
Proceedings Paper
Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrumFormat | Member Price | Non-Member Price |
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Paper Abstract
Congenital heart disease is the leading cause of birth defect related deaths. The modified myocardial performance index of the right ventricle (R-MPI) is a sensitive and early clinical indicator of fetal cardiac health. Objective repeatable measurement of R-MPI is an important deciding factor for the clinical adaptation of the R-MPI. In this work, we describe a novel method for automatic computation of R-MPI from the Pulsed Wave Doppler (PWD) images. Our method involves a Fourier series based cardiac cycle detection followed by an adaptive windowed energy based valve click localization and weighted gradient based refinement. Using this method, we have been able to measure R-MPI reliably with a mean difference of 0.0075 ± 0.034 from 170 expert annotations on 68 fetal PWD images with an Intra-Class Correlation (ICC) of 0.9380. Furthermore, we have introduced novel methods for normalization and synchronization of PWD images acquired at two different time intervals for the assessment of iso-volume time intervals and an accurate measurement of R-MPI.
Paper Details
Date Published: 13 March 2019
PDF: 8 pages
Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500L (13 March 2019); doi: 10.1117/12.2512402
Published in SPIE Proceedings Vol. 10950:
Medical Imaging 2019: Computer-Aided Diagnosis
Kensaku Mori; Horst K. Hahn, Editor(s)
PDF: 8 pages
Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500L (13 March 2019); doi: 10.1117/12.2512402
Show Author Affiliations
Rahul Suresh, Samsung R&D Institute India - Bangalore (India)
Srinivasan Sivanandan, Samsung R&D Institute India - Bangalore (India)
Nitin Singhal, Samsung R&D Institute India - Bangalore (India)
Srinivasan Sivanandan, Samsung R&D Institute India - Bangalore (India)
Nitin Singhal, Samsung R&D Institute India - Bangalore (India)
JinYong Lee, Samsung Medison - Pangyo (Korea, Republic of)
Mi-Young Lee, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
Hye-Sung Won, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
Mi-Young Lee, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
Hye-Sung Won, Univ. of Ulsan College of Medicine, Asan Medical Ctr. (Korea, Republic of)
Published in SPIE Proceedings Vol. 10950:
Medical Imaging 2019: Computer-Aided Diagnosis
Kensaku Mori; Horst K. Hahn, Editor(s)
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