Literature DB >> 23292530

Improved delineation of arteries in the posterior fossa of the brain by model-based iterative reconstruction in volume-rendered 3D CT angiography.

H Machida1, H Takeuchi, I Tanaka, R Fukui, Y Shen, E Ueno, S Suzuki, X-Z Lin.   

Abstract

BACKGROUND AND
PURPOSE: Improved CTA delineation of arteries and unruptured aneurysms is clinically desired in the posterior fossa. We present a novel model-based iterative reconstruction that models system statistics and optics to improve CT image quality. We investigated the utility of MBIR for improving delineation of arteries in the posterior fossa on 3D brain CTA.
MATERIALS AND METHODS: Using filtered back-projection with a standard kernel and MBIR, we reconstructed axial images of 0.625-mm thickness of 28 consecutive patients (14 men; mean age, 58.6 ± 14.6 years) who underwent 64-detector brain CTA. We placed regions of interest on the axial images, measured the mean CT value in the basilar artery and the value and SD in the pons and bilateral cerebellar hemispheres, and calculated the contrast-to-noise ratio of the brain arteries in the posterior fossa. Using volume-rendered CTA and a 4-point scale, 2 radiologists independently graded delineation of the BA, bilateral vertebral artery, superior cerebellar artery, and anterior and posterior inferior cerebellar arteries. We compared the results between FBP and MBIR by using paired t and Wilcoxon signed-rank tests.
RESULTS: Compared with FBP, MBIR significantly improved the contrast-to-noise ratio (P < .0001) and subjective delineation of all arteries in the posterior fossa except the BA (VA, SCA, AICA, and PICA; P < .05 for all). The mean visual score by MBIR was 3.0 or higher for all those arteries except the AICA assessed by reader 1 (2.6 ± 0.7).
CONCLUSIONS: With 3D brain CTA, contrast-to-noise ratio and arterial delineation of the VA, SCA, AICA, and PICA in the posterior fossa are better with MBIR than FBP.

Entities:  

Mesh:

Year:  2013        PMID: 23292530      PMCID: PMC7964640          DOI: 10.3174/ajnr.A3320

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  28 in total

1.  The usefulness of 3D-CT angiography for the diagnosis of spontaneous vertebral artery dissection-report of two cases.

Authors:  Y Kurokawa; Y Yonemasu; H Kano; T Sasaki; K Inaba
Journal:  Comput Med Imaging Graph       Date:  2000 Mar-Apr       Impact factor: 4.790

2.  Statistical image reconstruction for polyenergetic X-ray computed tomography.

Authors:  Idris A Elbakri; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2002-02       Impact factor: 10.048

3.  Measurement of vascular diameter in vitro by automated software for CT angiography: effects of inner diameter, density of contrast medium, and convolution kernel.

Authors:  Shigeru Suzuki; Shigeru Furui; Tatsuro Kaminaga; Teiyu Yamauchi
Journal:  AJR Am J Roentgenol       Date:  2004-05       Impact factor: 3.959

4.  Accuracy of automated CT angiography measurement of vascular diameter in phantoms: effect of size of display field of view, density of contrast medium, and wall thickness.

Authors:  Shigeru Suzuki; Shigeru Furui; Tatsuro Kaminaga
Journal:  AJR Am J Roentgenol       Date:  2005-06       Impact factor: 3.959

5.  Cranial CT with 64-, 16-, 4- and single-slice CT systems-comparison of image quality and posterior fossa artifacts in routine brain imaging with standard protocols.

Authors:  Birgit Ertl-Wagner; Lara Eftimov; Jeffrey Blume; Roland Bruening; Christoph Becker; Jean Cormack; Hartmut Brueckmann; Maximilian Reiser
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

6.  High-resolution computed tomography of the basilar artery: 1. Normal size and position.

Authors:  W R Smoker; M J Price; W D Keyes; J J Corbett; L R Gentry
Journal:  AJNR Am J Neuroradiol       Date:  1986 Jan-Feb       Impact factor: 3.825

7.  Correction for beam hardening in computed tomography.

Authors:  G T Herman
Journal:  Phys Med Biol       Date:  1979-01       Impact factor: 3.609

8.  Nonlinear partial volume artifacts in x-ray computed tomography.

Authors:  G H Glover; N J Pelc
Journal:  Med Phys       Date:  1980 May-Jun       Impact factor: 4.071

9.  Complementary use of computed tomographic angiography in treatment planning for posterior fossa subarachnoid hemorrhage.

Authors:  Mario N Carvi y Nievas; Eberhard Haas; Hans-Georg Höllerhage; Christian Drathen
Journal:  Neurosurgery       Date:  2002-06       Impact factor: 4.654

10.  Evaluation of cerebral aneurysms with helical CT: correlation with conventional angiography and MR angiography.

Authors:  R B Schwartz; H M Tice; S M Hooten; L Hsu; P E Stieg
Journal:  Radiology       Date:  1994-09       Impact factor: 11.105

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  17 in total

1.  Effects of a high-pitch protocol and a hybrid iterative reconstruction algorithm on image quality of cerebral subtracted 3D CT angiography.

Authors:  Yuji Iyama; Takeshi Nakaura; Masafumi Kidoh; Naoto Kiyota; Shouzaburou Uemura; Kazunori Harada; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2015-09-19       Impact factor: 2.374

2.  Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging.

Authors:  Takeshi Nakaura; Yuji Iyama; Masafumi Kidoh; Koichi Yokoyama; Seitaro Oda; Shinichi Tokuyasu; Kazunori Harada; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2015-12-29       Impact factor: 2.804

3.  The feasibility of a 64-slice MDCT for detection of the Adamkiewicz artery: comparison of the detection rate of intravenous injection CT angiography using a 64-slice MDCT versus intra-arterial and intravenous injection CT angiography using a 16-slice MDCT.

Authors:  Tatsuya Nishii; Atsushi K Kono; Noriyuki Negi; Hiromi Hashimura; Kensuke Uotani; Yutaka Okita; Kazuro Sugimura
Journal:  Int J Cardiovasc Imaging       Date:  2013-10-01       Impact factor: 2.357

4.  Radiation dose reduction in cerebral CT perfusion imaging using iterative reconstruction.

Authors:  Joris M Niesten; Irene C van der Schaaf; Alan J Riordan; Hugo W A M de Jong; Alexander D Horsch; Daniel Eijspaart; Ewoud J Smit; Willem P T M Mali; Birgitta K Velthuis
Journal:  Eur Radiol       Date:  2013-10-15       Impact factor: 5.315

5.  Cerebral computed tomography angiography using a 70 kVp protocol: improved vascular enhancement with a reduced volume of contrast medium and radiation dose.

Authors:  Eun-Suk Cho; Tae-Sub Chung; Sung Jun Ahn; KyoungHoon Chong; Jang Hun Baek; Sang Hyun Suh
Journal:  Eur Radiol       Date:  2014-12-16       Impact factor: 5.315

6.  Reduction of metal artifacts due to dental hardware in computed tomography angiography: assessment of the utility of model-based iterative reconstruction.

Authors:  Keita Kuya; Yuki Shinohara; Ayumi Kato; Makoto Sakamoto; Masamichi Kurosaki; Toshihide Ogawa
Journal:  Neuroradiology       Date:  2017-03-02       Impact factor: 2.804

7.  "Hyperdense artery sign" in early ischemic stroke: diagnostic value of model-based reconstruction approach in comparison with standard hybrid iterative reconstruction algorithm.

Authors:  Sophie Lombardi; Luca Riva; Mirko Patassini; Paolo Remida; Cristina Capraro; Francesco Canonico; Cammillo Talei Franzesi; Davide Ippolito
Journal:  Neuroradiology       Date:  2018-09-08       Impact factor: 2.804

8.  CT angiography after carotid artery stenting: assessment of the utility of adaptive statistical iterative reconstruction and model-based iterative reconstruction.

Authors:  Keita Kuya; Yuki Shinohara; Makoto Sakamoto; Naoki Iwata; Junichi Kishimoto; Shinya Fujii; Toshio Kaminou; Takashi Watanabe; Toshihide Ogawa
Journal:  Neuroradiology       Date:  2014-08-13       Impact factor: 2.804

9.  Impact of model-based iterative reconstruction on image quality of contrast-enhanced neck CT.

Authors:  S Gaddikeri; J B Andre; J Benjert; D S Hippe; Y Anzai
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-09       Impact factor: 3.825

10.  Photon-Counting Computed Tomography for Vascular Imaging of the Head and Neck: First In Vivo Human Results.

Authors:  Rolf Symons; Daniel S Reich; Mohammadhadi Bagheri; Tyler E Cork; Bernhard Krauss; Stefan Ulzheimer; Steffen Kappler; David A Bluemke; Amir Pourmorteza
Journal:  Invest Radiol       Date:  2018-03       Impact factor: 6.016

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