Share Email Print
cover

Proceedings Paper

Machine learning for cardiac ultrasound time series data
Author(s): Baichuan Yuan ; Sathya R. Chitturi; Geoffrey Iyer; Nuoyu Li; Xiaochuan Xu; Ruohan Zhan; Rafael Llerena; Jesse T. Yen; Andrea L. Bertozzi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We consider the problem of identifying frames in a cardiac ultrasound video associated with left ventricular chamber end-systolic (ES, contraction) and end-diastolic (ED, expansion) phases of the cardiac cycle. Our procedure involves a simple application of non-negative matrix factorization (NMF) to a series of frames of a video from a single patient. Rank-2 NMF is performed to compute two end-members. The end members are shown to be close representations of the actual heart morphology at the end of each phase of the heart function. Moreover, the entire time series can be represented as a linear combination of these two end-member states thus providing a very low dimensional representation of the time dynamics of the heart. Unlike previous work, our methods do not require any electrocardiogram (ECG) information in order to select the end-diastolic frame. Results are presented for a data set of 99 patients including both healthy and diseased examples.

Paper Details

Date Published: 13 March 2017
PDF: 8 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372D (13 March 2017); doi: 10.1117/12.2254704
Show Author Affiliations
Baichuan Yuan , Univ. of California, Los Angeles (United States)
Sathya R. Chitturi, Pomona College (United States)
Univ. of California, Los Angeles (United States)
Geoffrey Iyer, Univ. of California, Los Angeles (United States)
Nuoyu Li, Univ. of California, Los Angeles (United States)
Xiaochuan Xu, Jilin Univ. (China)
Univ. of California, Los Angeles (United States)
Ruohan Zhan, Peking Univ. (China)
Univ. of California, Los Angeles (United States)
Rafael Llerena, Univ. of Southern California (United States)
Jesse T. Yen, Univ. of Southern California (United States)
Andrea L. Bertozzi, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

© SPIE. Terms of Use
Back to Top