Affiliations: LMAM, School of Mathematical Sciences, Peking
University, Beijing 100871, China | CT/Micro-CT Laboratory, Department of Radiology,
University of Iowa, Iowa City, IA 52242, USA
Note: [] Corresponding author: Ming Jiang, Ph.D., Professor, Department
of Information Science, School of Mathematics, Peking University, 5 The Summer
Palace Street, Beijing 100871, PRC. Tel.: +86 010 62756797; Fax: +86 010
62751801; E-mail: [email protected]
Abstract: In previous studies, we developed a blind deblurring algorithm based
on the edge-to-noise ratio (ENR) and EM algorithm to improve the quality of
spiral CT images. In this work, we apply the Wiener filter in place of the EM
algorithm to improve the timing performance. The algorithm works well in
patient studies. After fully automatic blind deblurring, the conspicuity of the
submillimeter features of the cochlea image is substantially improved. The new
ENR-Wiener blind deblurring approach significantly improves the computation
speed with comparable image quality in previous studies.
