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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.
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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  Data: MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.
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  Data: <searchLink fieldCode="AU" term="%22Lian+Z%22">Lian Z</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lu+Q%22">Lu Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lin+B%22">Lin B</searchLink>; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+L%22">Chen L</searchLink>; Department of Equipment, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Peng+P%22">Peng P</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Feng+Y%22">Feng Y</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229105850%22">Journal of magnetic resonance imaging : JMRI</searchLink> [J Magn Reson Imaging] 2024 Aug; Vol. 60 (2), pp. 651-661. <i>Date of Electronic Publication: </i>2023 Nov 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9105850 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-2586 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210531807%22">10531807 </searchLink><i>NLM ISO Abbreviation: </i>J Magn Reson Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1002/jmri.29113
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        Text: English
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        StartPage: 651
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      – TitleFull: MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.
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            – D: 01
              M: 08
              Text: 2024 Aug
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              Y: 2024
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