基于平行光孔和针孔准直器的脑SPECT系统的贝叶斯图像重建算法

黄秋
（上海交通大学生物医学工程学院）
摘要：本文以一种新型的配备针孔准直器的SPECT系统为对象研究了图像重建中的内问题。文章提出了扇形束SPECT投影数据的滤波反投影形式，并给出了截断的反希尔伯特变换对存在内问题的投影数据进行了准确重建。
关键词：医学影像；SPECT；内问题
中图分类号：R319

Interior SPECT Reconstruction Problem - A Prelimilary Study for High Resolution Pinhole Brain Imaging
Huang Qiu
(School of Biomedical Engineering, Shanghai Jiao Tong University)
Foundations: This work was supported by the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP), China, Grant No. 20100073120003.
Brief author introduction:Qiu Huang, Female, Associate Research Professor, Medical Imaging.

Abstract: Kudo et al. presented a unique and stable solution to the interior problem in computed tomography (CT) given tiny a proiri knowledge of the object. In this work we advance their result to the interior reconstruction problem in SPECT where a uniform attenuation map is assumed in brain imaging. In the theory, differentiation followed by backprojection (DBP) of truncated SPECT data is shown to obtain the truncated weighted Hilbert transform. Then with a proiri information on a small part of the region-of-interest (ROI), the other part of the ROI is shown to be available using the projection onto convex sets (PCOS) method.
Key words: interior problem, SPECT, uniform attenuation