DocumentCode :
3380691
Title :
Myocardial iron measurement in thalassemia using cardiac magnetic resonance image processing software
Author :
Boonchieng, Ekkarat ; Duangchaemkarn, Khanita
Author_Institution :
Dept. of Comput. Sci., Chiang Mai Univ., Chiang Mai, Thailand
fYear :
2012
fDate :
5-7 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
biomedical MRI; cardiology; iron; medical disorders; medical image processing; CMRI technique; DICOM image; T2* measurement; T2* optimization; cardiac MRI processing software; cardiac T2* software; cardiac iron deposition evaluation; cardiac iron overload; iron overload assessment; magnetic resonance imaging; myocardial iron measurement; regions of interest identification; transfusion dependent thalassemia patients; DICOM; Iron; Magnetic resonance imaging; Silicon; Software; Software algorithms; Cardiac T2*; Cardiac image processing; Iron overload; Thalassemia;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2012
Conference_Location :
Ubon Ratchathani
Print_ISBN :
978-1-4673-4890-4
Type :
conf
DOI :
10.1109/BMEiCon.2012.6465497
Filename :
6465497
Link To Document :
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