Cardiac magnetic resonance imaging: The future is bright.

Karthik Seetharam; Stamatios Lerakis

doi:10.12688/f1000research.19721.1

Cardiac magnetic resonance imaging: The future is bright.

Karthik Seetharam, Stamatios Lerakis

Research output: Contribution to journal › Review article › peer-review

26 Scopus citations

Abstract

Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.

Original language	English
Article number	1636
Journal	F1000Research
Volume	8
DOIs	https://doi.org/10.12688/f1000research.19721.1
State	Published - 2019

Keywords

Artificial intelligence
Myocardial strain
T1 mapping
T2 mapping

Access to Document

10.12688/f1000research.19721.1

Cite this

@article{25d5e5c70d6a4657be7c3eeff1f14d6d,

title = "Cardiac magnetic resonance imaging: The future is bright.",

abstract = "Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.",

keywords = "Artificial intelligence, Myocardial strain, T1 mapping, T2 mapping",

author = "Karthik Seetharam and Stamatios Lerakis",

note = "Publisher Copyright: {\textcopyright} 2019 Seetharam K and Lerakis S.",

year = "2019",

doi = "10.12688/f1000research.19721.1",

language = "English",

volume = "8",

journal = "F1000Research",

issn = "2046-1402",

publisher = "F1000 Research Ltd",

}

TY - JOUR

T1 - Cardiac magnetic resonance imaging

T2 - The future is bright.

AU - Seetharam, Karthik

AU - Lerakis, Stamatios

PY - 2019

Y1 - 2019

N2 - Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.

AB - Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.

KW - Artificial intelligence

KW - Myocardial strain

KW - T1 mapping

KW - T2 mapping

UR - http://www.scopus.com/inward/record.url?scp=85072556283&partnerID=8YFLogxK

U2 - 10.12688/f1000research.19721.1

DO - 10.12688/f1000research.19721.1

M3 - Review article

C2 - 31543951

AN - SCOPUS:85072556283

SN - 2046-1402

VL - 8

JO - F1000Research

JF - F1000Research

M1 - 1636

ER -

Cardiac magnetic resonance imaging: The future is bright.

Abstract

Keywords

Access to Document

Fingerprint

Cite this