Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1832361 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2006 | 7 Pages |
Abstract
Segmentation of anatomical structures and tumors is an important prerequisite for the interpretation and further quantitative analysis of tomographic images. A method for segmenting regions-of-interest or volumes-of-interest (ROIs or VOIs) from small animal MRI images for functional analysis of co-registered PET images was developed. The method consists of automatic image enhancement, semi-automatic segmentation and a coded contour-based interface to region-based functional analysis software. Two semi-automatic segmentation approaches, a dynamic programming-based and an active contour-based approach, were compared regarding user interaction and segmentation consistency. The results obtained from six MRI data sets of different resolution and image quality show that both semi-automatic approaches are a good choice to deal with different kind of images, image quality and regions.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Instrumentation
Authors
Gudrun Wagenknecht, Hendrik Belitz, Regine Wolff, JoaquÃn Castellanos,