Literature DB >> 28448422

Iterative Reconstruction Designed for Brain CT: A Correlative Study With Filtered Back Projection for the Diagnosis of Acute Ischemic Stroke.

Yuji Iyama1, Takeshi Nakaura, Seitaro Oda, Masafumi Kidoh, Daisuke Utsunomiya, Morikatsu Yoshida, Hideaki Yuki, Kenichiro Hirata, Yoshinori Funama, Kazunori Harada, Kazuo Awai, Toshinori Hirai, Yasuyuki Yamashita.   

Abstract

OBJECTIVES: The objective of this study is to evaluate the usefulness of iterative model reconstruction designed for brain computed tomography (CT) (IMR-Neuro) for the diagnosis of acute ischemic stroke.
METHODS: This retrospective study included 20 patients with acute middle cerebral artery infarction who have undergone brain CT and 20 nonstroke patients (control). We reconstructed axial images with filtered back projection (FBP) and IMR-Neuro (slice thickness, 1 and 5 mm). We compared the CT number of the infarcted area, the image noise, contrast, and the contrast to noise ratio of the infarcted and the noninfarcted areas between the different reconstruction methods. We compared the performance of 10 radiologists in the detection of parenchymal hypoattenuation between 2 techniques using the receiver operating characteristic (ROC) techniques with the jackknife method.
RESULTS: The image noise was significantly lower with IMR-Neuro [5 mm: 2.5 Hounsfield units (HU) ± 0.5, 1 mm: 3.9 HU ± 0.5] than with FBP (5 mm: 4.9 HU ± 0.5, 1 mm: 10.1 HU ± 1.4) (P < 0.01). The contrast to noise ratio was significantly greater with IMR-Neuro (5 mm: 2.6 ± 2.1, 1 mm: 1.6 ± 1.3) than with FBP (5 mm: 1.2 ± 1.0; 1 mm: 0.6 ± 0.5) (P < 0.01). The value of the average area under the receiver operating curve was significantly higher with IMR-Neuro than FBP (5 mm: 0.79 vs 0.74, P = 0.04; 1 mm: 0.76 vs 0.69, P = 0.04).
CONCLUSIONS: Compared with FBP, IMR-Neuro improves the image quality and the performance for the detection of parenchymal hypoattenuation with acute ischemic stroke.

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Mesh:

Year:  2017        PMID: 28448422     DOI: 10.1097/RCT.0000000000000626

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  6 in total

1.  Optimal slice thickness of brain computed tomography using a hybrid iterative reconstruction algorithm for identifying hyperdense middle cerebral artery sign of acute ischemic stroke.

Authors:  Shota Ichikawa; Misaki Hamada; Daiki Watanabe; Osamu Ito; Takafumi Moriya; Hiroyuki Yamamoto
Journal:  Emerg Radiol       Date:  2020-10-14

2.  Dose Reduction While Preserving Diagnostic Quality in Head CT: Advancing the Application of Iterative Reconstruction Using a Live Animal Model.

Authors:  F D Raslau; E J Escott; J Smiley; C Adams; D Feigal; H Ganesh; C Wang; J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-10       Impact factor: 3.825

3.  Model-Based Iterative Reconstruction (MBIR) for ASPECT Scoring in Acute Stroke Patients Selection: Comparison to rCBV and Follow-Up Imaging.

Authors:  Brieg Dissaux; Mourad Cheddad El Aouni; Julien Ognard; Jean-Christophe Gentric
Journal:  Tomography       Date:  2022-05-05

4.  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

5.  Model-based reconstruction algorithm in the detection of acute trauma-related lesions in brain CT examinations.

Authors:  Andrea De Vito; Cesare Maino; Sophie Lombardi; Maria Ragusi; Cammillo Talei Franzesi; Davide Ippolito; Sandro Sironi
Journal:  Neuroradiol J       Date:  2021-04-19

6.  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 in total

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