographs including a moving-state radiographic image consisting of a plurality of radiographs representing a moving state of an object. The method includes specifying a region of interest for a plurality of radiographs included in the group of radiographs, and outputting diagnosis assisting information for assisting in diagnosis based on the group of radiographs, in accordance with the specified region of interest.

In one embodiment, the image diagnosis apparatus (20) generates image data of an object by using external electric power, and includes a charge / discharge element (BA1, . . . BAn) and a charge / discharge control circuit (140, 152). The charge / discharge element is charged with the external electric power and supply a part of the consumed power of the image diagnosis apparatus by discharging. The charge / discharge control circuit controls charge and discharge of the charge / discharge element in such a manner that the charge / discharge element discharges in a period during which the consumed power is larger than a predetermined power amount and the charge / discharge element is charged in a period during which the consumed power is smaller than the predetermined power amount.

Ultrasonograms (105, 106) are created by means of ultrasonic probe (104). Volume image data is created previously by using an image diagnosis apparatus (102) and stored in a volume data storage unit (107). From the stored volume image data, a tomogram corresponding to the scan surface of the ultrasonic images is extracted, and a reference image (111) is formed from the tomogram. The ultrasonograms and the reference image are displayed on the same screen (114). An area of the reference image corresponding to the viewing area of the ultrasonogram is extracted, and a reference image of the same portion as that of the ultrasonic image is displayed as a fan image and / or displayed with the same magnification as that of the ultrasonograms.

The invention discloses a cervical smear image diagnosis system on the basis of convolutional neural networks and transfer learning. The cervical smear image diagnosis system comprises a sample database, a pre-training model, a reconstruction model and a to-be-tested sample acquisition module. The sample database is used for storing training samples; the pre-training model is a convolutional neural network model and comprises a convolutional layer, a pooling layer and a full-connection layer, and training can be carried out by the aid of the training samples in the sample databases, so that multi-classification requirements can be met by the pre-training model; network structures and parameters of the convolutional layer and the pooling layer in the pre-training model can be transferred bythe reconstruction model, the architecture of the full-connection layer can be modified, and accordingly requirements of cervical smear image classification tasks can be met by the reconstruction model; the to-be-tested sample acquisition module is used for acquiring to-be-tested cervical smear image samples, and the to-be-tested cervical smear image samples can be inputted into the reconstruction model, so that corresponding classification results can be obtained. The cervical smear image diagnosis system has the advantages that images with different sizes are allowed to be inputted into thecervical smear image diagnosis system, accordingly, high-performance classification effects can be realized by the cervical smear image diagnosis system, and excellent auxiliary effects can be realized by the cervical smear image diagnosis system for cervical cancer early screening and diagnosis.

An image diagnosis supporting device operates, through digitizing, to apply predetermined image processing to a medical image and to generate a multi-valued image having discrete multiple values. At least one decision making processing routine is then executed on the multi-valued image and / or the medical image; and, from among shadows in the processed image, a focus candidate shadow which is likely to indicate a diseased site is extracted. The extracted focus candidate shadow is then displayed in the medical image so that it is easily identifiable.

The admission of the editing of information on a key image of an object, the type of edit processing, and the contents targeted for edit processing are controlled in accordance with a combination of user information and device information (i.e., a scene where the key image is used).

The invention is applicable to the technical field of medical image processing and provides a medical image data analysis method. The medical image data analysis method includes the steps of acquiring medical image information; classifying the medical image information based on different parts; establishing medical models corresponding to the parts based on the classified medical image information; subjecting the medical models to training processing; storing model parameters. The invention further provides a medical image data analysis system correspondingly. The medical image data analysis method and the medical image data analysis system not only can achieve an image diagnosis function but also can provide later-period scheme recommendations.