Literature DB >> 25811326

Degradation of CT Low-Contrast Spatial Resolution Due to the Use of Iterative Reconstruction and Reduced Dose Levels.

Cynthia H McCollough1, Lifeng Yu1, James M Kofler1, Shuai Leng1, Yi Zhang1, Zhoubo Li1, Rickey E Carter1.   

Abstract

PURPOSE: To determine the dose reduction that could be achieved without degrading low-contrast spatial resolution (LCR) performance for two commercial iterative reconstruction (IR) techniques, each evaluated at two strengths with many repeated scans.
MATERIALS AND METHODS: Two scanner models were used to image the American College of Radiology (ACR) CT accreditation phantom LCR section at volume CT dose indexes of 8, 12, and 16 mGy. Images were reconstructed by using filtered back projection (FBP) and two manufacturers' IR techniques, each at two strengths (moderate and strong). Data acquisition and reconstruction were repeated 100 times for each, yielding 1800 images. Three diagnostic medical physicists reviewed the LCR images in a blinded fashion and graded the visibility of four 6-mm rods with a six-point scale. Noninferiority and inferiority-superiority analyses were used to interpret the differences in LCR relative to FBP images acquired at 16 mGy.
RESULTS: LCR decreased with decreasing dose for all reconstructions. Relative to FBP and full dose, 25%-50% dose reductions resulted in inferior LCR for vendors 1 and 2 for FBP and 25% dose reductions resulted in inferior and equivalent performance for vendor 1 and equivalent and superior performance for vendor 2 at moderate and strong IR settings, respectively. When dose was reduced by 50%, both IR techniques resulted in inferior LCR at both strength settings.
CONCLUSION: For radiation dose reductions of 25% or more, the ability to resolve the four 6-mm rods in the ACR CT accreditation phantom can be lost. (©) RSNA, 2015.

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Year:  2015        PMID: 25811326      PMCID: PMC4514568          DOI: 10.1148/radiol.15142047

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  The phantom portion of the American College of Radiology (ACR) computed tomography (CT) accreditation program: practical tips, artifact examples, and pitfalls to avoid.

Authors:  Cynthia H McCollough; Michael R Bruesewitz; Michael F McNitt-Gray; Krista Bush; Thomas Ruckdeschel; J Thomas Payne; James A Brink; Robert K Zeman
Journal:  Med Phys       Date:  2004-09       Impact factor: 4.071

2.  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

3.  Radiation dose reduction with Sinogram Affirmed Iterative Reconstruction technique for abdominal computed tomography.

Authors:  Mannudeep K Kalra; Mischa Woisetschläger; Nils Dahlström; Sarabjeet Singh; Maria Lindblom; Garry Choy; Petter Quick; Bernhard Schmidt; Martin Sedlmair; Michael A Blake; Anders Persson
Journal:  J Comput Assist Tomogr       Date:  2012 May-Jun       Impact factor: 1.826

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.  Methods for clinical evaluation of noise reduction techniques in abdominopelvic CT.

Authors:  Eric C Ehman; Lifeng Yu; Armando Manduca; Amy K Hara; Maria M Shiung; Dayna Jondal; David S Lake; Robert G Paden; Daniel J Blezek; Michael R Bruesewitz; Cynthia H McCollough; David M Hough; Joel G Fletcher
Journal:  Radiographics       Date:  2014 Jul-Aug       Impact factor: 5.333

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

7.  Abdominal CT with model-based iterative reconstruction (MBIR): initial results of a prospective trial comparing ultralow-dose with standard-dose imaging.

Authors:  Perry J Pickhardt; Meghan G Lubner; David H Kim; Jie Tang; Julie A Ruma; Alejandro Muñoz del Rio; Guang-Hong Chen
Journal:  AJR Am J Roentgenol       Date:  2012-12       Impact factor: 3.959

8.  Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Jiang Hsieh; Paul E Licato; Synho Do; Homer H Pien; Michael A Blake
Journal:  Radiology       Date:  2010-09-09       Impact factor: 11.105

9.  Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study.

Authors:  Amy K Hara; Robert G Paden; Alvin C Silva; Jennifer L Kujak; Holly J Lawder; William Pavlicek
Journal:  AJR Am J Roentgenol       Date:  2009-09       Impact factor: 3.959

10.  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

  10 in total
  47 in total

1.  Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging.

Authors:  Takeshi Nakaura; Yuji Iyama; Masafumi Kidoh; Koichi Yokoyama; Seitaro Oda; Shinichi Tokuyasu; Kazunori Harada; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2015-12-29       Impact factor: 2.804

2.  A Web-Based Software Platform for Efficient and Quantitative CT Image Quality Assessment and Protocol Optimization.

Authors:  Mingdong Fan; Theodore Thayib; Liqiang Ren; Scott Hsieh; Cynthia McCollough; David Holmes; Lifeng Yu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

3.  Feasibility of low-dose CT with spectral shaping and third-generation iterative reconstruction in evaluating interstitial lung diseases associated with connective tissue disease: an intra-individual comparison study.

Authors:  Xiaoli Xu; Xin Sui; Lan Song; Yao Huang; Yingqian Ge; Zhengyu Jin; Wei Song
Journal:  Eur Radiol       Date:  2019-02-08       Impact factor: 5.315

4.  Evaluation of a projection-domain lung nodule insertion technique in thoracic computed tomography.

Authors:  Chi Ma; Lifeng Yu; Baiyu Chen; Chi Wan Koo; Edwin A Takahashi; Joel G Fletcher; David L Levin; Ronald S Kuzo; Lyndsay D Viers; Stephanie A Vincent-Sheldon; Shuai Leng; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-31

5.  CT image quality in sinogram affirmed iterative reconstruction phantom study - is there a point of diminishing returns?

Authors:  Juan C Infante; Yu Liu; Cynthia K Rigsby
Journal:  Pediatr Radiol       Date:  2016-11-28

6.  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

7.  Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study.

Authors:  Domitille Millon; Alain Vlassenbroek; Aline G Van Maanen; Samantha E Cambier; Emmanuel E Coche
Journal:  Eur Radiol       Date:  2016-06-14       Impact factor: 5.315

8.  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

9.  Diagnostic performance of reduced-dose CT with a hybrid iterative reconstruction algorithm for the detection of hypervascular liver lesions: a phantom study.

Authors:  Atsushi Nakamoto; Yoshikazu Tanaka; Hiroshi Juri; Go Nakai; Shushi Yoshikawa; Yoshifumi Narumi
Journal:  Eur Radiol       Date:  2016-12-12       Impact factor: 5.315

10.  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
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