scholarly journals Patient-specific minimum-dose imaging protocols for statistical image reconstruction in C-arm cone-beam CT using correlated noise injection

2014 ◽  
Author(s):  
A. S. Wang ◽  
J. W. Stayman ◽  
Y. Otake ◽  
A. J. Khanna ◽  
G. L. Gallia ◽  
...  
2017 ◽  
Vol 62 (22) ◽  
pp. 8693-8719 ◽  
Author(s):  
Hao Dang ◽  
J Webster Stayman ◽  
Jennifer Xu ◽  
Wojciech Zbijewski ◽  
Alejandro Sisniega ◽  
...  

2016 ◽  
Vol 62 (2) ◽  
pp. 539-559 ◽  
Author(s):  
Hao Dang ◽  
J Webster Stayman ◽  
Alejandro Sisniega ◽  
Wojciech Zbijewski ◽  
Jennifer Xu ◽  
...  

2013 ◽  
Author(s):  
Adam S. Wang ◽  
Sebastian Schafer ◽  
J. W. Stayman ◽  
Yoshi Otake ◽  
Marc S. Sussman ◽  
...  

2021 ◽  
Vol 94 (1124) ◽  
pp. 20210068
Author(s):  
Caroline Ordóñez-Sanz ◽  
Mark Cowen ◽  
Neda Shiravand ◽  
Niall D MacDougall

Objectives: A simple, robust method, for optimising cone-beam CT (CBCT) dose and image quality for pelvis treatment, based on patient-specific attenuation. Methods: Methods were investigated for grouping patients into four imaging categories (small [S], medium [M], large [L], extra large [XL]), based on planning-CT CTDIvol, and phantoms constructed to represent each group. CBCTs with varying kV, mA and ms honed in on the best settings, with a bladder noise of 25 HU. A patient pilot study clinically verified the new imaging settings. Results: The planning CTDIvol is a reliable method for grouping patients. Phantom measurements from the S, M and L groups show doses significantly reduced (19–83% reduction), whilst the XL group required an increase of 39%. Phantom TLD measurements showed the number of scans needed to increase rectal organ at risk (OAR) dose by 1 Gy was 143 (S group) and 50 (M group). Images were qualitatively assessed as sufficient by clinicians. Conclusion: Patient-specific CBCT modes are in use clinically with dose reductions across all modes except Pelvis XL, keeping doses ALARP and images optimal. Consideration of OAR doses controls the number of CBCTs allowed to ensure adherence to OAR tolerance. Reporting CBCT doses in “scans per Gray” allows clinicians to make informed decisions regarding the imaging schedule and concomitant doses. Advances in knowledge: Patient grouping at planning CT, using CTDIvol, allows for CBCT imaging protocols to be selected based on patient specific attenuation. Reporting OAR doses in terms of “scans per Gray” allows translation of imaging dose risk to the Oncologist.


2006 ◽  
Vol 33 (10) ◽  
pp. 3743-3757 ◽  
Author(s):  
Nianming Zuo ◽  
Dan Xia ◽  
Yu Zou ◽  
Tianzi Jiang ◽  
Xiao-Chuan Pan

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Xing Zhao ◽  
Jing-jing Hu ◽  
Peng Zhang

Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical application. The computational power of modern graphics processing units (GPUs) has been harnessed to provide impressive acceleration of 3D volume image reconstruction. For extra large data volume exceeding the physical graphic memory of GPU, a straightforward compromise is to divide data volume into blocks. Different from the conventional Octree partition method, a new partition scheme is proposed in this paper. This method divides both projection data and reconstructed image volume into subsets according to geometric symmetries in circular cone-beam projection layout, and a fast reconstruction for large data volume can be implemented by packing the subsets of projection data into the RGBA channels of GPU, performing the reconstruction chunk by chunk and combining the individual results in the end. The method is evaluated by reconstructing 3D images from computer-simulation data and real micro-CT data. Our results indicate that the GPU implementation can maintain original precision and speed up the reconstruction process by 110–120 times for circular cone-beam scan, as compared to traditional CPU implementation.


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