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Extracting respiratory motion from 4D MRI using organ-wise registration

Abd Rahni, AA, Smith, R, Lewis, E and Wells, K (2013) Extracting respiratory motion from 4D MRI using organ-wise registration Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 8669.

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Abstract

Nuclear Medicine (NM) imaging serves as a powerful diagnostic tool for imaging of biochemical and physiological processes in vivo. The degradation in spatial image resolution caused by the often irregular respiratory motion must be corrected to achieve high resolution imaging. In order perform motion correction more accurately, it is proposed that patient motion obtained from 4D MRI can be used to analyse respiratory motion. To extract motion from the dynamic MRI dataset an organ wise intensity based affine registration framework is proposed and evaluated. Comparison of the resultant motion obtained within selected organs is made against an open source free form deformation algorithm. For validation, the correlation of the results of both techniques to a previous study of motion in 20 patients is found. Organwise affine registration correlates very well (r = 0:9) with a previous study (Segars et al., 2007)1 whilst free form deformation shows little correlation (r = 0:3). This increases the confidence of the organ wise affine registration framework being an effective tool to extract motion from dynamic anatomical datasets. © 2013 SPIE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Abd Rahni, AAUNSPECIFIEDUNSPECIFIED
Smith, RUNSPECIFIEDUNSPECIFIED
Lewis, EUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Date : 2013
Identification Number : 10.1117/12.2006861
Additional Information : Copyright 2013 Proc. SPIE 8669, Medical Imaging 2013: Image Processing One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Ashrani Aizzuddin Abd. Rahni, Rhodri Smith, Emma Lewis, Kevin Wells, "Extracting respiratory motion from 4D MRI using organ-wise registration", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866930 (2013); doi:10.1117/12.2006861
Depositing User : Symplectic Elements
Date Deposited : 23 Jan 2014 15:26
Last Modified : 26 Sep 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/804794

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