摘要:
A system and a method of determining a property of blur in an image are provided. According to other aspects a medical image acquisition apparatus, a medical workstation and a computer program product are provided. The system (100) comprises a receiver (102) for receiving the image of an object-of-interest of a body. The image comprises blur. Further, the system comprises a determining subsystem (122) for determining a value of a characteristic of the blur in the image on individual lines of a plurality of lines intersecting with the object-of-interest at different angles. Thus, the lines extend in different directions. The determination of the value comprises analyzing the image along the respective lines. The system further comprises an obtaining subsystem (126) for obtaining a direction in which the value of the characteristic of the blur is maximal, based on the determined values on the individual lines of the plurality of lines, which lines extend in different directions.
摘要:
An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1 B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.
摘要:
A hot spot detection system for automatically segmenting and quantifying hot spots in functional images includes a segmentation unit (76) to segment an anatomical image representation (72) into regions corresponding to anatomical structures of a subject. A hot spot detection unit (90) detects regions of high uptake from a functional second image representation (74). The regions of high tracer uptake indicate high metabolic activity which maybe caused by potentially hazardous tumor lesions or other malignant processes. However, a number of normally functioning organs uptake high amounts of imaging tracer, particularly FDG. Therefore, a suppression unit (102) suppresses regions of high tracer uptake in the functional second image representation based on the results of a classification unit (101). The classification unit classifies the regions of high tracer uptake according to their position relative to the anatomical structures segmented from the anatomical first image representation. The remaining un-suppressed regions of high uptake are identified by an identification unit (106) as one of potential lesion and non-potential lesion.
摘要:
A method and apparatus for interactively manipulating a shape of an object, comprising selecting an object to be manipulated and rendering the object in dependence of a manipulation type. The method provides a smart object adapted interaction, manipulation and visualization scheme in contrast to previous display driven schemes. The method allows efficient shape manipulation by restricting the degrees of freedom for the manipulation to the meaningful ones for a given object or object part, thus allowing to reduce e.g. a 3D interaction to a 2D interaction.
摘要:
A point-based elastic registration method for registering a first image and a second image. Initially, a single control point is randomly placed (S2) with the source image region and optimal parameter settings in respect thereof are determined (S3) for performing elastic deformation (S4) in respect of the first image so as to optimise a similarity measure. Additional control points are then added (S6) one-by-one, and the elastic deformation process repeated each time (S8) in respect of the new control point set, until a predetermined stopping criterion is met, e.g. the resultant improvement in the similarity measure no longer exceeds some predetermined threshold value. Thus, a high speed, high quality registration method is provided without having to specify the number of control points initially.