Motion compensation for the estimation of high-resolution blood flow in ultrafast ultrasound imaging

V. Pustovalov; D. H. Pham; J. P. Remenieras; D. Kouamé

doi:10.1117/12.2607057

4 April 2022 Motion compensation for the estimation of high-resolution blood flow in ultrafast ultrasound imaging

V. Pustovalov, D. H. Pham, J. P. Remenieras, D. Kouamé

Proceedings Volume 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; 120380D (2022) https://doi.org/10.1117/12.2607057
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

In this paper, we address the problem of tissue motion compensation in blood flow estimation from ultrafast Doppler sequences. The goal is to improve the estimation of tumors blood flow, offering neurosurgeons better visualization of this flow and thereby leading them to make better decisions while performing brain surgery. This can be achieved by solving the problem of separation of blood flow and tissue in ultrasound images. To solve this problem, we focus on a recently developed variant of the Robust Principal Component Analysis (RPCA)- based method by embedding a deconvolution step into the algorithm in order to improve the resolution of the reconstructed blood flow. However, this approach is prone to failure in the presence of tissue motion. In this work, we propose to overcome this limitation by incorporating a motion compensation step into the above RPCA-based method. We implement and quantitatively compare motion compensation algorithms based on the Lucas-Kanade and Demon registration methods on simulation data. We show, using both simulation and preliminary in-vivo data, that a motion compensation step allows to improve the perception of thin vascular vessels and to reduce the amount of noise on the estimated flow.

Conference Presentation

Citation Download Citation

V. Pustovalov, D. H. Pham, J. P. Remenieras, and D. Kouamé "Motion compensation for the estimation of high-resolution blood flow in ultrafast ultrasound imaging", Proc. SPIE 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, 120380D (4 April 2022); https://doi.org/10.1117/12.2607057

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