Literature DB >> 25776521

Task-based image quality evaluation of iterative reconstruction methods for low dose CT using computer simulations.

Jingyan Xu1, Matthew K Fuld, George S K Fung, Benjamin M W Tsui.   

Abstract

Iterative reconstruction (IR) methods for x-ray CT is a promising approach to improve image quality or reduce radiation dose to patients. The goal of this work was to use task based image quality measures and the channelized Hotelling observer (CHO) to evaluate both analytic and IR methods for clinical x-ray CT applications. We performed realistic computer simulations at five radiation dose levels, from a clinical reference low dose D0 to 25% D0. A fixed size and contrast lesion was inserted at different locations into the liver of the XCAT phantom to simulate a weak signal. The simulated data were reconstructed on a commercial CT scanner (SOMATOM Definition Flash; Siemens, Forchheim, Germany) using the vendor-provided analytic (WFBP) and IR (SAFIRE) methods. The reconstructed images were analyzed by CHOs with both rotationally symmetric (RS) and rotationally oriented (RO) channels, and with different numbers of lesion locations (5, 10, and 20) in a signal known exactly (SKE), background known exactly but variable (BKEV) detection task. The area under the receiver operating characteristic curve (AUC) was used as a summary measure to compare the IR and analytic methods; the AUC was also used as the equal performance criterion to derive the potential dose reduction factor of IR. In general, there was a good agreement in the relative AUC values of different reconstruction methods using CHOs with RS and RO channels, although the CHO with RO channels achieved higher AUCs than RS channels. The improvement of IR over analytic methods depends on the dose level. The reference dose level D0 was based on a clinical low dose protocol, lower than the standard dose due to the use of IR methods. At 75% D0, the performance improvement was statistically significant (p < 0.05). The potential dose reduction factor also depended on the detection task. For the SKE/BKEV task involving 10 lesion locations, a dose reduction of at least 25% from D0 was achieved.

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Year:  2015        PMID: 25776521     DOI: 10.1088/0031-9155/60/7/2881

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


  9 in total

1.  Impact of number of repeated scans on model observer performance for a low-contrast detection task in computed tomography.

Authors:  Chi Ma; Lifeng Yu; Baiyu Chen; Christopher Favazza; Shuai Leng; Cynthia McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2016-05-26

2.  Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.

Authors:  Marthony Robins; Justin Solomon; Pooyan Sahbaee; Martin Sedlmair; Kingshuk Roy Choudhury; Aria Pezeshk; Berkman Sahiner; Ehsan Samei
Journal:  Phys Med Biol       Date:  2017-08-22       Impact factor: 3.609

3.  A Task-dependent Investigation on Dose and Texture in CT Image Reconstruction.

Authors:  Yongfeng Gao; Zhengrong Liang; Hao Zhang; Jie Yang; John Ferretti; Thomas Bilfinger; Kavitha Yaddanapudi; Mark Schweitzer; Priya Bhattacharji; William Moore
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2019-12-04

4.  Measuring Computed Tomography Scanner Variability of Radiomics Features.

Authors:  Dennis Mackin; Xenia Fave; Lifei Zhang; David Fried; Jinzhong Yang; Brian Taylor; Edgardo Rodriguez-Rivera; Cristina Dodge; Aaron Kyle Jones; Laurence Court
Journal:  Invest Radiol       Date:  2015-11       Impact factor: 6.016

5.  Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm.

Authors:  Justin Solomon; Daniele Marin; Kingshuk Roy Choudhury; Bhavik Patel; Ehsan Samei
Journal:  Radiology       Date:  2017-02-07       Impact factor: 11.105

6.  Localization of liver lesions in abdominal CT imaging: II. Mathematical model observer performance correlates with human observer performance for localization of liver lesions in abdominal CT imaging.

Authors:  Samantha K N Dilger; Shuai Leng; Baiyu Chen; Rickey E Carter; Chris P Favazza; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  Phys Med Biol       Date:  2019-05-10       Impact factor: 3.609

7.  Localization of liver lesions in abdominal CT imaging: I. Correlation of human observer performance between anatomical and uniform backgrounds.

Authors:  Samantha K N Dilger; Lifeng Yu; Baiyu Chen; Chris P Favazza; Rickey E Carter; Joel G Fletcher; Cynthia H McCollough; Shuai Leng
Journal:  Phys Med Biol       Date:  2019-05-10       Impact factor: 3.609

8.  A prior image constraint robust principal component analysis reconstruction method for sparse segmental multi-energy computed tomography.

Authors:  Bin Li; Ning Luo; Anni Zhong; Yongbao Li; Along Chen; Linghong Zhou; Yuan Xu
Journal:  Quant Imaging Med Surg       Date:  2021-09

9.  A signal detection model for quantifying overregularization in nonlinear image reconstruction.

Authors:  Emil Y Sidky; John Paul Phillips; Weimin Zhou; Greg Ongie; Juan P Cruz-Bastida; Ingrid S Reiser; Mark A Anastasio; Xiaochuan Pan
Journal:  Med Phys       Date:  2021-06-25       Impact factor: 4.506

  9 in total

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