Literature DB >> 26295650

Iterative Reconstruction Leads to Increased Subjective and Objective Image Quality in Cranial CT in Patients With Stroke.

Boris Bodelle1, Julian L Wichmann1, Jan-Eric Scholtz1, Thomas Lehnert1, Thomas J Vogl1, Wolfgang Luboldt1, Boris Schulz1.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether iterative reconstruction improves the quality of cranial CT (CCT) images of stroke patients.
MATERIALS AND METHODS: Fifty-one CCT studies of patients with infarction performed with either a low (260 mAs; n = 21) or standard (340 mAs; n = 30) dose were reconstructed with both filtered back projection (FBP) and sinogram-affirmed iterative reconstruction (SAFIRE) with five strength levels (S1-S5). The resulting six image sets (one FBP and one each for SAFIRE levels S1-S5) were rated separately by two blinded radiologists in terms of conspicuity of infarcted areas on a 5-point scale. Noise and infarct-to-normal brain as well as medullary-to-cortical contrast-to-noise ratios (CNRs) were measured. Ratings, noise, and CNRs were intraindividually compared within the same dose group (Fisher exact test) and interindividually between the different dose groups (Wilcoxon-Mann-Whitney U test).
RESULTS: The strength level S4 showed the best conspicuity of infarcted areas. Compared with FBP, SAFIRE S4 statistically significantly (p < 0.01) reduced noise and improved CNRs without statistically significant differences in all subjective and objective criteria (p > 0.01) when the dose was reduced. Patients examined with a 260-mAs low-dose were exposed to a statistically significantly lower dose (1.77 vs 2.33 mSv; p < 0.01).
CONCLUSION: Iterative reconstruction (SAFIRE at strength level S4) leads to increased subjective and objective image quality in CCT and allows dose reduction (-24%) without losses in the demarcation of ischemic lesions.

Entities:  

Keywords:  MDCT; brain infarction; low dose; radiation safety; sinogram-affirmed iterative reconstruction

Mesh:

Year:  2015        PMID: 26295650     DOI: 10.2214/AJR.15.14389

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


  6 in total

1.  Enhanced gray-white matter differentiation on non-enhanced CT using a frequency selective non-linear blending.

Authors:  Georg Bier; Malte Niklas Bongers; Hendrik Ditt; Benjamin Bender; Ulrike Ernemann; Marius Horger
Journal:  Neuroradiology       Date:  2016-03-10       Impact factor: 2.804

2.  Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study.

Authors:  Hidenori Mitani; Fuminari Tatsugami; Toru Higaki; Yoko Kaichi; Yuko Nakamura; Ewoud Smit; Mathias Prokop; Chiaki Ono; Ken Ono; Yukunori Korogi; Kazuo Awai
Journal:  Neuroradiology       Date:  2021-06-30       Impact factor: 2.804

3.  Radiation dose reduction using 100-kVp and a sinogram-affirmed iterative reconstruction algorithm in adolescent head CT: Impact on grey-white matter contrast and image noise.

Authors:  Yasunori Nagayama; Takeshi Nakaura; Akinori Tsuji; Joji Urata; Mitsuhiro Furusawa; Hideaki Yuki; Kenichiro Hirarta; Masafumi Kidoh; Seitaro Oda; Daisuke Utsunomiya; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2016-12-13       Impact factor: 5.315

4.  Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features.

Authors:  Joseph J Foy; Mena Shenouda; Sahar Ramahi; Samuel Armato; Daniel Thomas Ginat
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-30

5.  Impact of dose reduction and iterative model reconstruction on multi-detector CT imaging of the brain in patients with suspected ischemic stroke.

Authors:  Karolin J Paprottka; Karina Kupfer; Isabelle Riederer; Claus Zimmer; Meinrad Beer; Peter B Noël; Thomas Baum; Jan S Kirschke; Nico Sollmann
Journal:  Sci Rep       Date:  2021-11-15       Impact factor: 4.379

6.  Thin-slice brain CT with iterative model reconstruction algorithm for small lacunar lesions detection: Image quality and diagnostic accuracy evaluation.

Authors:  Xiaoyi Liu; Lei Chen; Weiwei Qi; Yan Jiang; Ying Liu; Miao Zhang; Nan Hong
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.