NDLI: An image processing approach to compensate for the bladder wall motion and deformation in MR cystography

Content Provider	IEEE Xplore Digital Library
Author	Lin, Q. Liang, Z. Li, H. Jambawalikar, S. Wang, Q. Phillips, B. Waltzer, W. Zawin, M. Harrington, D. He, X.
Copyright Year	2011
Description	Author affiliation: School of Electronics and Information Engineering, Sichuan University, Chengdu, China (He, X.) \|\| Department of Radiology and the BRIC, University of North Carolina at Chapel Hill, 27599, USA (Wang, Q.) \|\| Departments of Radiology, Computer Science and Biomedical Engineering, Stony Brook University, NY 11794, USA (Liang, Z.) \|\| Department of Urology, Stony Brook University, NY 11794, USA (Phillips, B.; Waltzer, W.) \|\| Department of Radiology, Stony Brook University, NY 11794, USA (Lin, Q.; Li, H.; Jambawalikar, S.; Zawin, M.; Harrington, D.)
Abstract	Bladder cancer becomes the 5th leading cancer incidence. Management of bladder tumor is difficult because of its high recurrence rate (as high as 80%) after resection. It causes tremendous suffering and stress to the patient and the family. A non-invasive means of evaluating the entire bladder wall, especially the wall thickness as a biomarker, is clinically desired. MRI can provide such a means because of the intrinsic contrast between the urine and the wall by T and T relaxations. However, an acquisition without signal average (short-time scan) suffers from low signal-to-noise ratio (SNR), while with signal average (long-time scan) introduces motion artifacts because of the bladder wall deformation due to urine inflow, intestines' peristalsis and lung breathing, etc. To enhance the SNR while mitigating the motion artifacts, we proposed an image-processing approach of acquiring repeated short-time scans without signal average and registering the repeated scans prior to average. The effectiveness of the approach depends on the noise level in the short-time scans and the robustness of the registration method. This pre-requisition leads us to investigate adequate pulse sequences for fully 3D data acquisition and registration method. After investigating several potential pulse sequences, we found the THRIVE pulse sequence with TR=6.23ms, TE=3.87ms, sampling size of 208×100, and flip angle of 10 degrees produced adequate tradeoff of noise and contrast in images of 224×224 array with voxel size of 0.9375×0.9375×1.0 $mm^{3}.$ Then a group-wise B-spline based 3D deformable algorithm was developed to register the short-time scans for compensating the bladder wall motion. Results from volunteer and patient studies demonstrated the effectiveness of the presented simple, innovative approach in reducing bladder motion, enhancing the SNR and preserving edge details for imaging the bladder wall and, therefore, facilitating the measure of the wall thickness and detecting bladder wall abnormality.
Starting Page	3061
Ending Page	3065
File Size	1015328
Page Count	5
File Format	PDF
ISBN	9781467301183
ISSN	10823654
e-ISBN	9781467301206
DOI	10.1109/NSSMIC.2011.6152554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Cancer
Content Type	Text
Resource Type	Article

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