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Functional evaluation using multistep registration with standard magnetic resonance and ADAM brain images

Huang, Chung-Ia; Sun, Yung-Niena; Yao, Wei-Jenb

Nuclear Medicine Communications: July 2011 - Volume 32 - Issue 7 - p 635–640
doi: 10.1097/MNM.0b013e32834642a2
ORIGINAL ARTICLES
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Objective Image analysis of 123I ADAM single photon emission computed tomography is used to evaluate the functional activities in apparatus or in the brain regions. We have earlier proposed a two-step registration method for registering intrasubject long-time 2-[(2-((dimethyl-amino) methyl)phenyl)thio]-5-iodophenylamine (ADAM) images. However, this method requires acquisition of individual MRI, 10-min ADAM, and 6-h ADAM images.

Methods In this study, we propose using standard (std) brains to replace the individual MRI and 10-min ADAM images. We first use the MRIstd instead of the individual MRI. We then use the 10-min ADAMstd to replace the individual 10-min ADAM image.

Results The results produced using the MRIstd method are close to the original two-step registration method (specific/nonspecific binding ratio, 4.211 vs. 4.326, P=0.055); and the 10 min ADAMstd method is close to the MRIstd method (specific/nonspecific binding ratio, 4.095 vs. 4.211, P=0.070).

Conclusion The proposed 10-min ADAMstd method yields acceptable quantitative measurements and significantly reduces patient loading by eliminating the additional individual MRI and 10-min ADAM imaging. More important, the interobserver problem can be solved because the area of interest (AOI) is drawn on the MRIstd once; the AOI drawn on the MRIstd can be mapped onto the registered 10-min ADAMstd, and the individual 6 h ADAM image can then be automatically evaluated with the AOI on the 10-min ADAMstd after the proposed registration. Thus, the examination of 123I ADAM thus becomes less expensive, more convenient, and useful for clinical applications.

aDepartment of Computer Science and Information Engineering

bDepartment of Nuclear Medicine, University Hospital, National Cheng Kung University, Tainan, Taiwan

Correspondence to Yung-Nien Sun, PhD, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan Tel: +886 6 275 7575 x62526; fax: +886 6 274 7076; e-mail: ynsun@mail.ncku.edu.tw

Received November 22, 2010

Accepted February 28, 2011

© 2011 Lippincott Williams & Wilkins, Inc.