DocumentCode :
2334299
Title :
Evaluation of reproducibility for manual and semi-automated feature extraction in CT and MR images
Author :
Ashton, Edward A. ; Molinelli, Larry ; Totterman, Saara ; Parker, Kevin J.
Author_Institution :
Dept. of Radiol., Rochester Univ., NY, USA
Volume :
3
fYear :
2002
fDate :
2002
Abstract :
Three methods for extraction and quantitative measurement of features in CT and MR images are examined: hand tracing, semi-automated tracing using the livewire graph search algorithm, and extraction using a geometrically constrained region growth algorithm. Extracted structures are evaluated in terms of volume, cross-sectional area, and major axis in plane. Reproducibility, time required for extraction, and accuracy of each of these metrics is measured for each of the extraction methods using both phantoms and clinical lung tumor data.
Keywords :
biomedical MRI; computerised tomography; feature extraction; image recognition; image segmentation; lung; medical image processing; CT images; MR images; clinical lung tumor data; cross-sectional area; extraction time; geometrically constrained region growth algorithm; hand tracing; livewire graph search algorithm; major axis; manual feature extraction; phantoms; reproducibility; semi-automated feature extraction; semi-automated tracing; volume; Computed tomography; Current measurement; Data mining; Feature extraction; Gray-scale; Information filtering; Information filters; Lesions; Reproducibility of results; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1038930
Filename :
1038930
Link To Document :
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