Projection-based motion estimation for cardiac functional analysis with high temporal resolution: a proof-of-concept study with digital phantom experiment

Yuki Suzuki; George S. K. Fung; Zeyang Shen; Yoshito Otake; Okkyun Lee; Luisa Ciuffo; Hiroshi Ashikaga; Yoshinobu Sato; Katsuyuki Taguchi

doi:10.1117/12.2254723

9 March 2017 Projection-based motion estimation for cardiac functional analysis with high temporal resolution: a proof-of-concept study with digital phantom experiment

Yuki Suzuki, George S. K. Fung, Zeyang Shen, Yoshito Otake, Okkyun Lee, Luisa Ciuffo, Hiroshi Ashikaga, Yoshinobu Sato, Katsuyuki Taguchi

Author Affiliations +

Proceedings Volume 10132, Medical Imaging 2017: Physics of Medical Imaging; 1013230 (2017) https://doi.org/10.1117/12.2254723
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Cardiac motion (or functional) analysis has shown promise not only for non-invasive diagnosis of cardiovascular diseases but also for prediction of cardiac future events. Current imaging modalities has limitations that could degrade the accuracy of the analysis indices. In this paper, we present a projection-based motion estimation method for x-ray CT that estimates cardiac motion with high spatio-temporal resolution using projection data and a reference 3D volume image. The experiment using a synthesized digital phantom showed promising results for motion analysis.

Citation Download Citation

Yuki Suzuki, George S. K. Fung, Zeyang Shen, Yoshito Otake, Okkyun Lee, Luisa Ciuffo, Hiroshi Ashikaga, Yoshinobu Sato, and Katsuyuki Taguchi "Projection-based motion estimation for cardiac functional analysis with high temporal resolution: a proof-of-concept study with digital phantom experiment", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013230 (9 March 2017); https://doi.org/10.1117/12.2254723

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available