Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

Bahrami, Naeim; Retson, Tara; Blansit, Kevin; Wang, Kang; Hsiao, Albert

Bahrami, Naeim; Retson, Tara; Blansit, Kevin; Wang, Kang; Hsiao, Albert.

Affiliation

Bahrami N; Department of Radiology, University of California, San Diego, California.
Retson T; Department of Psychiatry, University of California, San Diego, California.
Blansit K; Center for Multimodal Imaging and Genetics, University of California, San Diego, California.
Wang K; Department of Radiology, University of California, San Diego, California.
Hsiao A; Department of Biomedical Informatics, University of California, San Diego, California.

Magn Reson Med ; 81(5): 3283-3291, 2019 05.

Article in En | MEDLINE | ID: mdl-30714197

Subject(s)

Heart/diagnostic imaging; Image Processing, Computer-Assisted/methods; Magnetic Resonance Imaging; Myocardium/pathology; Neural Networks, Computer; Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Child; Contrast Media/administration & dosage; Female; Gadolinium/administration & dosage; Humans; Male; Memory, Short-Term; Middle Aged; Pattern Recognition, Automated; Retrospective Studies; Young Adult

Key words

cardiac magnetic resonance imaging (cMRI); convolutional neural network (CNN); deep learning; inversion recovery time

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Full text: 1 Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Magnetic Resonance Imaging / Neural Networks, Computer / Heart / Myocardium Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Language: En Year: 2019 Type: Article

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