An Inversion Scheme for Hybrid Fluorescence Molecular Tomography Using a Fuzzy Inference System

IEEE Transactions on Medical Imaging
Pouyan Mohajerani, Vasilis Ntziachristos

Abstract

The imaging performance of fluorescence molecular tomography (FMT) improves when information from the underlying anatomy is incorporated into the inversion scheme, in the form of priors. The requirement for incorporation of priors has recently driven the development of hybrid FMT systems coupled to other modalities, such as X-ray CT and MRI. A critical methodological aspect in this modality relates to the particular method selected to incorporate prior information obtained from the anatomical imaging modality into the FMT inversion. We propose herein a new approach for utilizing prior information, which preferentially minimizes residual errors associated with measurements that better describe the anatomical segments considered. This preferential minimization was realized using a weighted least square (WLS) approach, where the weights were optimized using a Mamdani-type fuzzy inference system. The method of priors introduced herein was deployed as a two-step structured regularization approach and was verified with experimental measurements from phantoms as well as ex vivo and in vivo animal studies. The results demonstrate accurate performance and minimization of reconstruction bias, without requiring user input for setting the ...Continue Reading

References

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Citations

Jun 4, 2019·The Journal of Pharmacology and Experimental Therapeutics·Bagna BaoJeffrey D Peterson
Sep 5, 2018·Visual Computing for Industry, Biomedicine and Art·Yu AnJie Tian
Feb 6, 2018·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Huangjian YiXiaowei He
Nov 22, 2018·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Huangjian YiXiaowei He
Jan 9, 2021·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Xuelei HeJie Tian
Mar 11, 2021·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Wei ZouXinyu Pan

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