Literature DB >> 36096129

Small animal photon counting cone-beam CT on a preclinical radiation research platform to improve radiation dose calculation accuracy.

Xiaoyu Hu1, Yuncheng Zhong1, Youfang Lai1, Chenyang Shen1, Kai Yang2, Xun Jia1.   

Abstract

Objective.Cone beam CT (CBCT) in preclinical small animal irradiation platforms provides essential information for image guidance and radiation dose calculation for experiment planning. This project developed a photon-counting detector (PCD)-based multi(3)-energy (ME-)CBCT on a small animal irradiator to improve the accuracy of material differentiation and hence dose calculation, and compared to conventional flat panel detector (FPD)-based CBCT.Approach.We constructed a mechanical structure to mount a PCD to an existing preclinical irradiator platform and built a data acquisition pipeline to acquire x-ray projection data with a 100 kVp x-ray beam using three different energy thresholds in a single gantry rotation. We implemented an energy threshold optimization scheme to determine optimal thresholds to balance signal-to-noise ratios (SNRs) among energy channels. Pixel-based detector response calibration was performed to remove ring artifacts in reconstructed CBCT images. Feldkamp-Davis-Kress method was employed to reconstruct CBCT images and a total-variance regularization-based optimization model was used to decompose CBCT images into bone and water material images. We compared dose calculation results using PCD-based ME-CBCT with that of FPD-based CBCT.Main results.The optimal nominal energy thresholds were determined as 26, 56, and 90 keV, under which SNRs in a selected region-of-interest in the water region were 6.11, 5.91 and 5.93 in the three energy channels, respectively. Compared with dose calculation results using FPD-based CBCT, using PCD-based ME-CBCT reduced the mean relative error from 49.5% to 16.4% in bone regions and from 7.5% to 6.9% in soft tissue regions.Significance.PCD-based ME-CBCT is beneficial in improving radiation dose calculation accuracy in experiment planning of preclinical small animal irradiation researches.
© 2022 Institute of Physics and Engineering in Medicine.

Entities:  

Keywords:  cone beam CT; photon counting; small animal imaging

Mesh:

Substances:

Year:  2022        PMID: 36096129      PMCID: PMC9547611          DOI: 10.1088/1361-6560/ac9176

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   4.174


  20 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Evaluation of a model-based treatment planning system for dose computations in the kilovoltage energy range.

Authors:  P Alaei; B J Gerbi; R A Geise
Journal:  Med Phys       Date:  2000-12       Impact factor: 4.071

3.  Implementation of dual- and triple-energy cone-beam micro-CT for postreconstruction material decomposition.

Authors:  P V Granton; S I Pollmann; N L Ford; M Drangova; D W Holdsworth
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

4.  Monte Carlo calculation of imaging doses from diagnostic multidetector CT and kilovoltage cone-beam CT as part of prostate cancer treatment plans.

Authors:  Aiping Ding; Jianwei Gu; Alexei V Trofimov; X George Xu
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

5.  Energy calibration of the pixels of spectral X-ray detectors.

Authors:  Raj Kumar Panta; Michael F Walsh; Stephen T Bell; Nigel G Anderson; Anthony P Butler; Philip H Butler
Journal:  IEEE Trans Med Imaging       Date:  2014-07-14       Impact factor: 10.048

6.  Iterative image-domain decomposition for dual-energy CT.

Authors:  Tianye Niu; Xue Dong; Michael Petrongolo; Lei Zhu
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

7.  Improving dose calculation accuracy in preclinical radiation experiments using multi-energy element resolved cone-beam CT.

Authors:  Yanqi Huang; Xiaoyu Hu; Yuncheng Zhong; Youfang Lai; Chenyang Shen; Xun Jia
Journal:  Phys Med Biol       Date:  2021-12-06       Impact factor: 3.609

Review 8.  Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications.

Authors:  Cynthia H McCollough; Shuai Leng; Lifeng Yu; Joel G Fletcher
Journal:  Radiology       Date:  2015-09       Impact factor: 11.105

9.  Deep-learning-based direct inversion for material decomposition.

Authors:  Hao Gong; Shengzhen Tao; Kishore Rajendran; Wei Zhou; Cynthia H McCollough; Shuai Leng
Journal:  Med Phys       Date:  2020-10-30       Impact factor: 4.071

Review 10.  An introduction to deep learning in medical physics: advantages, potential, and challenges.

Authors:  Chenyang Shen; Dan Nguyen; Zhiguo Zhou; Steve B Jiang; Bin Dong; Xun Jia
Journal:  Phys Med Biol       Date:  2020-03-03       Impact factor: 3.609

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