Literature DB >> 23901128

Pediatric CT: implementation of ASIR for substantial radiation dose reduction while maintaining pre-ASIR image noise.

Samuel L Brady1, Bria M Moore, Brian S Yee, Robert A Kaufman.   

Abstract

PURPOSE: To determine a comprehensive method for the implementation of adaptive statistical iterative reconstruction (ASIR) for maximal radiation dose reduction in pediatric computed tomography (CT) without changing the magnitude of noise in the reconstructed image or the contrast-to-noise ratio (CNR) in the patient.
MATERIALS AND METHODS: The institutional review board waived the need to obtain informed consent for this HIPAA-compliant quality analysis. Chest and abdominopelvic CT images obtained before ASIR implementation (183 patient examinations; mean patient age, 8.8 years ± 6.2 [standard deviation]; range, 1 month to 27 years) were analyzed for image noise and CNR. These measurements were used in conjunction with noise models derived from anthropomorphic phantoms to establish new beam current-modulated CT parameters to implement 40% ASIR at 120 and 100 kVp without changing noise texture or magnitude. Image noise was assessed in images obtained after ASIR implementation (492 patient examinations; mean patient age, 7.6 years ± 5.4; range, 2 months to 28 years) the same way it was assessed in the pre-ASIR analysis. Dose reduction was determined by comparing size-specific dose estimates in the pre- and post-ASIR patient cohorts. Data were analyzed with paired t tests.
RESULTS: With 40% ASIR implementation, the average relative dose reduction for chest CT was 39% (2.7/4.4 mGy), with a maximum reduction of 72% (5.3/18.8 mGy). The average relative dose reduction for abdominopelvic CT was 29% (4.8/6.8 mGy), with a maximum reduction of 64% (7.6/20.9 mGy). Beam current modulation was unnecessary for patients weighing 40 kg or less. The difference between 0% and 40% ASIR noise magnitude was less than 1 HU, with statistically nonsignificant increases in patient CNR at 100 kVp of 8% (15.3/14.2; P = .41) for chest CT and 13% (7.8/6.8; P = .40) for abdominopelvic CT.
CONCLUSION: Radiation dose reduction at pediatric CT was achieved when 40% ASIR was implemented as a dose reduction tool only; no net change to the magnitude of noise in the reconstructed image or the patient CNR occurred. © RSNA, 2013.

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Year:  2013        PMID: 23901128      PMCID: PMC4489555          DOI: 10.1148/radiol.13122578

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


  16 in total

1.  Impact of operator-selected image noise index and reconstruction slice thickness on patient radiation dose in 64-MDCT.

Authors:  Kalpana M Kanal; Brent K Stewart; Orpheus Kolokythas; William P Shuman
Journal:  AJR Am J Roentgenol       Date:  2007-07       Impact factor: 3.959

2.  Impact of Adaptive Statistical Iterative Reconstruction (ASIR) on radiation dose and image quality in aortic dissection studies: a qualitative and quantitative analysis.

Authors:  Daniel Cornfeld; Gary Israel; Ezra Detroy; Jamal Bokhari; Hamid Mojibian
Journal:  AJR Am J Roentgenol       Date:  2011-03       Impact factor: 3.959

Review 3.  Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.

Authors:  Alvin C Silva; Holly J Lawder; Amy Hara; Jennifer Kujak; William Pavlicek
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

4.  Towards task-based assessment of CT performance: system and object MTF across different reconstruction algorithms.

Authors:  Samuel Richard; Daniela B Husarik; Girijesh Yadava; Simon N Murphy; Ehsan Samei
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

5.  Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience.

Authors:  Priyanka Prakash; Mannudeep K Kalra; Subba R Digumarthy; Jiang Hsieh; Homer Pien; Sarabjeet Singh; Matthew D Gilman; Jo-Anne O Shepard
Journal:  J Comput Assist Tomogr       Date:  2010-01       Impact factor: 1.826

6.  A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction.

Authors:  Jonathon Leipsic; Giang Nguyen; Jaqueline Brown; Don Sin; John R Mayo
Journal:  AJR Am J Roentgenol       Date:  2010-11       Impact factor: 3.959

7.  Reducing abdominal CT radiation dose with the adaptive statistical iterative reconstruction technique in children: a feasibility study.

Authors:  Gregory A Vorona; Rafael C Ceschin; Barbara L Clayton; Tom Sutcavage; Sameh S Tadros; Ashok Panigrahy
Journal:  Pediatr Radiol       Date:  2011-05-19

8.  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

Review 9.  Strategies for CT radiation dose optimization.

Authors:  Mannudeep K Kalra; Michael M Maher; Thomas L Toth; Leena M Hamberg; Michael A Blake; Jo-Anne Shepard; Sanjay Saini
Journal:  Radiology       Date:  2004-01-22       Impact factor: 11.105

10.  Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm--initial clinical experience.

Authors:  Daniele Marin; Rendon C Nelson; Sebastian T Schindera; Samuel Richard; Richard S Youngblood; Terry T Yoshizumi; Ehsan Samei
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

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  20 in total

1.  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

2.  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

3.  Full Dose-Reduction Potential of Statistical Iterative Reconstruction for Head CT Protocols in a Predominantly Pediatric Population.

Authors:  A E Mirro; S L Brady; R A Kaufman
Journal:  AJNR Am J Neuroradiol       Date:  2016-04-07       Impact factor: 3.825

4.  Size-specific dose estimate (SSDE) provides a simple method to calculate organ dose for pediatric CT examinations.

Authors:  Bria M Moore; Samuel L Brady; Amy E Mirro; Robert A Kaufman
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

Review 5.  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

Review 6.  Iterative reconstruction: how it works, how to apply it.

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

7.  Radiation dose and image quality in pediatric chest CT: effects of iterative reconstruction in normal weight and overweight children.

Authors:  Haesung Yoon; Myung-Joon Kim; Choon-Sik Yoon; Jiin Choi; Hyun Joo Shin; Hyun Gi Kim; Mi-Jung Lee
Journal:  Pediatr Radiol       Date:  2014-09-26

8.  Assessment of noise reduction potential and image quality improvement of a new generation adaptive statistical iterative reconstruction (ASIR-V) in chest CT.

Authors:  Hui Tang; Nan Yu; Yongjun Jia; Yong Yu; Haifeng Duan; Dong Han; Guangming Ma; Chenglong Ren; Taiping He
Journal:  Br J Radiol       Date:  2017-11-16       Impact factor: 3.039

9.  The role of chest computed tomography (CT) as a surveillance tool in children with high-risk neuroblastoma.

Authors:  Sara M Federico; Samuel L Brady; Alberto Pappo; Jianrong Wu; Shenghua Mao; Valerie J McPherson; Alison Young; Wayne L Furman; Robert Kaufman; Sue Kaste
Journal:  Pediatr Blood Cancer       Date:  2015-01-13       Impact factor: 3.167

Review 10.  Overview of CT technologies for children.

Authors:  Donald P Frush
Journal:  Pediatr Radiol       Date:  2014-10-11
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