A time-series morphology index and a time-series shape deformation index of the analysis target region on a time-series medical image are calculated by image processing. A dynamical model of a structural fluid analysis of the analysis target region is temporarily structured, based on the time-series morphology index, the time-series shape deformation index, and the time-series medical image. A latent variable of the identification region is identified so that at least one of a prediction value of a blood vessel morphology index and a blood flow volume index based on the temporarily structured dynamical model match with at least one of an observation value of the blood vessel morphology index and the blood flow volume index measured.

A system and for determining the presence or absence of myocardial ischemia in a subject, based upon analysis of medical images of at least one region of the heart of a subject of interest, the plurality of medical images being acquired in a consecutive manner by a medical imaging modality and being a plurality of myocardial layers in a direction which is generally perpendicular to the wall of the left ventricular myocardium.

Provided is a technique capable of calculating a three-dimensional position of a treatment tool only by processing an X-ray image without using an external signal of a body movement monitor or the like and capable of eliminating an influence of body movement. A plurality of combinations of a plurality of X-ray images from a plurality of X-ray images acquired at different angles or times are used to obtain a parameter serving as an index of calculation accuracy of a three-dimensional position of a treatment tool for each combination and to calculate the three-dimensional position of the treatment tool based on a combination of X-ray images serving as a parameter having the highest accuracy.

A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.

In an ultrasound diagnosis apparatus according to an embodiment, processing circuitry obtains volume data corresponding to at least one cardiac cycle and being taken of a region including the right ventricle of a patient. The processing circuitry estimates motion information of a tissue in the region by using the volume data. The processing circuitry calculates information including at least one selected from between wall motion information and volume information related to the right ventricle, on the basis of the motion information of the tissue. The processing circuitry outputs the calculated information. The processing circuitry corrects first motion information of the right ventricular outflow tract, which is an outflow tract of the right ventricle, by using second motion information of a site that is positioned in the vicinity of the right ventricular outflow tract and exhibits motion similar to that of the right ventricular outflow tract.

In order to improve the noise suppression in a video image stream 3 of a medical image recording system, the video image stream including a sequence of frames, it is provided that an image processing unit 5 of the image recording system analyses the video image stream 3 continuously in real time and determines at least one variability between successive image pixels of the frames, for example of spatially adjacent image pixels of frames and/or of image pixels of a plurality of the frames corresponding to one another spatially and temporally, in order, on the basis of the variability determined, to set at least one parameter of a noise suppression subsequently applied to the video image stream 3. As a result, the noise suppression can be adapted continuously to a current recording situation.

A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.

A method and computer-based system is provided that assists physicians in detecting early tumor growth and allowing modification of treatment to have a positive impact on medical management, patient morbidity, outcomes and survival times. The method comprises measuring tumor volumes from radiological images to predict growth by a statistical method. The methods allow detection of increases in tumor size earlier than is currently possible and, therefore, advantageous in modifying or optimizing treatment.

The disclosure relates to a method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from one of a plurality of an existing angiographic images and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. In some embodiments, a viewing angle cost function is determined that defines one or more optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among the plurality of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.

A method for visualizing sub-pleural regions of an anatomical structure of interest from a set of volumetric data includes receiving the set of volumetric data representative of the anatomical structure. The anatomical structure can comprise an outer surface and a plurality of sub-pleural regions with each of the plurality of sub-pleural regions being a region of the anatomical structure which is distant from the outer surface by a corresponding sub-pleural depth. The method further includes determine a first sub-pleural region of the anatomical structure of interest and extracting, from the set of volumetric data, the portions of volumetric data representative of the first sub-pleural region. The method also includes rendering a display image based upon the first sub-pleural region and the extracted volumetric data.