The invention provides for a medical instrument (100, 300, 400, 500, 600) comprising a camera system (102, 102′, 102″) for imaging a portion (418) of a subject (108) reposing on a subject support (106). The medical instrument further comprises a display system (104) for rendering a position feedback indicator (130, 900). The display system is configured such that the position feedback indicator is visible to the subject when the subject is reposing on the subject support. The execution of the machine executable instructions (120) causes a processor (114) controlling the medical instrument to: acquire (200) a base position image (122) using the camera system; repeatedly (202) acquire a subsequent image (124) using the camera system; repeatedly (204) calculate an image transformation (126) from voxels of at least a portion of the base position image to voxels of the subsequent image by inputting the base position image and the subsequent image into an image transformation algorithm (128); and repeatedly (206) render a position feedback indicator (130, 900) on the display, wherein the position feedback indicator is controlled by the image transformation.

A movement of an area whose shape changes for each respiration or for each heartbeat is displayed. A diagnosis support program that analyzes images of a human body and displays analysis results, the program causing a computer to execute: processing of acquiring a plurality of frame images from a database that stores the images (S1); processing of specifying a respiratory cycle based on pixels in a specific area in each of the frame images (S2); processing of detecting a lung field based on the specified respiratory cycle (S3); processing of dividing the detected lung field into a plurality of block areas (S4) and calculating a change in image in a block area in each of the frame images (S5); processing of performing a Fourier analysis of a change in image in each block area in each of the frame images (S6); and processing of displaying each image after the Fourier analysis on a display as a pseudo color image (S7).

There is provided a method and apparatus for segmenting two-dimensional images of an anatomical structure. A time sequence of two-dimensional images of the anatomical structure is acquired (202) and a segmentation model for the anatomical structure is acquired (204). The segmentation model comprises a plurality of segments. The acquired segmentation model is applied to the entire time sequence of two-dimensional images of the anatomical structure simultaneously in time and space to segment the time sequence of two-dimensional images by way of the plurality of segments (206).

A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

In a magnetic resonance method and apparatus for determining a characteristic of an organ, a magnetic resonance sequence is executed in order to acquire temporally resolved magnetic resonance data pertaining to the organ. The magnetic resonance sequence includes at least one tagging module, which generates a sub-visual tag of the magnetic resonance data. The characteristic of the organ is determined in a processor using the sub-visual tag.

An image processing device includes an image processing unit that performs image processing on an observed image in which a cell is imaged and an image processing method selector that is configured to determine an observed image processing method for analyzing the imaged cell on the basis of information of a processed image obtained through image processing of the image processing unit.

A method for controlling an evaluation system for medical images of a patient is proposed. Medical images of the patient acquired at different time points are stored in an image database. Upon reception of a user command associated with a time-dependent evaluation command including at least one evaluation parameter describing an evaluation to be performed and identification information describing the patient, medical images of the patient fulfilling a relevancy criterion depending on the evaluation parameter and acquired at different time points are retrieved from the image database. The retrieved images are registered to each other in at least one registration process. Finally, a composite evaluation image data set including a time series of evaluation images is derived from the registered retrieved images and output to the user.

A method and a system for modelling a human heart based on a plurality of emission tomography images representing concentrations of a tracer that has been injected at a specific time is presented. The method comprising: extracting time activity curves of a tracer that has been injected for a plurality of pixels and/or voxels; identifying first-pass peaks of the time activity curves corresponding to an arrival time of the injected tracer at the corresponding pixel/voxel; defining a model comprising at least two portions of the heart; and arranging the at least two portions in relation to each other by comparing the arrival times of the first-pass peaks. The method and model may be used to obtain an estimate of the volume of the left or right atrium of the human heart.

A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.

A method of modeling lungs of a patient includes acquiring computed tomography data of a patient's lungs, storing a software application within a memory associated with a computer, the computer having a processor configured to execute the software application, executing the software application to differentiate tissue located within the patient's lung using the acquired CT data, generate a 3-D model of the patient's lungs based on the acquired CT data and the differentiated tissue, apply a material property to each tissue of the differentiated tissue within the generated 3-D model, generate a mesh of the 3-D model of the patient's lungs, calculate a displacement of the patient's lungs in a collapsed state based on the material property applied to the differentiated tissue and the generated mesh of the generated 3-D model, and display a collapsed lung model of the patient's lungs based on the calculated displacement of the patient's lungs.