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