A hybrid reconstruction algorithm for fast and accurate 4D cone-beam CT imaginga)

被引:28
|
作者
Yan, Hao [1 ]
Zhen, Xin [2 ]
Folkerts, Michael [1 ]
Li, Yongbao [1 ,3 ]
Pan, Tinsu [4 ]
Cervino, Laura [5 ]
Jiang, Steve B. [1 ]
Jia, Xun [1 ]
机构
[1] Univ Texas SW Med Ctr Dallas, Dept Radiat Oncol, Dallas, TX 75390 USA
[2] Southern Med Univ, Dept Biomed Engn, Guangzhou 510515, Guangdong, Peoples R China
[3] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[4] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA
[5] Univ Calif San Diego, Dept Radiat Med & Appl Sci, La Jolla, CA 92093 USA
基金
中国国家自然科学基金;
关键词
4D cone beam CT; reconstruction; GPU; PRINCIPAL COMPONENT ANALYSIS; GUIDED RADIATION-THERAPY; LUNG-CANCER RADIOTHERAPY; DEFORMATION FIELD MAP; 3D TUMOR-LOCALIZATION; COMPUTED-TOMOGRAPHY; IMAGE-RECONSTRUCTION; RESPIRATORY MOTION; INTERIOR TOMOGRAPHY; INTRA-FRACTION;
D O I
10.1118/1.4881326
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: 4D cone beam CT (4D-CBCT) has been utilized in radiation therapy to provide 4D image guidance in lung and upper abdomen area. However, clinical application of 4D-CBCT is currently limited due to the long scan time and low image quality. The purpose of this paper is to develop a new 4D-CBCT reconstruction method that restores volumetric images based on the 1-min scan data acquired with a standard 3D-CBCT protocol. Methods: The model optimizes a deformation vector field that deforms a patient-specific planning CT (p-CT), so that the calculated 4D-CBCT projections match measurements. A forward-backward splitting (FBS) method is invented to solve the optimization problem. It splits the original problem into two well-studied subproblems, i.e., image reconstruction and deformable image registration. By iteratively solving the two subproblems, FBS gradually yields correct deformation information, while maintaining high image quality. The whole workflow is implemented on a graphic-processing-unit to improve efficiency. Comprehensive evaluations have been conducted on a moving phantom and three real patient cases regarding the accuracy and quality of the reconstructed images, as well as the algorithm robustness and efficiency. Results: The proposed algorithm reconstructs 4D-CBCT images from highly under-sampled projection data acquired with 1-min scans. Regarding the anatomical structure location accuracy, 0.204 mm average differences and 0.484 mm maximum difference are found for the phantom case, and the maximum differences of 0.3-0.5 mm for patients 1-3 are observed. As for the image quality, intensity errors below 5 and 20 HU compared to the planning CT are achieved for the phantom and the patient cases, respectively. Signal-noise-ratio values are improved by 12.74 and 5.12 times compared to results from FDK algorithm using the 1-min data and 4-min data, respectively. The computation time of the algorithm on a NVIDIA GTX590 card is 1-1.5 min per phase. Conclusions: High-quality 4D-CBCT imaging based on the clinically standard 1-min 3D CBCT scanning protocol is feasible via the proposed hybrid reconstruction algorithm. (C) 2014 American Association of Physicists in Medicine.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction
    Zhang, Hua
    Sonke, Jan-Jakob
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2012, PT I, 2012, 7510 : 181 - 188
  • [2] Fast 4D cone-beam CT from 60 s acquisitions
    Hansen, David C.
    Sorensen, Thomas Sangild
    [J]. PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2018, 5 : 69 - 75
  • [3] A fast 4D cone beam CT reconstruction method based on the OSC-TV algorithm
    Mascolo-Fortin, Julia
    Matenine, Dmitri
    Archambault, Louis
    Despres, Philippe
    [J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2018, 26 (02) : 189 - 208
  • [4] Evaluation of a 4D Cone-Beam CT Reconstruction Approach Using an Anthropomorphic Phantom
    Yaniv, Ziv
    Boese, Ian
    Sarmiento, Marily
    Cleary, Kevin
    [J]. INFORMATION PROCESSING IN COMPUTER-ASSISTED INTERVENTIONS, 2010, 6135 : 147 - +
  • [5] Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT
    Wang, Jing
    Gu, Xuejun
    [J]. MEDICAL PHYSICS, 2013, 40 (10)
  • [6] Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for 4D Cone-beam CT
    Wang, Jing
    Gu, Xuejun
    [J]. MEDICAL IMAGING 2014: PHYSICS OF MEDICAL IMAGING, 2014, 9033
  • [7] Evaluation of a 4D Cone-Beam CT Reconstruction Approach using a Simulation Framework
    Hartl, Alexander
    Yaniv, Ziv
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 5729 - 5732
  • [8] Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for 4D Cone-Beam CT
    Wang, J.
    Gu, X.
    [J]. MEDICAL PHYSICS, 2013, 40 (06)
  • [9] Directional sinogram interpolation for motion weighted 4D cone-beam CT reconstruction
    Zhang, Hua
    Kruis, Matthijs
    Sonke, Jan-Jakob
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (06): : 2254 - 2275
  • [10] Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for 4D Cone-beam CT
    Wang, Jing
    Gu, Xuejun
    [J]. 2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2013,