Literature DB >> 22459913

A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT.

Hao Yan1, Laura Cervino, Xun Jia, Steve B Jiang.   

Abstract

While compressed sensing (CS)-based algorithms have been developed for the low-dose cone beam CT (CBCT) reconstruction, a clear understanding of the relationship between the image quality and imaging dose at low-dose levels is needed. In this paper, we qualitatively investigate this subject in a comprehensive manner with extensive experimental and simulation studies. The basic idea is to plot both the image quality and imaging dose together as functions of the number of projections and mAs per projection over the whole clinically relevant range. On this basis, a clear understanding of the tradeoff between the image quality and imaging dose can be achieved and optimal low-dose CBCT scan protocols can be developed to maximize the dose reduction while minimizing the image quality loss for various imaging tasks in image-guided radiation therapy (IGRT). Main findings of this work include (1) under the CS-based reconstruction framework, image quality has little degradation over a large range of dose variation. Image quality degradation becomes evident when the imaging dose (approximated with the x-ray tube load) is decreased below 100 total mAs. An imaging dose lower than 40 total mAs leads to a dramatic image degradation, and thus should be used cautiously. Optimal low-dose CBCT scan protocols likely fall in the dose range of 40-100 total mAs, depending on the specific IGRT applications. (2) Among different scan protocols at a constant low-dose level, the super sparse-view reconstruction with the projection number less than 50 is the most challenging case, even with strong regularization. Better image quality can be acquired with low mAs protocols. (3) The optimal scan protocol is the combination of a medium number of projections and a medium level of mAs/view. This is more evident when the dose is around 72.8 total mAs or below and when the ROI is a low-contrast or high-resolution object. Based on our results, the optimal number of projections is around 90 to 120. (4) The clinically acceptable lowest imaging dose level is task dependent. In our study, 72.8 mAs is a safe dose level for visualizing low-contrast objects, while 12.2 total mAs is sufficient for detecting high-contrast objects of diameter greater than 3 mm.

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Year:  2012        PMID: 22459913      PMCID: PMC3352686          DOI: 10.1088/0031-9155/57/7/2063

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  26 in total

1.  Flat-panel cone-beam computed tomography for image-guided radiation therapy.

Authors:  David A Jaffray; Jeffrey H Siewerdsen; John W Wong; Alvaro A Martinez
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-08-01       Impact factor: 7.038

2.  GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation.

Authors:  Xun Jia; Yifei Lou; Ruijiang Li; William Y Song; Steve B Jiang
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

3.  Compressed sensing based cone-beam computed tomography reconstruction with a first-order method.

Authors:  Kihwan Choi; Jing Wang; Lei Zhu; Tae-Suk Suh; Stephen Boyd; Lei Xing
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

4.  GPU-based iterative cone-beam CT reconstruction using tight frame regularization.

Authors:  Xun Jia; Bin Dong; Yifei Lou; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-05-31       Impact factor: 3.609

5.  FSIM: a feature similarity index for image quality assessment.

Authors:  Lin Zhang; Lei Zhang; Xuanqin Mou; David Zhang
Journal:  IEEE Trans Image Process       Date:  2011-01-31       Impact factor: 10.856

6.  A soft-threshold filtering approach for reconstruction from a limited number of projections.

Authors:  Hengyong Yu; Ge Wang
Journal:  Phys Med Biol       Date:  2010-07-07       Impact factor: 3.609

7.  Low-dose CT reconstruction via edge-preserving total variation regularization.

Authors:  Zhen Tian; Xun Jia; Kehong Yuan; Tinsu Pan; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-08-22       Impact factor: 3.609

8.  View sampling requirements in fan beam computed tomography.

Authors:  P M Joseph; R A Schulz
Journal:  Med Phys       Date:  1980 Nov-Dec       Impact factor: 4.071

9.  Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.

Authors:  Junguo Bian; Jeffrey H Siewerdsen; Xiao Han; Emil Y Sidky; Jerry L Prince; Charles A Pelizzari; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2010-10-20       Impact factor: 3.609

10.  Projection correlation based view interpolation for cone beam CT: primary fluence restoration in scatter measurement with a moving beam stop array.

Authors:  Hao Yan; Xuanqin Mou; Shaojie Tang; Qiong Xu; Maria Zankl
Journal:  Phys Med Biol       Date:  2010-10-12       Impact factor: 3.609

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  28 in total

1.  Cone beam CT dose reduction in prostate radiotherapy using Likert scale methods.

Authors:  Keith A Langmack; Louise A Newton; Suzanne Jordan; Ruth Smith
Journal:  Br J Radiol       Date:  2015-12-21       Impact factor: 3.039

2.  In vivo performance of gold nanoparticle-loaded absorbable inferior vena cava filters in a swine model.

Authors:  Steven Y Huang; Jossana A Damasco; Li Tian; Linfeng Lu; Joy Vanessa D Perez; Katherine A Dixon; Malea L Williams; Megan C Jacobsen; Stephen J Dria; Mitchell D Eggers; Adam D Melancon; Rick R Layman; Elizabeth M Whitley; Marites P Melancon
Journal:  Biomater Sci       Date:  2020-06-19       Impact factor: 6.843

3.  Progressive cone beam CT dose control in image-guided radiation therapy.

Authors:  Hao Yan; Xin Zhen; Laura Cerviño; Steve B Jiang; Xun Jia
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

4.  A hybrid reconstruction algorithm for fast and accurate 4D cone-beam CT imaging.

Authors:  Hao Yan; Xin Zhen; Michael Folkerts; Yongbao Li; Tinsu Pan; Laura Cervino; Steve B Jiang; Xun Jia
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

5.  Towards the clinical implementation of iterative low-dose cone-beam CT reconstruction in image-guided radiation therapy: cone/ring artifact correction and multiple GPU implementation.

Authors:  Hao Yan; Xiaoyu Wang; Feng Shi; Ti Bai; Michael Folkerts; Laura Cervino; Steve B Jiang; Xun Jia
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

6.  Impact of prone, supine and oblique patient positioning on CBCT image quality, contrast-to-noise ratio and figure of merit value in the maxillofacial region.

Authors:  Juha Koivisto; Maureen van Eijnatten; Jorma Järnstedt; Kirsi Holli-Helenius; Prasun Dastidar; Jan Wolff
Journal:  Dentomaxillofac Radiol       Date:  2017-04-07       Impact factor: 2.419

7.  Ultra-Low Radiation Dose CT Fluoroscopy for Percutaneous Interventions: A Porcine Feasibility Study.

Authors:  Martin G Wagner; J Louis Hinshaw; Yinsheng Li; Timothy P Szczykutowicz; Paul Laeseke; Charles A Mistretta; Fred T Lee
Journal:  Radiology       Date:  2019-01-15       Impact factor: 11.105

8.  Reconstructing cone-beam CT with spatially varying qualities for adaptive radiotherapy: a proof-of-principle study.

Authors:  Wenting Lu; Hao Yan; Xuejun Gu; Zhen Tian; Ouyang Luo; Liu Yang; Linghong Zhou; Laura Cervino; Jing Wang; Steve Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2014-09-26       Impact factor: 3.609

9.  CT to cone-beam CT deformable registration with simultaneous intensity correction.

Authors:  Xin Zhen; Xuejun Gu; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-10-03       Impact factor: 3.609

10.  Optimization-based image reconstruction from sparse-view data in offset-detector CBCT.

Authors:  Junguo Bian; Jiong Wang; Xiao Han; Emil Y Sidky; Lingxiong Shao; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2012-12-21       Impact factor: 3.609

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