MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 37941460

Abstract

BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.

Authors

  • Zifeng Lian
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Qiqi Lu
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Bingquan Lin
    Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Lingjian Chen
    Department of Equipment, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
  • Peng Peng
    School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • Yanqiu Feng
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals