Sparse view-CT based on photon counting detector using multi-level wavelet-CNN

Minjae Lee; Hyemi Kim; Dohyeon Kim; Hee-Joung Kim

doi:10.1117/12.2549188

16 March 2020 Sparse view-CT based on photon counting detector using multi-level wavelet-CNN

Minjae Lee, Hyemi Kim, Dohyeon Kim, Hee-Joung Kim

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113124S (2020) https://doi.org/10.1117/12.2549188
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Sparse view - computed tomography (CT) for low dose and photon counting detector (PCD) for spectral imaging have been studied for improvement of image quality and quantification in medical imaging. The sparse view–CT can reduce dose, but there is a limitation that cannot be completely restored yet and PCD with physical phenomena such as charge sharing, K-escape and material characteristic can be difficult to material quantification due to different distribution of noise characteristics in a specific energy band. In this study, we propose a deep running-based wavelet-CNN for the efficient reduction of physical factors such as noise and streak artifact generated by fusion of sparse view-CT and PCD. The physical phenomena of the spatio-energetic cross-talks were reflected in PCD. We obtained images with a total of four energy thresholds with limited angles and trained through the proposed method. The proposed method was evaluated for the image quality by the peak signal to noise ratio (PSNR), the normalized mean square error (NMSE), the structural similarity (SSIM), the multi-scale SSIM (MS-SSIM), and the feature similarity (FSIM). The experimental results demonstrated that the sparse view-CT with PCD using proposed deep running structure effectively removes the streak artifacts and improves the image quality.

Citation Download Citation

Minjae Lee, Hyemi Kim, Dohyeon Kim, and Hee-Joung Kim "Sparse view-CT based on photon counting detector using multi-level wavelet-CNN", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113124S (16 March 2020); https://doi.org/10.1117/12.2549188

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