Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI
Joint Authors
Cremers, D.
Schlossbauer, T.
Meyer-Baese, Anke
Steinbruecker, F.
Source
Advances in Artificial Neural Systems
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Motion-induced artifacts represent a major problem in detection and diagnosis of breast cancer in dynamic contrast-enhanced magnetic resonance imaging.
The goal of this paper is to evaluate the performance of a new nonrigid motion correction algorithm based on the optical flow method.
For each of the small lesions, we extracted morphological and dynamical features describing both global and local shape, and kinetics behavior.
In this paper, we compare the performance of each extracted feature set under consideration of several 2D or 3D motion compensation parameters for the differential diagnosis of enhancing lesions in breast MRI.
Based on several simulation results, we determined the optimal motion compensation parameters.
Our results have shown that motion compensation can improve the classification results.
The results suggest that the computerized analysis system based on the non-rigid motion compensation technique and spatiotemporal features has the potential to increase the diagnostic accuracy of MRI mammography for small lesions and can be used as a basis for computer-aided diagnosis of breast cancer with MR mammography.
American Psychological Association (APA)
Steinbruecker, F.& Meyer-Baese, Anke& Schlossbauer, T.& Cremers, D.. 2012. Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. Advances in Artificial Neural Systems،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-499755
Modern Language Association (MLA)
Steinbruecker, F.…[et al.]. Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. Advances in Artificial Neural Systems No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-499755
American Medical Association (AMA)
Steinbruecker, F.& Meyer-Baese, Anke& Schlossbauer, T.& Cremers, D.. Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. Advances in Artificial Neural Systems. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-499755
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499755