Literature DB >> 23715466

Effect of shaped filter design on dose and image quality in breast CT.

Ferdinand Lück1, Daniel Kolditz, Martin Hupfer, Willi A Kalender.   

Abstract

The purpose of this study was to investigate the effect of shaped filters specifically designed for dedicated breast computed tomography (CT) scanners on dose and image quality. Optimization of filter shape and material in fan direction was performed using two different design methods, one aiming at homogeneous noise distributions in the CT images and the other aiming at a uniform dose distribution in the breast. The optimal filter thickness as a function of fan angle was determined iteratively to fulfil the above mentioned criteria for each breast diameter. Different filter materials (aluminium, copper, carbon, polytetrafluoroethylene) and breast phantoms with diameters between 80-180 mm were investigated. Noise uniformity in the reconstructed images, obtained from CT simulations based on ray-tracing methods, and dose in the breast, calculated with a Monte Carlo software tool, were used as figure of merit. Furthermore, CT-value homogeneity, the distribution of noise in cone direction, spatial resolution from centre to periphery and the contrast-to-noise ratio weighted by dose (CNRD) were evaluated. In addition, the decrease of scatter due to shaped filters was investigated. Since only few or one filter are practical in clinical CT systems, the effects of one shaped filter for different breast diameters were also investigated. In this case the filter, designed for the largest breast diameter, was simulated at variable source-to-filter distances depending on breast diameter. With the filter design method aiming at uniform noise distribution best results were obtained for aluminium as the filter material. Noise uniformity improved from 20} down to 5} and dose was reduced by about 30-40} for all breast diameters. No decrease of noise uniformity in cone direction, CT-value homogeneity, spatial resolution and the CNRD was detected with the shaped filter. However, a small improvement of CNRD was observed. Furthermore, a scatter reduction of about 20-30} and a more homogeneous scatter distribution were reached which led to reduced cupping artefacts. The simulations with one shaped filter at variable source-to-filter distance resulted in nearly homogeneous noise distributions and comparable dose reduction for all breast diameters. In conclusion, by means of shaped filters designed for breast CT, significant dose reduction can be achieved at unimpaired image quality. One shaped filter designed for the largest breast diameter used with variable source-to-filter distance appears to be the best solution for breast CT.

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Year:  2013        PMID: 23715466     DOI: 10.1088/0031-9155/58/12/4205

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  Characterization of scatter magnitude and distribution in dedicated breast computed tomography with bowtie filters.

Authors:  Kimberly Kontson; Robert J Jennings
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-18

2.  Initial evaluation of image performance of a 3-D x-ray system: phantom-based comparison of 3-D tomography with conventional computed tomography.

Authors:  Robyn Melanie Benz; Meritxell Alzamora Garcia; Felix Amsler; Johannes Voigt; Andreas Fieselmann; Anna Lucja Falkowski; Bram Stieltjes; Anna Hirschmann
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-06

3.  Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Phys Med Biol       Date:  2022-04-07       Impact factor: 4.174

4.  Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Biomed Phys Eng Express       Date:  2020-09-28

5.  A residual dense network assisted sparse view reconstruction for breast computed tomography.

Authors:  Zhiyang Fu; Hsin Wu Tseng; Srinivasan Vedantham; Andrew Karellas; Ali Bilgin
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

  5 in total

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