Automated interventricular septum segmentation for black-blood myocardial T2 measurement in thalassemia
Automated interventricular septum segmentation for black-blood myocardial T2 measurement in thalassemia
复制标题
自动室间隔分割用于地中海贫血黑血心肌 T2 测量
DOI:
10.1002/jmri.24662
复制
发表时间:
2015
影响因子:
4.4
通讯作者:
He Taigang
中科院分区:
文献类型:
--
作者:
Zheng Qian;Feng Yanqiu;Wei Xiaping;Feng meiyan;Chen Wufan;Xu Yikai;Chen Hongwen;He Taigang
PurposeTo develop and validate an automated segmentation method that extracts the interventricular septum (IS) from myocardial black‐blood images for the T2* measurement in thalassemia patients.Materials and MethodsA total of 144 thalassemia major patients (age range, 11–51 years; 73 males) were scanned with a black‐blood multi‐echo gradient‐echo sequence using a 1.5 Tesla Siemens Sonata system (flip angle 20°, sampling bandwidth 810 Hz/pixel, voxel size 1.56 × 1.56 × 10 mm3and variable fields of view (20–30) × 40 cm2depending on patient size). The improved Chan‐Vese model with an automated initialization by the circular Hough transformation was implemented to segment the endocardial and epicardial margins of the left ventricle (LV). Consequently, the IS was extracted by analyzing the anatomical relation between the LV and the blood pool of the right ventricle, identified by intensity thresholding. The proposed automated IS segmentation (AISS) method was compared with the conventional manual method by using the Bland‐Altman analysis and the coefficient of variation (CoV).ResultsThe T2* measurements using the AISS method were in good agreement with those manually measured by experienced observers with a mean difference of 1.71% and a CoV of 4.15% (P< 0.001).ConclusionBlack‐blood myocardial T2* measurement can be fully automated with the proposed AISS method.J. Magn. Reson. Imaging 2015;41:1242–1250.©2014 Wiley Periodicals, Inc.