Literature DB >> 7134265

The use of phantom views to reduce CT streaks due to insufficient angular sampling.

G H Weiss, A J Talbert, R A Brooks.   

Abstract

An artefact that can occur in CT scans with too few views is the appearance of streaks at some distance from the sharp edge that causes them. We investigate, for parallel beam scanners, the effectiveness of the method of phantom views, as well as other methods of angular interpolation, in diminishing the view-limited streak artefact. The phantom view method consists of inserting data points obtained by interpolation in angle, along with the real data points. We show by a theoretical analysis, as well as by using simulated scans, that the phantom view method does tend to diminish the distant streaks more than other methods tested. Furthermore, we show that there is a point of diminishing returns in increasing the number of phantom views.

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Year:  1982        PMID: 7134265     DOI: 10.1088/0031-9155/27/9/005

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


  5 in total

1.  3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models.

Authors:  S Dhou; M Hurwitz; P Mishra; W Cai; J Rottmann; R Li; C Williams; M Wagar; R Berbeco; D Ionascu; J H Lewis
Journal:  Phys Med Biol       Date:  2015-04-23       Impact factor: 3.609

2.  Regularized optimization (RO) reconstruction for oximetric EPR imaging.

Authors:  Mark Tseitlin; Tomasz Czechowski; Sandra S Eaton; Gareth R Eaton
Journal:  J Magn Reson       Date:  2008-07-10       Impact factor: 2.229

3.  Sinogram + image domain neural network approach for metal artifact reduction in low-dose cone-beam computed tomography.

Authors:  Michael D Ketcha; Michael Marrama; Andre Souza; Ali Uneri; Pengwei Wu; Xiaoxuan Zhang; Patrick A Helm; Jeffrey H Siewerdsen
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-13

4.  A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram.

Authors:  Dimitrios Bellos; Mark Basham; Tony Pridmore; Andrew P French
Journal:  J Synchrotron Radiat       Date:  2019-04-23       Impact factor: 2.616

5.  Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study.

Authors:  Salam Dhou; Mohanad Alkhodari; Dan Ionascu; Christopher Williams; John H Lewis
Journal:  J Imaging       Date:  2022-01-18
  5 in total

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