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Article: State of the Art Application of MRI in Cardiac Diseases
| Title | State of the Art Application of MRI in Cardiac Diseases |
|---|---|
| Authors | |
| Keywords | 4D flow Artificial intelligence Cardiac magnetic resonance Exercise Quantitative perfusion Strain |
| Issue Date | 1-Jan-2024 |
| Publisher | Hong Kong College of Cardiology |
| Citation | Journal of the Hong Kong College of Cardiology, 2024, v. 31, n. 4, p. 60-74 How to Cite? |
| Abstract | Cardiac magnetic resonance (CMR) is now established as an important non-invasive imaging tool in the assessment of cardiovascular disease. Standard CMR protocols are able to perform functional analysis, tissue characterisation and flow/ velocity analyses which will be covered in this review. Furthermore, advances are being made to expand CMR's capabilities in opening new horizons for faster scanning times, improving accuracy of diagnosis and improving prognostic information for patients. These techniques include vascular and intraventricular 4D flow, quantitative stress perfusion, exercise CMR, strain analysis and artificial intelligence. The reader will be provided with a state-of-the-art review on the application of CMR and its future. |
| Persistent Identifier | http://hdl.handle.net/10722/347776 |
| ISSN | 2023 SCImago Journal Rankings: 0.115 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fong, Lucas C.W. | - |
| dc.contributor.author | Ho, Shui-Yan | - |
| dc.contributor.author | Yiu, Kit | - |
| dc.contributor.author | Ng, Ming-Yen | - |
| dc.date.accessioned | 2024-09-28T00:30:29Z | - |
| dc.date.available | 2024-09-28T00:30:29Z | - |
| dc.date.issued | 2024-01-01 | - |
| dc.identifier.citation | Journal of the Hong Kong College of Cardiology, 2024, v. 31, n. 4, p. 60-74 | - |
| dc.identifier.issn | 1027-7811 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/347776 | - |
| dc.description.abstract | Cardiac magnetic resonance (CMR) is now established as an important non-invasive imaging tool in the assessment of cardiovascular disease. Standard CMR protocols are able to perform functional analysis, tissue characterisation and flow/ velocity analyses which will be covered in this review. Furthermore, advances are being made to expand CMR's capabilities in opening new horizons for faster scanning times, improving accuracy of diagnosis and improving prognostic information for patients. These techniques include vascular and intraventricular 4D flow, quantitative stress perfusion, exercise CMR, strain analysis and artificial intelligence. The reader will be provided with a state-of-the-art review on the application of CMR and its future. | - |
| dc.language | eng | - |
| dc.publisher | Hong Kong College of Cardiology | - |
| dc.relation.ispartof | Journal of the Hong Kong College of Cardiology | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | 4D flow | - |
| dc.subject | Artificial intelligence | - |
| dc.subject | Cardiac magnetic resonance | - |
| dc.subject | Exercise | - |
| dc.subject | Quantitative perfusion | - |
| dc.subject | Strain | - |
| dc.title | State of the Art Application of MRI in Cardiac Diseases | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.55503/2790-6744.1536 | - |
| dc.identifier.scopus | eid_2-s2.0-85196898320 | - |
| dc.identifier.volume | 31 | - |
| dc.identifier.issue | 4 | - |
| dc.identifier.spage | 60 | - |
| dc.identifier.epage | 74 | - |
| dc.identifier.issnl | 1027-7811 | - |