Model-based reconstruction algorithm for x-ray induced acoustic tomography

Prabodh K. Pandey; Siqi Wang; Liangzhong Xiang

doi:10.1117/12.2581001

15 February 2021 Model-based reconstruction algorithm for x-ray induced acoustic tomography

Prabodh K. Pandey, Siqi Wang, Liangzhong Xiang

Proceedings Volume 11595, Medical Imaging 2021: Physics of Medical Imaging; 115953V (2021) https://doi.org/10.1117/12.2581001
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

We present a time-domain, model-based scheme for X-ray induced acoustic tomography (XACT). In comparison to the commonly used analytic schemes, the model-based reconstructions exhibit less limited-view and noisy artifacts and enable incorporating detector sizes and sound speed variations. In this paper, we brie y compare the performance of the proposed model-based scheme with the universal back-projection and model back-projection reconstructions obtained for full- and limited view test-cases in spherical detection geometry for noisy acoustic measurements. The algorithm has also been validated for experimental ring-array XACT data.

Conference Presentation

Citation Download Citation

Prabodh K. Pandey, Siqi Wang, and Liangzhong Xiang "Model-based reconstruction algorithm for x-ray induced acoustic tomography", Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 115953V (15 February 2021); https://doi.org/10.1117/12.2581001

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