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TITLE:
Usefulness of an Anisotropic Diffusion Method in Cerebral CT Perfusion Study Using Multi-Detector Row CT
AUTHORS:
Kenya Murase, Takafumi Nanjo, Yoshifumi Sugawara, Masaaki Hirata, Teruhito Mochizuki
KEYWORDS:
Anisotropic Diffusion Method, Cerebral CT Perfusion Study, Multi-Detector Row CT, Radiation Exposure
JOURNAL NAME:
Open Journal of Medical Imaging,
Vol.5 No.3,
September
2,
2015
ABSTRACT: Purpose: To present an application of the anisotropic diffusion (AD) method to improve the accuracy of the functional images of perfusion parameters such as cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) generated from cerebral CT perfusion studies using multi-detector row CT (MDCT). Materials and Methods: Continuous scans (1 sec/rotation ×60 sec) consisting of four 5-mm-thick contiguous slices were acquired after an intravenous injection of iodinated contrast material in 6 patients with cerebrovascular disease using an MDCT scanner with a tube voltage of 80 kVp and a tube current of 200 mA. New image data were generated by thinning out the above original images at an interval of 2 sec or 3 sec. The thinned-out images were then interpolated by linear interpolation to generate the same number of images as originally acquired. The CBF, CBV and MTT images were generated using deconvolution analysis based on singular value decomposition. Results: When using the AD method, the correlation coefficient between the MTT values obtained from the original and thinned-out images was significantly improved. Furthermore, the coefficients of variation of the CBF, CBV and MTT values in the white matter significantly decreased as compared to not using the AD method. Conclusion: Our results suggest that the AD method is useful for improving the accuracy of the functional images of perfusion parameters and for reducing radiation exposure in cerebral CT perfusion studies using MDCT.
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Naoki Fukuyama, Teruhito Kido, Akira Kurata, Yuki Tanabe, Tomoyuki Kido, Takahiro Yokoi, Ryo Ogawa, Hikaru Nishiyama, Teruyoshi Uetani, Teruhito Mochizuki
DOI:
10.4236/ojrad.2017.71002
1,880 Downloads 3,379 Views Citations
Pub. Date:
March
1,
2017
