NDLI: Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis

Content Provider	IEEE Xplore Digital Library
Author	Jacobs, M. Gorbachev, M. Benovoy, M. Lin-Ching Chang Arai, A.E. Li-Yueh Hsu
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA (Lin-Ching Chang) \|\| Nat. Heart Lung & Blood Inst., Nat. Inst. of Health, Bethesda, MD, USA (Jacobs, M.; Gorbachev, M.; Benovoy, M.; Arai, A.E.; Li-Yueh Hsu)
Abstract	Quantitative assessment of first-pass cardiac magnetic resonance (CMR) perfusion imaging is useful for detecting coronary artery disease, but it requires the measurement of the arterial input function (AIF) from the left ventricle. This is usually done manually, which is time consuming and subjective. This study presents an automated method for measuring the AIF from the first-pass CMR perfusion images. It was tested on 194 clinical perfusion studies and compared with manual reference measurements. Our results show the proposed method successfully measured 98.79% of the perfusion series, with manual and automated measurements strongly correlating. Temporal statistics were similar for both measurements, showing agreement between the automated and manual AIFs. The automated method, however, more accurately selected the brightest left ventricle pixels and excluded papillary muscles. These improvements may help make AIF measurement and quantitative CMR myocardial perfusion analysis more accurate and readily available.
Starting Page	1332
Ending Page	1335
File Size	478925
Page Count	4
File Format	PDF
ISBN	9781479923748
DOI	10.1109/ISBI.2015.7164121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Myocardium Manuals Imaging Standards Magnetic resonance Silicon Image resolution arterial input function cardiovascular magnetic resonance myocardial perfusion imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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