Literature DB >> 19610298

Determination of point spread function in computed tomography accompanied with verification.

Masaki Ohkubo1, Shinichi Wada, Satoshi Ida, Masayuki Kunii, Akihiro Kayugawa, Toru Matsumoto, Kanae Nishizawa, Kohei Murao.   

Abstract

A method for verifying the point spread function (PSF) measured by computed tomography has been previously reported [Med. Phys. 33, 2757-2764 (2006)]; however, this additional PSF verification following measurement is laborious. In the present study, the previously described verification method was expanded to PSF determination. First, an image was obtained by scanning a phantom. The image was then two-dimensionally deconvolved with the object function corresponding to the phantom structure, thus allowing the PSF to be obtained. Deconvolution is implemented simply by division of spatial frequencies (corresponding to inverse filtering), in which two parameters are used as adjustable ones. Second, an image was simulated by convolving the object function with the obtained PSF, and the simulated image was compared to the above-measured image of the phantom. The difference indicates the inaccuracy of the PSF obtained by deconvolution. As a criterion for evaluating the difference, the authors define the mean normalized standard deviation (SD) in the difference between simulated and measured images. The above two parameters for deconvolution can be adjusted by referring to the subsequent mean normalized SD (i.e., the PSF is determined so that the mean normalized SD is decreased). In this article, the parameters were varied in a fixed range with a constant increment to find the optimal parameter setting that minimizes the mean normalized SD. Using this method, PSF measurements were performed for various types of image reconstruction kernels (21 types) in four kinds of scanners. For the 16 types of kernels, the mean normalized SDs were less than 2.5%, indicating the accuracy of the determined PSFs. For the other five kernels, the mean normalized SDs ranged from 3.7% to 4.8%. This was because of a large amount of noise in the measured images, and the obtained PSFs would essentially be accurate. The method effectively determines the PSF, with an accompanying verification, after one scanning of a phantom.

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Year:  2009        PMID: 19610298     DOI: 10.1118/1.3123762

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry.

Authors:  Ayumu Funaki; Masaki Ohkubo; Shinichi Wada; Kohei Murao; Toru Matsumoto; Shinji Niizuma
Journal:  Radiol Phys Technol       Date:  2012-03-25

2.  A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.

Authors:  Hajime Kobayashi; Masaki Ohkubo; Akihiro Narita; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shusuke Sone; Shinichi Wada
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

3.  Observer-independent nodule-detectability index for low-dose lung cancer screening CT: a pilot study.

Authors:  Masaki Ohkubo; Shinichi Wada; Satoshi Kanai; Kazuhiro Ishikawa; Janaka C Marasinghe; Toru Matsumoto
Journal:  Radiol Phys Technol       Date:  2013-06-09

4.  Improved scan method for dental imaging using multidetector computed tomography: a phantom study.

Authors:  Yuki Sakai; Kazutoshi Okamura; Erina Kitamoto; Yukiko N Kami; Takashi Shirasaka; Ryoji Mikayama; Masato Tatsumi; Masatoshi Kondo; Toyoyuki Kato; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-04-29       Impact factor: 2.419

5.  Accuracy of lung nodule density on HRCT: analysis by PSF-based image simulation.

Authors:  Ken Ohno; Masaki Ohkubo; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shinichi Wada
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

6.  A pitfall of using the circular-edge technique with image averaging for spatial resolution measurement in iteratively reconstructed CT images.

Authors:  Akihiro Narita; Masaki Ohkubo
Journal:  J Appl Clin Med Phys       Date:  2020-01-20       Impact factor: 2.102

  6 in total

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