Average consistency: a superior way of using the composite image to boost dynamic CT reconstruction

Xi Tao; Yongbo Wang; Zixuan Hong; Shuai Fu; Hua Zhang; Jianhua Ma Sr.

doi:10.1117/12.2549181

16 March 2020 Average consistency: a superior way of using the composite image to boost dynamic CT reconstruction

Xi Tao, Yongbo Wang, Zixuan Hong, Shuai Fu, Hua Zhang, Jianhua Ma Sr.

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113123T (2020) https://doi.org/10.1117/12.2549181
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Dynamic imaging (such as computed tomography (CT) perfusion, dynamic CT angiography, dynamic positron emission tomography, four-dimensional CT, etc.) is widely used in the clinic. The multiple-scan mechanism of dynamic imaging results in greatly increased radiation dose and prolonged acquisition time. To deal with these problems, low-mAs or sparse-view protocols are usually adopted, which lead to noisy or incomplete data for each frame. To obtain high-quality images from the corrupted data, a popular strategy is to incorporate the composite image that reconstructed using the full dataset into the iterative reconstruction procedure. Previous studies have tried to enforce each frame to approach the composite image in each iteration, which, however, introduces mixed temporal information into each frame. In this paper, we propose an average consistency (AC) model for dynamic CT image reconstruction. The core idea of AC is to enforce the average of all frames to approach the composite image in each iteration, which preserves image edges and noise characteristics while avoids the invasion of mixed temporal information. Experiment on a dynamic phantom and a patient for CT perfusion imaging shows that the proposed method obtains the best qualitative and quantitative results. We conclude that the AC model is a general framework and a superior way of using the composite image for dynamic CT reconstruction.

Citation Download Citation

Xi Tao, Yongbo Wang, Zixuan Hong, Shuai Fu, Hua Zhang, and Jianhua Ma Sr. "Average consistency: a superior way of using the composite image to boost dynamic CT reconstruction", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113123T (16 March 2020); https://doi.org/10.1117/12.2549181

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