Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software

To assess the iron overload in human tissue especially in the heart of transfusion-dependent thalassemia patients using cardiac magnetic resonance imaging (CMRI) technique has been widely used to evaluate cardiac iron deposition because of its non-invasive procedure. The iron measure from this techn...

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Main Authors: Ekkarat Boonchieng, Khanita Duangchaemkarn
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/51586
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-515862018-09-04T06:04:46Z Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software Ekkarat Boonchieng Khanita Duangchaemkarn Engineering To assess the iron overload in human tissue especially in the heart of transfusion-dependent thalassemia patients using cardiac magnetic resonance imaging (CMRI) technique has been widely used to evaluate cardiac iron deposition because of its non-invasive procedure. The iron measure from this technique is represent as T2*(T2 Star) value. Cardiac T2*software was developed. The software was measuring T2*value from DICOM image with two algorithm processing components; regions of interest (ROI) identification, and T2*optimization. The software preliminary testing was performed using test cases DICOM image, three times repeating, from both healthy volunteer and thalassemia patient with cardiac iron overload, then compared T2*value with the reference tool (CMRtools with ThalassemiaTools plug-in). Mean T2*value analyzed from healthy volunteer CMRI was 22.36 (±0.94) and 37.10 (±1.62), respectively. While the mean T2*value analyzed from thalassemia patients CMRI was 15.52 (±0.85) and 18.67 (±1.15) in reference software and CMUT2Star software respectively. In conclusion, CMUT2Star produced a higher T2*value than the reference tool. Software has no any errors and no conflict with testing platform. The algorithm in T2*optimization component need to be adjusted in order to produce the accuracy and robust T2*value. ©2012 IEEE. 2018-09-04T06:04:46Z 2018-09-04T06:04:46Z 2012-12-01 Conference Proceeding 2-s2.0-84875085558 10.1109/BMEiCon.2012.6465497 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875085558&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51586
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
spellingShingle Engineering
Ekkarat Boonchieng
Khanita Duangchaemkarn
Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
description To assess the iron overload in human tissue especially in the heart of transfusion-dependent thalassemia patients using cardiac magnetic resonance imaging (CMRI) technique has been widely used to evaluate cardiac iron deposition because of its non-invasive procedure. The iron measure from this technique is represent as T2*(T2 Star) value. Cardiac T2*software was developed. The software was measuring T2*value from DICOM image with two algorithm processing components; regions of interest (ROI) identification, and T2*optimization. The software preliminary testing was performed using test cases DICOM image, three times repeating, from both healthy volunteer and thalassemia patient with cardiac iron overload, then compared T2*value with the reference tool (CMRtools with ThalassemiaTools plug-in). Mean T2*value analyzed from healthy volunteer CMRI was 22.36 (±0.94) and 37.10 (±1.62), respectively. While the mean T2*value analyzed from thalassemia patients CMRI was 15.52 (±0.85) and 18.67 (±1.15) in reference software and CMUT2Star software respectively. In conclusion, CMUT2Star produced a higher T2*value than the reference tool. Software has no any errors and no conflict with testing platform. The algorithm in T2*optimization component need to be adjusted in order to produce the accuracy and robust T2*value. ©2012 IEEE.
format Conference Proceeding
author Ekkarat Boonchieng
Khanita Duangchaemkarn
author_facet Ekkarat Boonchieng
Khanita Duangchaemkarn
author_sort Ekkarat Boonchieng
title Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
title_short Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
title_full Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
title_fullStr Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
title_full_unstemmed Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
title_sort myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875085558&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51586
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