Literature DB >> 25853774

Assessment of Low-Contrast Resolution for the American College of Radiology Computed Tomographic Accreditation Program: What Is the Impact of Iterative Reconstruction?

James M Kofler1, Lifeng Yu, Shuai Leng, Yi Zhang, Zhoubo Li, Rickey E Carter, Cynthia H McCollough.   

Abstract

OBJECTIVE: To compare contrast-to-noise ratio (CNR) thresholds with visual assessment of low-contrast resolution (LCR) in filtered back projection (FBP) and iteratively reconstructed (IR) computed tomographic (CT) images.
METHODS: American College of Radiology (ACR) CT accreditation phantom LCR images were acquired at CTDIvol levels of 8, 12, and 16 mGy using 2 scanner models and reconstructed using one FBP and 2 IR kernels. Acquisitions were repeated 100 times. Three board-certified medical physicists blindly reviewed the LCR section images. Pass-percentage rates (PPRs) using previous and current ACR CT accreditation criteria were compared.
RESULTS: Observer PPRs for FBP images were less than 32%. For IR images, 5 of 18 settings/dose/model configurations had PPRs greater than 32% (maximum 76.3%). For CNR evaluation of FBP images, PPRs for 15 configurations were greater than 70%. For IR images, all PPRs were at least 96%.
CONCLUSIONS: The CNR threshold used by the ACR CT accreditation program yields higher PPRs than visual assessment of LCR, potentially resulting in lower-quality images passing the ACR CNR criteria.

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Year:  2015        PMID: 25853774      PMCID: PMC4504791          DOI: 10.1097/RCT.0000000000000245

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 in total

1.  A three-dimensional statistical approach to improved image quality for multislice helical CT.

Authors:  Jean-Baptiste Thibault; Ken D Sauer; Charles A Bouman; Jiang Hsieh
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

2.  Comparison of iterative model-based reconstruction versus conventional filtered back projection and hybrid iterative reconstruction techniques: lesion conspicuity and influence of body size in anthropomorphic liver phantoms.

Authors:  Jeong Hee Yoon; Jeong Min Lee; Mi Hye Yu; Jee Hyun Baek; Ju Hyun Jeon; Bo Yun Hur; Amar Dhanantwari; Se Young Chung; Joon Koo Han; Byung Ihn Choi
Journal:  J Comput Assist Tomogr       Date:  2014 Nov-Dec       Impact factor: 1.826

3.  Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT.

Authors:  K L Dobeli; S J Lewis; S R Meikle; D L Thiele; P C Brennan
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

4.  Contrast-to-noise ratio and low-contrast object resolution on full- and low-dose MDCT: SAFIRE versus filtered back projection in a low-contrast object phantom and in the liver.

Authors:  Mark E Baker; Frank Dong; Andrew Primak; Nancy A Obuchowski; David Einstein; Namita Gandhi; Brian R Herts; Andrei Purysko; Erick Remer; Neil Vachhani; Neil Vachani
Journal:  AJR Am J Roentgenol       Date:  2012-07       Impact factor: 3.959

5.  Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods.

Authors:  Baiyu Chen; Olav Christianson; Joshua M Wilson; Ehsan Samei
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

6.  Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18-reader study.

Authors:  Ajit H Goenka; Brian R Herts; Nancy A Obuchowski; Andrew N Primak; Frank Dong; Wadih Karim; Mark E Baker
Journal:  Radiology       Date:  2014-03-10       Impact factor: 11.105

Review 7.  Iterative reconstruction: how it works, how to apply it.

Authors:  James Anthony Seibert
Journal:  Pediatr Radiol       Date:  2014-10-11

8.  Prediction of human observer performance in a 2-alternative forced choice low-contrast detection task using channelized Hotelling observer: impact of radiation dose and reconstruction algorithms.

Authors:  Lifeng Yu; Shuai Leng; Lingyun Chen; James M Kofler; Rickey E Carter; Cynthia H McCollough
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Iterative reconstruction algorithm for CT: can radiation dose be decreased while low-contrast detectability is preserved?

Authors:  Sebastian T Schindera; Devang Odedra; Syed Arsalan Raza; Tae Kyoung Kim; Hyun-Jung Jang; Zsolt Szucs-Farkas; Patrik Rogalla
Journal:  Radiology       Date:  2013-06-20       Impact factor: 11.105

  9 in total
  4 in total

1.  Deep-learning-based model observer for a lung nodule detection task in computed tomography.

Authors:  Hao Gong; Qiyuan Hu; Andrew Walther; Chi Wan Koo; Edwin A Takahashi; David L Levin; Tucker F Johnson; Megan J Hora; Shuai Leng; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  J Med Imaging (Bellingham)       Date:  2020-06-30

2.  Use of a channelized Hotelling observer to assess CT image quality and optimize dose reduction for iteratively reconstructed images.

Authors:  Christopher P Favazza; Andrea Ferrero; Lifeng Yu; Shuai Leng; Kyle L McMillan; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-03

3.  Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

Authors:  Hao Gong; Joel G Fletcher; Jay P Heiken; Michael L Wells; Shuai Leng; Cynthia H McCollough; Lifeng Yu
Journal:  Med Phys       Date:  2021-12-01       Impact factor: 4.506

4.  A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study.

Authors:  Patrizio Barca; Fabio Paolicchi; Giacomo Aringhieri; Federica Palmas; Daniela Marfisi; Maria Evelina Fantacci; Davide Caramella; Marco Giannelli
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

  4 in total

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