Artifact reduction using segmentation constrained RPCA for CT

Y. Kim; D. Choi; S. Lim; S. Cho

doi:10.1117/12.2523642

27 March 2019 Artifact reduction using segmentation constrained RPCA for CT

Y. Kim, D. Choi, S. Lim, S. Cho

Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 110500H (2019) https://doi.org/10.1117/12.2523642
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

In this study, we aim to separate the ghost artifacts from the limited angle CT image by using Robust Principle Component Analysis (RPCA) and thus improve the reconstructed CT images. Conventionally, RPCA method separates the foreground and the background. Often, the background is assumed as static or quasi-static. When applied to limited angle CT images, the artifacts are considered as quasi-static background whereas the anatomical structures are considered foreground. Thus, RPCA is performed to segment the foreground from the background. Finally, different post-reconstruction de-noising parameters are applied to each foreground and background to remove the artifact effectively.

Citation Download Citation

Y. Kim, D. Choi, S. Lim, and S. Cho "Artifact reduction using segmentation constrained RPCA for CT", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110500H (27 March 2019); https://doi.org/10.1117/12.2523642

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