Literature DB >> 24450687

Optimization of hybrid iterative reconstruction level in pediatric body CT.

Boaz Karmazyn1, Yun Liang, Huisi Ai, George J Eckert, Mervyn D Cohen, Matthew R Wanner, S Gregory Jennings.   

Abstract

OBJECTIVE: The objective of our study was to attempt to optimize the level of hybrid iterative reconstruction (HIR) in pediatric body CT.
MATERIALS AND METHODS: One hundred consecutive chest or abdominal CT examinations were selected. For each examination, six series were obtained: one filtered back projection (FBP) and five HIR series (iDose(4)) levels 2-6. Two pediatric radiologists, blinded to noise measurements, independently chose the optimal HIR level and then rated series quality. We measured CT number (mean in Hounsfield units) and noise (SD in Hounsfield units) changes by placing regions of interest in the liver, muscles, subcutaneous fat, and aorta. A mixed-model analysis-of-variance test was used to analyze correlation of noise reduction with the optimal HIR level compared with baseline FBP noise.
RESULTS: One hundred CT examinations were performed of 88 patients (52 females and 36 males) with a mean age of 8.5 years (range, 19 days-18 years); 12 patients had both chest and abdominal CT studies. Radiologists agreed to within one level of HIR in 92 of 100 studies. The mean quality rating was significantly higher for HIR than FBP (3.6 vs 3.3, respectively; p < 0.01). HIR caused minimal (0-0.2%) change in CT numbers. Noise reduction varied among structures and patients. Liver noise reduction positively correlated with baseline noise when the optimal HIR level was used (p < 0.01). HIR levels were significantly correlated with body weight and effective diameter of the upper abdomen (p < 0.01).
CONCLUSION: HIR, such as iDose(4), improves the quality of body CT scans of pediatric patients by decreasing noise; HIR level 3 or 4 is optimal for most studies. The optimal HIR level was less effective in reducing liver noise in children with lower baseline noise.

Entities:  

Mesh:

Year:  2014        PMID: 24450687     DOI: 10.2214/AJR.13.10721

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  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

Review 2.  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

3.  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

4.  Fine focal spot size improves image quality in computed tomography abdomen and pelvis.

Authors:  Yin P Goh; Kenneth K Lau; Keat Low; Kevin Buchan; Lawrence Chia Wei Oh; Ahilan Kuganesan; Minh Huynh
Journal:  Eur Radiol       Date:  2016-03-14       Impact factor: 5.315

5.  Application of Vendor-Neutral Iterative Reconstruction Technique to Pediatric Abdominal Computed Tomography.

Authors:  Woo Hyeon Lim; Young Hun Choi; Ji Eun Park; Yeon Jin Cho; Seunghyun Lee; Jung Eun Cheon; Woo Sun Kim; In One Kim; Jong Hyo Kim
Journal:  Korean J Radiol       Date:  2019-09       Impact factor: 3.500

6.  Quantum Iterative Reconstruction for Low-Dose Ultra-High-Resolution Photon-Counting Detector CT of the Lung.

Authors:  Thomas Sartoretti; Damien Racine; Victor Mergen; Lisa Jungblut; Pascal Monnin; Thomas G Flohr; Katharina Martini; Thomas Frauenfelder; Hatem Alkadhi; André Euler
Journal:  Diagnostics (Basel)       Date:  2022-02-18
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.