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| Brain functional area automatic extraction method for 99mTc-ECD SPECT imaging |
| GUO Wan-hua1, ZHANG Jian-ge2, JIANG Xu-feng3, SHEN Jing-tao1, JIA Zhi-jun1, XU Shou-lin1, WANG Cheng2 |
| 1.Department of Nuclear Medicine, the Affiliated Drum Tower Hospital of Nanjing University Medical School,Nanjing 210008, China; 2.Department of Biology Medical Engineering, Basic Medical College,Shanghai Jiaotong University, Shanghai 200025, China; 3.Department of Nuclear Medicine, Ruijin Hospital,School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China |
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Abstract Objective: To verify the accuracy of brain anatomic and functional area extraction method for 99mTc-ECD SPECT imaging, and preliminary assess the 99mTc-ECD distribution among the 63 functional areas in the brain. Methods: By image registration and deformation, the 99mTc-ECD SPECT images are mapped into Talairach space, and the individual brain functional area’s coordinates are classified, so that each area average gray scale can be calculated, also the gray scale difference between half brain of left and right is compared. Results: The 99mTc-ECD brain images are successfully registered into the standard Talairach coordinates space, the anatomic and functional areas are extracted, which can be rendered perspectively in the SPECT image template, and the position relation is close to the area drawn by the eye. The uptake of the 99mTc-ECD is asymmetric between the left and the right for most of brain area, and even in the same part of brain, the uptake for this trace is quite different among the fields of brain. The precuneus, lingual gyrus and inferior parietal lobule are ranked the top three according to the 99mTc-ECD distribution, meanwhile the orbital gyrus, corpus callosum and the caudate tail are the least three area for the trace uptake. Conclusion: The brain automatically extract can analyze the brain different area quickly, correctly and repetitively. This method can be used not only to study the individual object, but also fit to statistical analysis for a sample.
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Received: 13 March 2006
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2006, Vol. 17 
