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

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.

[1]  K. Rossmann Point spread-function, line spread-function, and modulation transfer function. Tools for the study of imaging systems. , 1969, Radiology.

[2]  J. Boone,et al.  Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner. , 2006, Medical physics.

[3]  Ruola Ning,et al.  Pitfalls in point-spread-function measurement of computed tomographic system by microphantom reconstruction , 2005 .

[4]  Y Shen,et al.  The use of deblurring technique for improving the longitudinal resolution in helical CT of the head and neck region. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[5]  Claire McCann,et al.  Comparative evaluation of image quality from three CT simulation scanners , 2004, Journal of applied clinical medical physics.

[6]  Toru Matsumoto,et al.  An effective method to verify line and point spread functions measured in computed tomography. , 2006, Medical physics.

[7]  Wiro J Niessen,et al.  Imaging of small high-density structures in CT A phantom study. , 2006, Academic radiology.

[8]  C H McCollough,et al.  Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT. , 2007, Medical physics.

[9]  E L Nickoloff,et al.  Measurement of the PSF for a CT scanner: appropriate wire diameter and pixel size. , 1988, Physics in medicine and biology.

[10]  M W Skinner,et al.  Temporal bone volumetric image deblurring in spiral computed tomography scanning. , 1995, Academic radiology.

[11]  Rik Stokking,et al.  Histogram-Based Selective Deblurring to Improve Computed Tomography Imaging of Calcifications , 2007, Investigative radiology.

[12]  G Dougherty Effect of sub-pixel misregistration on the determination of the point spread function of a CT imaging system. , 2000, Medical engineering & physics.

[13]  H. Genant,et al.  Accuracy of CT-based thickness measurement of thin structures: modeling of limited spatial resolution in all three dimensions. , 2002, Medical physics.

[14]  J. Ehrhardt,et al.  Modulation transfer function of the EMI CT head scanner. , 1977, Medical physics.

[15]  N. Kiryati,et al.  The point spread function of spiral CT. , 2005, Physics in medicine and biology.

[16]  R. Ning,et al.  Three-dimensional point spread function measurement of cone-beam computed tomography system by iterative edge-blurring algorithm. , 2004, Physics in medicine and biology.

[17]  Miwa Okumura,et al.  Improvement of spatial resolution in the longitudinal direction for isotropic imaging in helical CT , 2007, Physics in medicine and biology.

[18]  Toru Matsumoto,et al.  Imaging of small spherical structures in CT: simulation study using measured point spread function , 2007, Medical & Biological Engineering & Computing.

[19]  J M Boone,et al.  Determination of the presampled MTF in computed tomography. , 2001, Medical physics.

[20]  E L Nickoloff,et al.  A simplified approach for modulation transfer function determinations in computed tomography. , 1985, Medical physics.

[21]  G Wang,et al.  Longitudinal image deblurring in spiral CT. , 1994, Radiology.

[22]  Ge Wang,et al.  Spiral CT image deblurring for cochlear implantation , 1998, IEEE Transactions on Medical Imaging.