A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126), and a reference location (128), and a processor (120) configured to the biophysical simulator and simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by the reference location. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the processor to simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location. A method including simulating a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location.

The present disclosure relates to a method for use in adaptive radiotherapy and a treatment planning device. The method may comprise accessing a first medical image and a second medical image that represent a region of interest of a patient at different times. Each medical image is segmented into a target region and at least one non-target region. The method may further comprise accessing a deformation vector field including a plurality of vectors, wherein each vector defines a geometric transformation to map a respective voxel in the first medical image to a corresponding voxel in the second medical image. The method may further comprise generating a modified deformation vector field by: identifying a first vector in the deformation vector field that maps a voxel in the first medical image to a voxel that is in a non-target region in the second medical image; and determining whether the first vector causes a distance between the mapped voxel and the target region to increase and, if so, reducing the magnitude of the first vector. The method may further comprise post-processing the modified deformation vector field to compensate for changes in the shape or size of the target region.

An analysis device includes: a cell image acquisition unit that acquires a plurality of cell images in which a stimulated cell has been captured; a feature value calculation unit that calculates a feature value for each of first and second constituent elements constituting the cell, from the cell images acquired by the cell image acquisition unit; a correlation calculation unit that calculates correlations between first feature values and between second feature values in the first and second constituent elements calculated by the feature value calculation unit; a correlation extraction unit that extracts the correlation between the first feature values by selecting the first feature values with respect to the correlations between the feature values in the first and second constituent elements calculated by the correlation calculation unit; and a display unit that displays the correlation between the first feature values extracted by the correlation extraction unit.

The present invention is to provide a computer system, a method, and a program for diagnosing a subject that improve the accuracy of diagnosis by combining a plurality of time-series image data more than that by a conventional single image analysis. The computer system for diagnosing a subject acquires a plurality of first subject images with time series variation of the subject, analyzes the acquired first subject images, acquires a plurality of second subject images with time series variation of another subject in the past, analyzes the acquired second subject images, checks the analysis result of the first subject images and the analysis result of the second subject images, and diagnoses the subject based on the check result.

A method is disclosed for providing a virtual tomographic stroke follow-up examination image. In an embodiment, the method includes: receiving a sequence of temporally successive tomographic perfusion imaging data sets of a region for examination; calculating the virtual tomographic stroke follow-up examination image of the region for examination by applying a trained machine learning algorithm to the sequence of temporally successive tomographic perfusion imaging data sets received; and providing the virtual tomographic stroke follow-up examination image calculated.

A non-transitory computer-readable recording medium stores therein an examination assisting program that causes a computer to execute a process including: performing a site detecting process that uses an object detection technique on each of a plurality of ultrasound examination images taken of an examined subject by performing a scan on the examined subject; and displaying a site detection map in which a detection result of each of a plurality of sites included in the examined subject is kept in correspondence with the scan, on a basis of detection results from the site detecting process.

A non-transitory computer-readable recording medium storing therein an anomalousness determination program that causes a computer to execute a process includes: sensing a region in an object in each of a plurality of ultrasound examination images using an object sensing technique; based on a result of the sensing and a structure of the object, acquiring a result of sensing each of a plurality of regions in the object in each of the ultrasound examination images; and determining anomalousness in the object based on the result of sensing each of the regions in the ultrasound examination images.

A computing device includes a communication interface, a memory, and processing circuitry. The processing circuitry is coupled to the communication interface and to the memory and is configured to execute the operational instructions to perform various functions. The computing device is configured to process a video frame of a video segment on a per-frame basis and based on joint human-object interactive activity (HOIA) to generate a per-frame pairwise human-object interactive (HOI) feature based on a plurality of candidate HOI pairs. The computing device is also configured to process the per-frame pairwise HOI feature to identify a valid HOI pair among the plurality of candidate HOI pairs and to track the valid HOI pair through subsequent frames of the video segment to generate a contextual spatial-temporal feature for the valid HOI pair to be used in activity detection.

A method of determining volumetric data of a predetermined anatomical feature is described. The method comprising determining volumetric data of one or more anatomical features present in a field of view of a depth sensing camera apparatus, identifying a predetermined anatomical feature as being present in the field of view of the depth sensing camera apparatus, associating the volumetric data of one of the one or more anatomical features with the identified predetermined anatomical feature, and outputting the volumetric data of the predetermined anatomical feature. An apparatus is also described.

A system and method are provided for determining one or more characteristics of a device. The system and method comprises initiating an algorithm to correct for shift and drift of a reference catheter (203), determining an initial shape and position of a portion of the reference catheter at time 0 when the algorithm is initiated (201), determining a current shape and position of the portion of the reference catheter at time t after the algorithm has been initiated (205), calculating a closest fit of the current shape and position of the portion of the reference catheter to the initial shape and position of the portion of the reference catheter by iteratively adjusting a set of solution parameters (209), and determining a minimal error solution parameter (211).