Title :
Positive contrast MRI of prostate brachytherapy seeds by susceptibility mapping
Author :
Ying Dong ; Jim Ji
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
MRI can provide high-resolution images to assist physicians during intraoperative and post-operative phases of prostate brachytherapy. However, the brachytherapy seeds usually show as dark spots, i.e. negative contrast, on the MRI images. In this paper, we propose a new method to generate positive contrast seed images by mapping their susceptibility. The method is based on an improved kernel deconvolution algorithm using l1 regularization. Simulation results show the positive contrast seeds can be identified and differentiated using the proposed method.
Keywords :
biomedical MRI; brachytherapy; deconvolution; medical image processing; MRI images; dark spots; high-resolution images; intraoperative phase; kernel deconvolution algorithm; negative contrast; positive contrast MRI; positive contrast seed images; post-operative phase; prostate brachytherapy seeds; regularization; susceptibility mapping; Brachytherapy; Deconvolution; Kernel; Magnetic resonance imaging; Magnetic susceptibility; Nonhomogeneous media; Algorithms; Brachytherapy; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Prostate; Prostatic Neoplasms;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6345951