Native T 1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions | Zendy

Avinash Kali | Zendy; Eui Young Choi | Zendy; Behzad Sharif | Zendy; Young Jin Kim | Zendy; Xiaoming Bi | Zendy; Bruce Spottiswoode | Zendy; Ivan Cokic | Zendy; Hsin Jung Yang | Zendy; Mourad Tighiouart | Zendy; Antonio Hernandez Conte | Zendy; Debiao Li | Zendy; Daniel S. Berman | Zendy; Byoung Wook Choi | Zendy; Hyuk Jae Chang | Zendy; Rohan Dharmakumar | Zendy

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Native T 1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions

Author(s) -

Avinash Kali,

Eui Young Choi,

Behzad Sharif,

Young Jin Kim,

Xiaoming Bi,

Bruce Spottiswoode,

Ivan Cokic,

Hsin Jung Yang,

Mourad Tighiouart,

Antonio Hernandez Conte,

Debiao Li,

Daniel S. Berman,

Byoung Wook Choi,

Hyuk Jae Chang,

Rohan Dharmakumar

Publication year - 2015

Publication title -

jacc. cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.79

H-Index - 120

eISSN - 1936-878X

pISSN - 1876-7591

DOI - 10.1016/j.jcmg.2015.04.018

Subject(s) - medicine , cardiology , myocardial infarction , thresholding , magnetic resonance imaging , st segment , cardiac magnetic resonance , radiology , artificial intelligence , image (mathematics) , computer science

The purpose of this study was to investigate whether native T1 maps at 3-T can reliably characterize chronic myocardial infarctions (MIs) in patients with prior ST-segment elevation myocardial infarction (STEMI) or non-ST-segment elevation myocardial infarction (NSTEMI).

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