z-logo
Premium
Automated truncation method for myocardial T2* measurement in thalassemia
Author(s) -
He Taigang,
Zhang Jun,
Carpenter JohnPaul,
Feng Yanqiu,
Smith Gillian C.,
Pennell Dudley J.,
Firmin David N.
Publication year - 2013
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.23780
Subject(s) - reproducibility , truncation (statistics) , thalassemia , computer science , software , population , data mining , nuclear medicine , artificial intelligence , biomedical engineering , pattern recognition (psychology) , medicine , mathematics , statistics , machine learning , programming language , environmental health
Purpose: To propose an automated truncation method for myocardial T2* measurement and evaluate this method on a large population of patients with iron loading in the heart and scanned at multiple magnetic resonance imaging (MRI) centers. Materials and Methods: A total of 550 thalassemia patients were scanned at 20 international centers using a variety of MR scanners (Siemens, Philips, or GE). A single mid‐ventricular short axis slice was imaged. All patient data were anonymized before the T2* were measured by expert observers using standard techniques. These same datasets were then retrospectively processed using the proposed automated truncation method by another independent observer and the resulting T2* measurements were compared with those of expert readings. Results: The T2* measurements using the automated method showed good agreement with those measured by expert observers using standard techniques ( P = 0.95) with a low coefficient of variation (1.6%). Conclusion: This study demonstrates feasibility and good reproducibility of a new automated truncation method for myocardial T2* measurement. This approach simplifies the overall analysis and can be easily incorporated into T2* analysis software to facilitate further development of a fully automated myocardial tissue iron quantification. J. Magn. Reson. Imaging 2013;37:479–483. © 2012 Wiley Periodicals, Inc.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom