MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.
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| Title: | MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia. |
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| Authors: | Lian Z; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China.; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China., Lu Q; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China.; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China., Lin B; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China., Chen L; Department of Equipment, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China., Peng P; Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.; NHC Key Laboratory of Thalassemia Medicine and Guangxi Key Laboratory of Thalassemia Research, Nanning, China., Feng Y; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.; Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China.; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China. |
| Source: | Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Aug; Vol. 60 (2), pp. 651-661. Date of Electronic Publication: 2023 Nov 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1522-2586 |
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| DOI: | 10.1002/jmri.29113 |
