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Abstract #2475

Iterative Residual Based Deconvolution Partial Volume Correction for Brain PET- MRI

Chenguang Peng 1 , Huayu Zhang 1 , Jinchao Wu 1 , Xingfeng Shao 1,2 , Yingmao Chen 3 , Quanzheng Li 4 , Georges El Fakhr 4 , and Kui Ying 1

1 Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Department of Engineering, Beijing, China, 2 Department of Bioengineering, UCLA, California, United States, 3 Department of Nuclear Medicine, The general hospital of Chinese People's Liberation, Beijing, China, Beijing, China, 4 Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Harvard Medical School, Boston, United States

With the implement of PET-MRI, simultaneously MRI and PET image acquisition becomes real. Researchers have been wondering how to use high resolution MRI image to improve the PET image quality. In this work, we proposed a iterative residual based deconvolution method using MRI information for PET partial volume effect correction which is one of the major causes for PET low spatial resolution. Proposed method perform well in lesion contrast enhancement without introducing additional noise to image. Both phantom simulation and in-vivo result is shown in this work.

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