Xuelei He1,2, Hui Meng2, Xiaowei He1, Kun Wang2, Xiaolei Song1, Jie Tian3,4,5,6,7,8. 1. School of Information Sciences and Technology, Northwest University, Xi'an, 710127, China. 2. CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. 3. CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jie.tian@ia.ac.cn. 4. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100190, China. jie.tian@ia.ac.cn. 5. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China. jie.tian@ia.ac.cn. 6. Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, 100191, China. jie.tian@ia.ac.cn. 7. Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710127, China. jie.tian@ia.ac.cn. 8. Zhuhai Precision Medical Center, Zhuhai People's Hospital (affiliated with Jinan University), Zhuhai, 519000, China. jie.tian@ia.ac.cn.
Abstract
PURPOSE: Fluorescence molecular tomography (FMT) is a promising technique for three-dimensional (3D) visualization of biomarkers in small animals. Morphological reconstruction is valuable and necessary for further applications of FMT owing to its innate requirement for knowledge of the molecular probe distributions. PROCEDURES: In this study, a Laplacian manifold regularization joint ℓ1/2-norm model is proposed for morphological reconstruction and solved by a nonconvex algorithm commonly referred to as the half-threshold algorithm. The model is combined with the structural and sparsity priors to achieve the location and structure of the target. In addition, two improvement forms (truncated and hybrid truncated forms) are proposed for better morphological reconstruction. The truncated form is proposed for balancing the sharpness and smoothness of the boundary of reconstruction. A hybrid truncated form is proposed for more structural priors. To evaluate the proposed methods, three simulation studies (morphological, robust, and double target analyses) and an in vivo experiment were performed. RESULTS: The proposed methods demonstrated morphological accuracy, location accuracy, and reconstruction robustness in glioma simulation studies. An in vivo experiment with an orthotopic glioma mouse model confirmed the advantages of the proposed methods. The proposed methods always yielded the best intersection of union (IoU) in simulations and in vivo experiments (mean of 0.80 IoU). CONCLUSIONS: Simulation studies and in vivo experiments demonstrate that the proposed half-threshold hybrid truncated Laplacian algorithm had an improved performance compared with the comparative algorithm in terms of morphology.
PURPOSE: Fluorescence molecular tomography (FMT) is a promising technique for three-dimensional (3D) visualization of biomarkers in small animals. Morphological reconstruction is valuable and necessary for further applications of FMT owing to its innate requirement for knowledge of the molecular probe distributions. PROCEDURES: In this study, a Laplacian manifold regularization joint ℓ1/2-norm model is proposed for morphological reconstruction and solved by a nonconvex algorithm commonly referred to as the half-threshold algorithm. The model is combined with the structural and sparsity priors to achieve the location and structure of the target. In addition, two improvement forms (truncated and hybrid truncated forms) are proposed for better morphological reconstruction. The truncated form is proposed for balancing the sharpness and smoothness of the boundary of reconstruction. A hybrid truncated form is proposed for more structural priors. To evaluate the proposed methods, three simulation studies (morphological, robust, and double target analyses) and an in vivo experiment were performed. RESULTS: The proposed methods demonstrated morphological accuracy, location accuracy, and reconstruction robustness in glioma simulation studies. An in vivo experiment with an orthotopic glioma mouse model confirmed the advantages of the proposed methods. The proposed methods always yielded the best intersection of union (IoU) in simulations and in vivo experiments (mean of 0.80 IoU). CONCLUSIONS: Simulation studies and in vivo experiments demonstrate that the proposed half-threshold hybrid truncated Laplacian algorithm had an improved performance compared with the comparative algorithm in terms of morphology.
Entities:
Keywords:
Fluorescence molecular tomography; In vivo imaging; Laplacian manifold; Morphology; Nonconvex; Reconstruction
Authors: Jürgen K Willmann; Nicholas van Bruggen; Ludger M Dinkelborg; Sanjiv S Gambhir Journal: Nat Rev Drug Discov Date: 2008-07 Impact factor: 84.694
Authors: Gooitzen M van Dam; George Themelis; Lucia M A Crane; Niels J Harlaar; Rick G Pleijhuis; Wendy Kelder; Athanasios Sarantopoulos; Johannes S de Jong; Henriette J G Arts; Ate G J van der Zee; Joost Bart; Philip S Low; Vasilis Ntziachristos Journal: Nat Med Date: 2011-09-18 Impact factor: 53.440
Authors: Dennis Doleschel; Olaf Mundigl; Axel Wessner; Felix Gremse; Julie Bachmann; Agustin Rodriguez; Ursula Klingmüller; Michael Jarsch; Fabian Kiessling; Wiltrud Lederle Journal: J Nucl Med Date: 2012-01-06 Impact factor: 10.057