BROWSE

Related Scientist

Researcher

뇌과학이미징연구단
뇌과학 이미징 연구단
more info

Model-based Chemical Exchange Saturation Transfer MRI for Robust z-Spectrum Analysis

Cited 0 time in webofscience Cited 0 time in scopus
21 Viewed 7 Downloaded
Title
Model-based Chemical Exchange Saturation Transfer MRI for Robust z-Spectrum Analysis
Author(s)
Hoonjae Lee; Julius Juhyun Chung; Joonyeol Lee; Seong-Gi Kim; Jae-Ho Han; Jaeseok Park
Publication Date
2020-02
Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.2, pp.283 - 293
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
This work introduces a novel, model-based chemical exchange saturation transfer (CEST) MRI, in which asymmetric spectra of interest are directly estimated from complete or incomplete measurements by incorporating subspace-based spectral signal decomposition into the measurement model of CEST MRI for robust z-spectrum analysis. Spectral signals are decomposed into symmetric and asymmetric components. The symmetric component, which varies smoothly, is delineated by linear superposition of a finite set of vectors in a basis trained from simulated (Lorentzian) signal vectors augmented with datadriven signal vectors, while the asymmetric component is to be inherently lower than or equal to zero due to saturation transfer phenomena. Spectral decomposition is performed directly on measured spectral data by solving a constrained optimization problem that employs the linearized spectral decomposition model for the symmetric component and the weighted Frobenius norm regularization for the asymmetric component while utilizing additional spatial sparsity and low rank priors. Simulations and in vivo experiments were performed to demonstrate the feasibility of the proposed method as a reliable molecular MRI. (c) 2018 IEEE.
URI
https://pr.ibs.re.kr/handle/8788114/6992
ISSN
0278-0062
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > Journal Papers (저널논문)
Files in This Item:
20 김성기_Model-based Chemical Exchange Saturation.pdfDownload

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse