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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