Literature DB >> 27422374

Objective assessment of low-contrast computed tomography images with iterative reconstruction.

Atsushi Urikura1, Takanori Hara2, Katsuhiro Ichikawa3, Eiji Nishimaru4, Takashi Hoshino5, Tsukasa Yoshida6, Yoshihiro Nakaya7.   

Abstract

OBJECTIVE: This study aims to assess low-contrast image quality using a low-contrast object specific contrast-to-noise ratio (CNRLO) analysis for iterative reconstruction (IR) computed tomography (CT) images.
METHODS: A phantom composed of low-contrast rods placed in a uniform material was used in this study. Images were reconstructed using filtered back projection (FBP) and IR (Adaptive Iterative Dose Reduction 3D). Scans were performed at six dose levels: 1.0, 1.8, 3.1, 4.6, 7.1 and 13.3mGy. Objective image quality was assessed by comparing CNRLO with CNR using a human observer test.
RESULTS: Compared with FBP, IR yielded increased CNR at the same dose levels. The results of CNRLO and observer tests showed similarities or only marginal differences between FBP and IR at the same dose levels. The coefficient of determination for CNRLO was significantly better (R(2)=0.86) than that of CNR (R(2)=0.47).
CONCLUSION: For IR, CNRLO could potentially serve as an objective index reflective of a human observer assessment. The results of CNRLO test indicated that the IR algorithm was not superior to FBP in terms of low-contrast detectability at the same radiation doses.
Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Detectability; Image quality; Image reconstruction; Radiation dosage

Mesh:

Year:  2016        PMID: 27422374     DOI: 10.1016/j.ejmp.2016.07.003

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

1.  Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study.

Authors:  Kazuya Minamishima; Koichi Sugisawa; Yoshitake Yamada; Masahiro Jinzaki
Journal:  J Appl Clin Med Phys       Date:  2018-02-28       Impact factor: 2.102

2.  Visualization of thrombus using iterative reconstruction and maximum intensity projection of thin-slice CT images.

Authors:  Yuya Kobayashi; Teruya Morizumi; Gaku Okumura; Kiyoshiro Nagamatsu; Yusaku Shimizu; Tetsuo Sasaki; Atsushi Sato; Yoshiki Sekijima; Kazuhiro Hongo
Journal:  Neuroradiology       Date:  2022-06-16       Impact factor: 2.995

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.