Abstract:
In a methods and apparatus for generating an image for display from medical image data of a subject, image data is processed to reconstruct a pre-image data set, and a filter applied to the pre-image data set to produce a filtered image for display, while a value of a variable is obtained from the pre-image data set, for display with the filtered image. The value obtained from the pre-image data can be used for quantification of a feature of the medical image data.
Abstract:
In a method and apparatus for identifying regions of interest in medical images of a subject, in particular images captured by a medical imaging apparatus, such as a PET scanner, a list of voxels of the image is obtained, and sorted according to a first variable. A user-selection of an initial voxel in the image is then registered, and at least one voxel or group of voxels from the sorted list is selected as a region of interest, according to a property of the at least one voxel or group in relation to the user-selected initial voxel. The image may be pre-processed to generate the sorted list of voxels, following which the user selection of the initial voxel is registered.
Abstract:
The invention encompasses a method of preparing data for transmission, which method comprises: multiplexing data from a plurality of sources (S1, . . . Si, . . . Sn), the multiplexing comprising, for at least one source (Si), classifying the data from the source (Si) into two or more classes (C1,f.Cj, . . . Cm) according to the data's priority, and mapping data from the sources into positions in a data structure (D) according both to the class (Cj) of the data and to a further priority assigned to the source (Si) from which the data originated, the division of data into classes (C1, . . . Cj, . . . Cm) and/or the prioritization of the sources (S1, . . . Si, . . . Sn) being done according to the potential impact of transmission errors on the data; and sub-dividing the data in the data structure (D) into frames while preserving the relative prioritization of the data. The sources may be various multi-media sources. Also disclosed are a method of forward error correction (FEC) encoding the multiplexed data for transmission while maintaining the data's relative prioritization, and a method for decoding and de-multiplexing data. Apparatus for implementing these methods is also disclosed.
Abstract:
A Computer Aided Diagnosis, CADx, system (200) is described that comprises: at least one input (210, 212, 214) configured to provide at least one input medical image; and a CADx processing engine (220) configured to receive and process the at least one input medical image and produce at least one CADx score. A CADx score mapping circuit is operably coupled to the CADx processing engine (220) and configured to: map the at least one CADx score to a risk adjusted virtual score; and generate an output (235) of at least the risk adjusted virtual score associated with the processed at least one input medical image. The at least one CADx score and the risk adjusted virtual score correspond to an equivalent risk of condition or disease associated with a patient.
Abstract:
In a method and apparatus for analyzing medical imaging data of a subject from an imaging modality using a tracer, data from detection of tracer emission events at least one region of a scanned imaging volume are obtained, and the data processed to establish sub-periods or time points within a scan period for the emission events. A rate of change of emission events per unit time for a given region is then calculated, for example by obtaining a number of emission events in each sub-period in the given region, and fitting a line through the values for the sub-periods.
Abstract:
In a method and apparatus for analyzing and correcting medical imaging data of a subject, an image data set is obtained from a scan of the subject at a first time point with respect to a defined time origin. A measurement of a time-dependent variable is then determined for the data set, and an estimated value for the time-dependent variable at an estimate time point is extrapolated from the data set.
Abstract:
A method, medical imaging workstation (300) and a hybrid medical imaging scanner (400) are provided for the analysis of images obtained during medical scans. The extent of a first region of interest (ROI-1) in a first scan image (120) is defined. A second region (ROI-2), in a second scan image (130), is identified. The second region (ROI-2) in the second scan image (130) corresponds to the first region of interest (ROI-1) in the first scan image. Each of the spatial locations of the second region (ROI-2) is classified, in order to identify the spatial locations of the second region (ROI-2) that comprise at least one tissue type. The invention may improve the recognition of lesions in medical scan images, and may reduce the incidence of false positives.
Abstract:
A method and system are provided for creating and simultaneously displaying medical scan images, from each of first (780) and second (530) medical scan datasets, obtained by scanning a 3-dimensional (3-D) object with different scanning modalities. A first image (410) is derived from the first (780) dataset, the first image (410) lying in a first plane corresponding to an acquisition plane of the first (780) dataset. A second image (420) is obtained from the second dataset (530), the second image also lying in the first plane. The second image may be obtained by re-slicing the second data set. One or both medical scan datasets may be multivolume datasets. The invention may improve viewing resolution and/or speed, when viewing a multi-series MRI scan together with a CT and/or a PET scan.
Abstract:
A method of measuring a structure (510) on a medical image (400) is provided, the structure (510) having a perimeter. A bidirectional measurement object (550) is displayed on the medical image, the bidirectional measurement object (550) comprising a first portion (A) and a second portion (B). The first portion (A) and the second portion (B) cross each other, comprise perpendicular straight lines, and re moveable, relative to each other. The first (A) and second (B) portions may be aligned with the long and sort axes of a tumour, and the lengths of those axes then measured and displayed.
Abstract:
In a method and apparatus for analyzing and correcting medical imaging data of a subject, an image data set is obtained from a scan of the subject at a first time point with respect to a defined time origin. A measurement of a time-dependent variable is then determined for the data set, and an estimated value for the time-dependent variable at an estimate time point is extrapolated from the data set.