Literature DB >> 24091359

Model-based iterative reconstruction: effect on patient radiation dose and image quality in pediatric body CT.

Ethan A Smith1, Jonathan R Dillman, Mitchell M Goodsitt, Emmanuel G Christodoulou, Nahid Keshavarzi, Peter J Strouse.   

Abstract

PURPOSE: To retrospectively compare image quality and radiation dose between a reduced-dose computed tomographic (CT) protocol that uses model-based iterative reconstruction (MBIR) and a standard-dose CT protocol that uses 30% adaptive statistical iterative reconstruction (ASIR) with filtered back projection.
MATERIALS AND METHODS: Institutional review board approval was obtained. Clinical CT images of the chest, abdomen, and pelvis obtained with a reduced-dose protocol were identified. Images were reconstructed with two algorithms: MBIR and 100% ASIR. All subjects had undergone standard-dose CT within the prior year, and the images were reconstructed with 30% ASIR. Reduced- and standard-dose images were evaluated objectively and subjectively. Reduced-dose images were evaluated for lesion detectability. Spatial resolution was assessed in a phantom. Radiation dose was estimated by using volumetric CT dose index (CTDI(vol)) and calculated size-specific dose estimates (SSDE). A combination of descriptive statistics, analysis of variance, and t tests was used for statistical analysis.
RESULTS: In the 25 patients who underwent the reduced-dose protocol, mean decrease in CTDI(vol) was 46% (range, 19%-65%) and mean decrease in SSDE was 44% (range, 19%-64%). Reduced-dose MBIR images had less noise (P > .004). Spatial resolution was superior for reduced-dose MBIR images. Reduced-dose MBIR images were equivalent to standard-dose images for lungs and soft tissues (P > .05) but were inferior for bones (P = .004). Reduced-dose 100% ASIR images were inferior for soft tissues (P < .002), lungs (P < .001), and bones (P < .001). By using the same reduced-dose acquisition, lesion detectability was better (38% [32 of 84 rated lesions]) or the same (62% [52 of 84 rated lesions]) with MBIR as compared with 100% ASIR.
CONCLUSION: CT performed with a reduced-dose protocol and MBIR is feasible in the pediatric population, and it maintains diagnostic quality. © RSNA, 2013

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Year:  2013        PMID: 24091359      PMCID: PMC4228752          DOI: 10.1148/radiol.13130362

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


  19 in total

1.  Management of patient dose and image noise in routine pediatric CT abdominal examinations.

Authors:  Francis R Verdun; D Lepori; Pascal Monnin; Jean-François Valley; Pierre Schnyder; F Gudinchet
Journal:  Eur Radiol       Date:  2004-01-13       Impact factor: 5.315

Review 2.  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

3.  Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Synho Do; Jean Baptiste Thibault; Homer Pien; Owen J O'Connor; Owen O J Connor; Michael A Blake
Journal:  J Comput Assist Tomogr       Date:  2012 May-Jun       Impact factor: 1.826

4.  Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique.

Authors:  Masaki Katsura; Izuru Matsuda; Masaaki Akahane; Jiro Sato; Hiroyuki Akai; Koichiro Yasaka; Akira Kunimatsu; Kuni Ohtomo
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

5.  The Image Gently campaign: working together to change practice.

Authors:  Marilyn J Goske; Kimberly E Applegate; Jennifer Boylan; Priscilla F Butler; Michael J Callahan; Brian D Coley; Shawn Farley; Donald P Frush; Marta Hernanz-Schulman; Diego Jaramillo; Neil D Johnson; Sue C Kaste; Greg Morrison; Keith J Strauss; Nora Tuggle
Journal:  AJR Am J Roentgenol       Date:  2008-02       Impact factor: 3.959

6.  Pediatric CT radiation dose: how low can you go?

Authors:  Mervyn D Cohen
Journal:  AJR Am J Roentgenol       Date:  2009-05       Impact factor: 3.959

7.  Radiation dose reduction with hybrid iterative reconstruction for pediatric CT.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Anuradha S Shenoy-Bhangle; Aashna Saini; Debra A Gervais; Sjirk J Westra; James H Thrall
Journal:  Radiology       Date:  2012-05       Impact factor: 11.105

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.  Radiation risk to children from computed tomography.

Authors:  Alan S Brody; Donald P Frush; Walter Huda; Robert L Brent
Journal:  Pediatrics       Date:  2007-09       Impact factor: 7.124

10.  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

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  41 in total

1.  Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Authors:  Young Jin Ryu; Young Hun Choi; Jung-Eun Cheon; Seongmin Ha; Woo Sun Kim; In-One Kim
Journal:  Pediatr Radiol       Date:  2015-11-06

2.  Comparison of the image qualities of filtered back-projection, adaptive statistical iterative reconstruction, and model-based iterative reconstruction for CT venography at 80 kVp.

Authors:  Jin Hyeok Kim; Ki Seok Choo; Tae Yong Moon; Jun Woo Lee; Ung Bae Jeon; Tae Un Kim; Jae Yeon Hwang; Myeong-Ja Yun; Dong Wook Jeong; Soo Jin Lim
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

3.  Image quality and dose optimisation for infant CT using a paediatric phantom.

Authors:  Jack W Lambert; Andrew S Phelps; Jesse L Courtier; Robert G Gould; John D MacKenzie
Journal:  Eur Radiol       Date:  2015-08-26       Impact factor: 5.315

4.  Limiting CT radiation dose in children with craniosynostosis: phantom study using model-based iterative reconstruction.

Authors:  Touko Kaasalainen; Kirsi Palmu; Anniina Lampinen; Vappu Reijonen; Junnu Leikola; Riku Kivisaari; Mika Kortesniemi
Journal:  Pediatr Radiol       Date:  2015-05-05

5.  Optimization of hybrid iterative reconstruction level and evaluation of image quality and radiation dose for pediatric cardiac computed tomography angiography.

Authors:  Lin Yang; Jian Zhuang; Meiping Huang; Changhong Liang; Hui Liu
Journal:  Pediatr Radiol       Date:  2016-09-16

6.  Conventional versus virtual radiographs of the injured pelvis and acetabulum.

Authors:  Julius A Bishop; Allison J Rao; Michael A Pouliot; Christopher Beaulieu; Michael Bellino
Journal:  Skeletal Radiol       Date:  2015-05-26       Impact factor: 2.199

Review 7.  Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms.

Authors:  Ranish Deedar Ali Khawaja; Sarabjeet Singh; Alexi Otrakji; Atul Padole; Ruth Lim; Katherine Nimkin; Sjirk Westra; Mannudeep K Kalra; Michael S Gee
Journal:  Pediatr Radiol       Date:  2014-11-27

8.  Radiation dose optimization for the bolus tracking technique in abdominal computed tomography: usefulness of real-time iterative reconstruction for monitoring scan.

Authors:  Yuya Ishikawa; Atsushi Urikura; Tsukasa Yoshida; Keisuke Takiguchi; Yoshihiro Nakaya
Journal:  Radiol Phys Technol       Date:  2016-09-30

9.  CT imaging of congenital lung lesions: effect of iterative reconstruction on diagnostic performance and radiation dose.

Authors:  Jay E Haggerty; Ethan A Smith; Shaun M Kunisaki; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2015-01-31

10.  Evaluation of Abdominal Computed Tomography Image Quality Using a New Version of Vendor-Specific Model-Based Iterative Reconstruction.

Authors:  Corey T Jensen; Morgan E Telesmanich; Nicolaus A Wagner-Bartak; Xinming Liu; John Rong; Janio Szklaruk; Aliya Qayyum; Wei Wei; Adam G Chandler; Eric P Tamm
Journal:  J Comput Assist Tomogr       Date:  2017-01       Impact factor: 1.826

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