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Proceedings Paper

Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images
Author(s): Xiaofeng Yang; Pegah Ghafourian; Puneet Sharma; Khalil Salman; Diego Martin; Baowei Fei
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Paper Abstract

We have applied image analysis methods in the assessment of human kidney perfusion based on 3D dynamic contrast-enhanced (DCE) MRI data. This approach consists of 3D non-rigid image registration of the kidneys and fuzzy C-mean classification of kidney tissues. The proposed registration method reduced motion artifacts in the dynamic images and improved the analysis of kidney compartments (cortex, medulla, and cavities). The dynamic intensity curves show the successive transition of the contrast agent through kidney compartments. The proposed method for motion correction and kidney compartment classification may be used to improve the validity and usefulness of further model-based pharmacokinetic analysis of kidney function.

Paper Details

Date Published: 14 February 2012
PDF: 8 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140B (14 February 2012); doi: 10.1117/12.912190
Show Author Affiliations
Xiaofeng Yang, Emory Univ. (United States)
Pegah Ghafourian, Emory Univ. (United States)
Puneet Sharma, Emory Univ. (United States)
Khalil Salman, Emory Univ. (United States)
Diego Martin, Emory Univ. (United States)
Baowei Fei, Winship Cancer Institute of Emory Univ. (United States)
Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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