Literature DB >> 29429016

Usefulness of model-based iterative reconstruction in semi-automatic volumetry for ground-glass nodules at ultra-low-dose CT: a phantom study.

Shuki Maruyama1, Yasuhiro Fukushima2, Yuta Miyamae3, Koji Koizumi2.   

Abstract

This study aimed to investigate the effects of parameter presets of the forward projected model-based iterative reconstruction solution (FIRST) on the accuracy of pulmonary nodule volume measurement. A torso phantom with simulated nodules [diameter: 5, 8, 10, and 12 mm; computed tomography (CT) density: - 630 HU] was scanned with a multi-detector CT at tube currents of 10 mA (ultra-low-dose: UL-dose) and 270 mA (standard-dose: Std-dose). Images were reconstructed with filtered back projection [FBP; standard (Std-FBP), ultra-low-dose (UL-FBP)], FIRST Lung (UL-Lung), and FIRST Body (UL-Body), and analyzed with a semi-automatic software. The error in the volume measurement was determined. The errors with UL-Lung and UL-Body were smaller than that with UL-FBP. The smallest error was 5.8% ± 0.3 for the 12-mm nodule with UL-Body (middle lung). Our results indicated that FIRST Body would be superior to FIRST Lung in terms of accuracy of nodule measurement with UL-dose CT.

Keywords:  Iterative reconstruction; Low-dose CT; Lung cancer; Pulmonary nodule; Volumetry

Mesh:

Year:  2018        PMID: 29429016     DOI: 10.1007/s12194-018-0442-9

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  19 in total

1.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

2.  Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT.

Authors:  Xin Sui; Felix G Meinel; Wei Song; Xiaoli Xu; Zixing Wang; Yuyan Wang; Zhengyu Jin; Jiuhong Chen; Rozemarijn Vliegenthart; U Joseph Schoepf
Journal:  Eur J Radiol       Date:  2015-12-21       Impact factor: 3.528

3.  Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).

Authors:  Baiyu Chen; Huiman Barnhart; Samuel Richard; Marthony Robins; James Colsher; Ehsan Samei
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

4.  State of the Art: Iterative CT Reconstruction Techniques.

Authors:  Lucas L Geyer; U Joseph Schoepf; Felix G Meinel; John W Nance; Gorka Bastarrika; Jonathon A Leipsic; Narinder S Paul; Marco Rengo; Andrea Laghi; Carlo N De Cecco
Journal:  Radiology       Date:  2015-08       Impact factor: 11.105

5.  Lung cancer screening with ultra-low dose CT using full iterative reconstruction.

Authors:  Masayo Fujita; Toru Higaki; Yoshikazu Awaya; Toshio Nakanishi; Yuko Nakamura; Fuminari Tatsugami; Yasutaka Baba; Makoto Iida; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2017-02-14       Impact factor: 2.374

6.  Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.

Authors:  Eui Jin Hwang; Jin Mo Goo; Jihye Kim; Sang Joon Park; Soyeon Ahn; Chang Min Park; Yeong-Gil Shin
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

7.  Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.

Authors:  K W Doo; E-Y Kang; H S Yong; O H Woo; K Y Lee; Y-W Oh
Journal:  Br J Radiol       Date:  2014-07-16       Impact factor: 3.039

8.  Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study.

Authors:  Hyungjin Kim; Chang Min Park; Yong Sub Song; Sang Min Lee; Jin Mo Goo
Journal:  Eur J Radiol       Date:  2014-02-07       Impact factor: 3.528

9.  Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.

Authors:  Yoshiharu Ohno; Atsushi Yaguchi; Tomoya Okazaki; Kota Aoyagi; Hitoshi Yamagata; Naoki Sugihara; Hisanobu Koyama; Takeshi Yoshikawa; Kazuro Sugimura
Journal:  Eur J Radiol       Date:  2016-05-13       Impact factor: 3.528

10.  Managing patient dose in multi-detector computed tomography(MDCT). ICRP Publication 102.

Authors:  J Valentin
Journal:  Ann ICRP       Date:  2007
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  4 in total

1.  Changes in quantitative parameters of pulmonary nonsolid nodule induced by lung inflation according to paired inspiratory and expiratory computed tomography imaging.

Authors:  Li Fan; QingChu Li; WenTing Tu; RuTan Chen; Yi Xia; Yu Pu; ZhaoBin Li; ShiYuan Liu
Journal:  Eur Radiol       Date:  2019-01-28       Impact factor: 5.315

2.  Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study.

Authors:  Seung Kwan Kim; Cherry Kim; Ki Yeol Lee; Jaehyung Cha; Hyun Ju Lim; Eun Young Kang; Yu Whan Oh
Journal:  Korean J Radiol       Date:  2019-07       Impact factor: 3.500

3.  Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv?

Authors:  Azadeh Tabari; Singh Ramandeep; Ruhani Doda Khera; Yiemeng Hoi; Erin Angel; Mannudeep K Kalra; Rachna Madan
Journal:  Eur J Radiol Open       Date:  2019-06-21

4.  Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification.

Authors:  Mohammad Reza Choopani; Iraj Abedi; Fatemeh Dalvand
Journal:  J Med Signals Sens       Date:  2022-07-26
  4 in total

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