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Title: Technical Note: Iterative megavoltage CT ( MVCT ) reconstruction using block‐matching 3D‐transform ( BM 3D) regularization

Journal Article · · Medical Physics
DOI:https://doi.org/10.1002/mp.12916· OSTI ID:1435395
 [1];  [2];  [3];  [2];  [1];  [2];  [1]
  1. Department of Radiation Oncology University of California Los Angeles Los Angeles CA USA
  2. Sir Run Run Shaw Hospital Zhejiang University School of Medicine Institute of Translational Medicine Zhejiang University Hangzhou China
  3. Department of Radiation Oncology Duke University Medical Center Durham NC USA
+ Show Author Affiliations

Purpose Megavoltage CT ( MVCT ) images are noisier than kilovoltage CT ( KVCT ) due to low detector efficiency to high‐energy x rays. Conventional denoising methods compromise edge resolution and low‐contrast object visibility. In this work, we incorporated block‐matching 3D‐transform shrinkage ( BM 3D) transformation into MVCT iterative reconstruction as nonlocal patch‐wise regularization. Methods The iterative reconstruction was achieved by adding to the existing least square data fidelity objective a regularization term, formulated as the L1 norm of the BM 3D transformed image. A Fast Iterative Shrinkage‐Thresholding Algorithm ( FISTA ) was adopted to accelerate CT reconstruction. The proposed method was compared against total variation ( TV ) regularization, BM 3D postprocess method, and filtered back projection ( FBP ). Results In the Catphan phantom study, BM 3D regularization better enhances low‐contrast objects compared with TV regularization and BM 3D postprocess method at the same noise level. The spatial resolution using BM 3D regularization is 2.79 and 2.55 times higher than that using the TV regularization at 50% of the modulation transfer function ( MTF ) magnitude, for the fully sampled reconstruction and down‐sampled reconstruction, respectively. The BM 3D regularization images show better bony details and low‐contrast soft tissues, on the head and neck (H&N) and prostate patient images. Conclusions The proposed iterative BM 3D regularization CT reconstruction method takes advantage of both the BM 3D denoising capability and iterative reconstruction data fidelity consistency. This novel approach is superior to TV regularized iterative reconstruction or BM 3D postprocess for improving noisy MVCT image quality.

Sponsoring Organization:
USDOE
Grant/Contract Number:
DE‐SC0017057; DE‐SC0017687
OSTI ID:
1435395
Journal Information:
Medical Physics, Journal Name: Medical Physics Vol. 45 Journal Issue: 6; ISSN 0094-2405
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 8 works
Citation information provided by
Web of Science

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