Literature DB >> 17369872

Modeling and measurement of the detector presampling MTF of a variable resolution x-ray CT scanner.

Roman Melnyk1, Frank A DiBianca.   

Abstract

The detector presampling modulation transfer function (MTF) of a 576-channel variable resolution x-ray (VRX) computed tomography (CT) scanner was evaluated in this study. The scanner employs a VRX detector, which provides increased spatial resolution by matching the scanner's field of view (FOV) to the size of an object being imaged. Because spatial resolution is the parameter the scanner promises to improve, the evaluation of this resolution is important. The scanner's pre-reconstruction spatial resolution, represented by the detector presampling MTF, was evaluated using both modeling (Monte Carlo simulation) and measurement (the moving slit method). The theoretical results show the increase in the cutoff frequency of the detector presampling MTF from 1.39 to 43.38 cycles/mm as the FOV of the VRX CT scanner decreases from 32 to 1 cm. The experimental results are in reasonable agreement with the theoretical data. Some discrepancies between the measured and the modeled detector presampling MTFs can be explained by the limitations of the model. At small FOVs (1-8 cm), the MTF measurements were limited by the size of the focal spot. The obtained results are important for further development of the VRX CT scanner.

Mesh:

Year:  2007        PMID: 17369872      PMCID: PMC1828124          DOI: 10.1118/1.2436977

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


  17 in total

1.  A variable resolution x-ray detector for computed tomography: I. Theoretical basis and experimental verification.

Authors:  F A DiBianca; V Gupta; H D Zeman
Journal:  Med Phys       Date:  2000-08       Impact factor: 4.071

2.  Accuracy of a simple method for deriving the presampled modulation transfer function of a digital radiographic system from an edge image.

Authors:  Egbert Buhr; Susanne Günther-Kohfahl; Ulrich Neitzel
Journal:  Med Phys       Date:  2003-09       Impact factor: 4.071

3.  Signal and noise in modulation transfer function determinations using the slit, wire, and edge techniques.

Authors:  I A Cunningham; B K Reid
Journal:  Med Phys       Date:  1992 Jul-Aug       Impact factor: 4.071

4.  A simple method for determining the modulation transfer function in digital radiography.

Authors:  H Fujita; D Y Tsai; T Itoh; K Doi; J Morishita; K Ueda; A Ohtsuka
Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

5.  Determination of calibration parameters of a VRX CT system using an "Amoeba" algorithm.

Authors:  Lawrence M Jordan; Frank A Dibianca; Roman Melnyk; Apoorva Choudhary; Hemant Shukla; Joseph Laughter; M Waleed Gaber
Journal:  J Xray Sci Technol       Date:  2004       Impact factor: 1.535

6.  Desktop X-ray microscopy and microtomography.

Authors:  A Sasov; D Van Dyck
Journal:  J Microsc       Date:  1998-08       Impact factor: 1.758

7.  A method for measuring the presampled MTF of digital radiographic systems using an edge test device.

Authors:  E Samei; M J Flynn; D A Reimann
Journal:  Med Phys       Date:  1998-01       Impact factor: 4.071

8.  Computation of bremsstrahlung X-ray spectra and comparison with spectra measured with a Ge(Li) detector.

Authors:  R Birch; M Marshall
Journal:  Phys Med Biol       Date:  1979-05       Impact factor: 3.609

9.  Point spread-function, line spread-function, and modulation transfer function. Tools for the study of imaging systems.

Authors:  K Rossmann
Journal:  Radiology       Date:  1969-08       Impact factor: 11.105

10.  Effects of undersampling on the proper interpretation of modulation transfer function, noise power spectra, and noise equivalent quanta of digital imaging systems.

Authors:  J T Dobbins
Journal:  Med Phys       Date:  1995-02       Impact factor: 4.071

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  2 in total

1.  High-resolution computed tomography of single breast cancer microcalcifications in vivo.

Authors:  Kazumasa Inoue; Fangbing Liu; Jack Hoppin; Elaine P Lunsford; Christian Lackas; Jacob Hesterman; Robert E Lenkinski; Hirofumi Fujii; John V Frangioni
Journal:  Mol Imaging       Date:  2011-04-01       Impact factor: 4.488

2.  Impact of ROI Size on the Accuracy of Noise Measurement in CT on Computational and ACR Phantoms.

Authors:  Choirul Anam; Pandji Triadyaksa; Ariij Naufal; Zaenal Arifin; Zaenul Muhlisin; Evi Setiawati; Wahyu Setia Budi
Journal:  J Biomed Phys Eng       Date:  2022-08-01
  2 in total

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