MLEM-based quantitative cone beam X-ray luminescence computed tomography method for adaptive FISTA initial image

The invention discloses an MLEM-based quantitative cone beam X-ray luminescence computed tomography method for an adaptive FISTA initial image, wherein cone-beam X-ray luminescence computed tomography (CB-XLCT) as a novel dual-mode optical molecular imaging technology has a huge application prospect...

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Bibliographic Details
Main Authors LU HONGBING, RUAN JIABIN, HAO WENQING, LIU YANG, LIU TIANSHUAI, RONG JUNYAN
Format Patent
LanguageChinese
English
Published 02.07.2021
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Summary:The invention discloses an MLEM-based quantitative cone beam X-ray luminescence computed tomography method for an adaptive FISTA initial image, wherein cone-beam X-ray luminescence computed tomography (CB-XLCT) as a novel dual-mode optical molecular imaging technology has a huge application prospect in tumor diagnosis and treatment. In order to describe a quantitative relation between PNPs concentration and reconstruction brightness and enable quantitative evaluation to be feasible, the method comprises two main steps that firstly, self-adaptive FISTA automatically adjusts regularization parameters after iteration, and a sparse solution is rapidly obtained; and secondly, the sparse solution is used as the initial iteration value of the MLEM, so that the reconstruction time is reduced, and the precision of the reconstruction value is improved. The results of digital simulation and phantom experiments show that the ADMLEM can describe the quantitative relation between the PNPs concentration and the reconstructi
Bibliography:Application Number: CN202110245502