Literature DB >> 28170300

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.

Justin Solomon1, Daniele Marin1, Kingshuk Roy Choudhury1, Bhavik Patel1, Ehsan Samei1.   

Abstract

Purpose To determine the effect of radiation dose and iterative reconstruction (IR) on noise, contrast, resolution, and observer-based detectability of subtle hypoattenuating liver lesions and to estimate the dose reduction potential of the IR algorithm in question. Materials and Methods This prospective, single-center, HIPAA-compliant study was approved by the institutional review board. A dual-source computed tomography (CT) system was used to reconstruct CT projection data from 21 patients into six radiation dose levels (12.5%, 25%, 37.5%, 50%, 75%, and 100%) on the basis of two CT acquisitions. A series of virtual liver lesions (five per patient, 105 total, lesion-to-liver prereconstruction contrast of -15 HU, 12-mm diameter) were inserted into the raw CT projection data and images were reconstructed with filtered back projection (FBP) (B31f kernel) and sinogram-affirmed IR (SAFIRE) (I31f-5 kernel). Image noise (pixel standard deviation), lesion contrast (after reconstruction), lesion boundary sharpness (average normalized gradient at lesion boundary), and contrast-to-noise ratio (CNR) were compared. Next, a two-alternative forced choice perception experiment was performed (16 readers [six radiologists, 10 medical physicists]). A linear mixed-effects statistical model was used to compare detection accuracy between FBP and SAFIRE and to estimate the radiation dose reduction potential of SAFIRE. Results Compared with FBP, SAFIRE reduced noise by a mean of 53% ± 5, lesion contrast by 12% ± 4, and lesion sharpness by 13% ± 10 but increased CNR by 89% ± 19. Detection accuracy was 2% higher on average with SAFIRE than with FBP (P = .03), which translated into an estimated radiation dose reduction potential (±95% confidence interval) of 16% ± 13. Conclusion SAFIRE increases detectability at a given radiation dose (approximately 2% increase in detection accuracy) and allows for imaging at reduced radiation dose (16% ± 13), while maintaining low-contrast detectability of subtle hypoattenuating focal liver lesions. This estimated dose reduction is somewhat smaller than that suggested by past studies. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 28170300      PMCID: PMC5702911          DOI: 10.1148/radiol.2017161736

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


  39 in total

Review 1.  Iterative reconstruction methods in X-ray CT.

Authors:  Marcel Beister; Daniel Kolditz; Willi A Kalender
Journal:  Phys Med       Date:  2012-02-10       Impact factor: 2.685

2.  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

3.  Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE.

Authors:  Justin Solomon; Ehsan Samei
Journal:  Med Phys       Date:  2014-09       Impact factor: 4.071

4.  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

5.  CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT.

Authors:  Alban Gervaise; Benoît Osemont; Sophie Lecocq; Alain Noel; Emilien Micard; Jacques Felblinger; Alain Blum
Journal:  Eur Radiol       Date:  2011-09-17       Impact factor: 5.315

6.  Observer Performance in the Detection and Classification of Malignant Hepatic Nodules and Masses with CT Image-Space Denoising and Iterative Reconstruction.

Authors:  Joel G Fletcher; Lifeng Yu; Zhoubo Li; Armando Manduca; Daniel J Blezek; David M Hough; Sudhakar K Venkatesh; Gregory C Brickner; Joseph C Cernigliaro; Amy K Hara; Jeff L Fidler; David S Lake; Maria Shiung; David Lewis; Shuai Leng; Kurt E Augustine; Rickey E Carter; David R Holmes; Cynthia H McCollough
Journal:  Radiology       Date:  2015-05-26       Impact factor: 11.105

7.  A Novel Pairwise Comparison-Based Method to Determine Radiation Dose Reduction Potentials of Iterative Reconstruction Algorithms, Exemplified Through Circle of Willis Computed Tomography Angiography.

Authors:  Stephan Ellmann; Ferdinand Kammerer; Michael Brand; Thomas Allmendinger; Matthias S May; Michael Uder; Michael M Lell; Manuel Kramer
Journal:  Invest Radiol       Date:  2016-05       Impact factor: 6.016

8.  Construction of realistic phantoms from patient images and a commercial three-dimensional printer.

Authors:  Shuai Leng; Baiyu Chen; Thomas Vrieze; Joel Kuhlmann; Lifeng Yu; Amy Alexander; Jane Matsumoto; Jonathan Morris; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2016-07-07

9.  Diagnostic Accuracy of CT Enterography for Active Inflammatory Terminal Ileal Crohn Disease: Comparison of Full-Dose and Half-Dose Images Reconstructed with FBP and Half-Dose Images with SAFIRE.

Authors:  Namita S Gandhi; Mark E Baker; Ajit H Goenka; Jennifer A Bullen; Nancy A Obuchowski; Erick M Remer; Christopher P Coppa; David Einstein; Myra K Feldman; Devaraju Kanmaniraja; Andrei S Purysko; Noushin Vahdat; Andrew N Primak; Wadih Karim; Brian R Herts
Journal:  Radiology       Date:  2016-04-14       Impact factor: 11.105

10.  Radiation Dose Reduction in Pediatric Body CT Using Iterative Reconstruction and a Novel Image-Based Denoising Method.

Authors:  Lifeng Yu; Joel G Fletcher; Maria Shiung; Kristen B Thomas; Jane M Matsumoto; Shannon N Zingula; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2015-11       Impact factor: 3.959

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  29 in total

1.  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

Review 2.  Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications.

Authors:  Tommaso D'Angelo; Giuseppe Cicero; Silvio Mazziotti; Giorgio Ascenti; Moritz H Albrecht; Simon S Martin; Ahmed E Othman; Thomas J Vogl; Julian L Wichmann
Journal:  Br J Radiol       Date:  2019-04-09       Impact factor: 3.039

3.  Iterative algorithms for metal artifact reduction in children with orthopedic prostheses: preliminary results.

Authors:  Seema Toso; Meryle Laurent; Elise Dupuis Lozeron; Pauline Brindel; Marirosa Cristallo Lacalamita; Sylviane Hanquinet
Journal:  Pediatr Radiol       Date:  2018-07-28

4.  Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts.

Authors:  Hsin Wu Tseng; Srinivasan Vedantham; Andrew Karellas
Journal:  Phys Med       Date:  2020-04-28       Impact factor: 2.685

5.  Paper-based 3D printing of anthropomorphic CT phantoms: Feasibility of two construction techniques.

Authors:  Paul Jahnke; Stephan Schwarz; Marco Ziegert; Felix Benjamin Schwarz; Bernd Hamm; Michael Scheel
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

6.  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

7.  Can We Perform CT of the Appendix with Less Than 1 mSv? A De-escalating Dose-simulation Study.

Authors:  Ji Hoon Park; Jong-June Jeon; Sung Soo Lee; Amar C Dhanantwari; Ji Ye Sim; Hae Young Kim; Kyoung Ho Lee
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

8.  Rapid measurement of the low contrast detectability of CT scanners.

Authors:  Akinyinka Omigbodun; J Y Vaishnav; Scott S Hsieh
Journal:  Med Phys       Date:  2021-01-13       Impact factor: 4.071

9.  Estimating detectability index in vivo: development and validation of an automated methodology.

Authors:  Taylor Brunton Smith; Justin Solomon; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-11

10.  Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT.

Authors:  Corey T Jensen; Nicolaus A Wagner-Bartak; Lan N Vu; Xinming Liu; Bharat Raval; David Martinez; Wei Wei; Yuan Cheng; Ehsan Samei; Shiva Gupta
Journal:  Radiology       Date:  2018-11-27       Impact factor: 11.105

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