skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Dose reconstruction for real-time patient-specific dose estimation in CT

Abstract

Purpose: Many recent computed tomography (CT) dose reduction approaches belong to one of three categories: statistical reconstruction algorithms, efficient x-ray detectors, and optimized CT acquisition schemes with precise control over the x-ray distribution. The latter category could greatly benefit from fast and accurate methods for dose estimation, which would enable real-time patient-specific protocol optimization. Methods: The authors present a new method for volumetrically reconstructing absorbed dose on a per-voxel basis, directly from the actual CT images. The authors’ specific implementation combines a distance-driven pencil-beam approach to model the first-order x-ray interactions with a set of Gaussian convolution kernels to model the higher-order x-ray interactions. The authors performed a number of 3D simulation experiments comparing the proposed method to a Monte Carlo based ground truth. Results: The authors’ results indicate that the proposed approach offers a good trade-off between accuracy and computational efficiency. The images show a good qualitative correspondence to Monte Carlo estimates. Preliminary quantitative results show errors below 10%, except in bone regions, where the authors see a bigger model mismatch. The computational complexity is similar to that of a low-resolution filtered-backprojection algorithm. Conclusions: The authors present a method for analytic dose reconstruction in CT, similar to the techniquesmore » used in radiation therapy planning with megavoltage energies. Future work will include refinements of the proposed method to improve the accuracy as well as a more extensive validation study. The proposed method is not intended to replace methods that track individual x-ray photons, but the authors expect that it may prove useful in applications where real-time patient-specific dose estimation is required.« less

Authors:
;  [1];  [2];  [3];  [4]
  1. Image Reconstruction Laboratory, GE Global Research, Niskayuna, New York 12309 (United States)
  2. X-ray and CT Laboratory, GE Global Research, Shanghai 201203 (China)
  3. Radiation Systems Laboratory, GE Global Research, Niskayuna, New York 12309 (United States)
  4. Divisions of Thoracic and Cardiac Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114 (United States)
Publication Date:
OSTI Identifier:
22413573
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 42; Journal Issue: 5; Other Information: (c) 2015 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ABSORBED RADIATION DOSES; ACCURACY; ALGORITHMS; CAT SCANNING; KERNELS; MONTE CARLO METHOD; OPTIMIZATION; PATIENTS; PLANNING; RADIOTHERAPY; X RADIATION

Citation Formats

De Man, Bruno, E-mail: deman@ge.com, Yin, Zhye, Wu, Mingye, FitzGerald, Paul, and Kalra, Mannudeep. Dose reconstruction for real-time patient-specific dose estimation in CT. United States: N. p., 2015. Web. doi:10.1118/1.4921066.
De Man, Bruno, E-mail: deman@ge.com, Yin, Zhye, Wu, Mingye, FitzGerald, Paul, & Kalra, Mannudeep. Dose reconstruction for real-time patient-specific dose estimation in CT. United States. doi:10.1118/1.4921066.
De Man, Bruno, E-mail: deman@ge.com, Yin, Zhye, Wu, Mingye, FitzGerald, Paul, and Kalra, Mannudeep. Fri . "Dose reconstruction for real-time patient-specific dose estimation in CT". United States. doi:10.1118/1.4921066.
@article{osti_22413573,
title = {Dose reconstruction for real-time patient-specific dose estimation in CT},
author = {De Man, Bruno, E-mail: deman@ge.com and Yin, Zhye and Wu, Mingye and FitzGerald, Paul and Kalra, Mannudeep},
abstractNote = {Purpose: Many recent computed tomography (CT) dose reduction approaches belong to one of three categories: statistical reconstruction algorithms, efficient x-ray detectors, and optimized CT acquisition schemes with precise control over the x-ray distribution. The latter category could greatly benefit from fast and accurate methods for dose estimation, which would enable real-time patient-specific protocol optimization. Methods: The authors present a new method for volumetrically reconstructing absorbed dose on a per-voxel basis, directly from the actual CT images. The authors’ specific implementation combines a distance-driven pencil-beam approach to model the first-order x-ray interactions with a set of Gaussian convolution kernels to model the higher-order x-ray interactions. The authors performed a number of 3D simulation experiments comparing the proposed method to a Monte Carlo based ground truth. Results: The authors’ results indicate that the proposed approach offers a good trade-off between accuracy and computational efficiency. The images show a good qualitative correspondence to Monte Carlo estimates. Preliminary quantitative results show errors below 10%, except in bone regions, where the authors see a bigger model mismatch. The computational complexity is similar to that of a low-resolution filtered-backprojection algorithm. Conclusions: The authors present a method for analytic dose reconstruction in CT, similar to the techniques used in radiation therapy planning with megavoltage energies. Future work will include refinements of the proposed method to improve the accuracy as well as a more extensive validation study. The proposed method is not intended to replace methods that track individual x-ray photons, but the authors expect that it may prove useful in applications where real-time patient-specific dose estimation is required.},
doi = {10.1118/1.4921066},
journal = {Medical Physics},
issn = {0094-2405},
number = 5,
volume = 42,
place = {United States},
year = {2015},
month = {5}
}