Literature DB >> 28097212

Feasibility of reduced-dose three-dimensional/four-dimensional-digital subtraction angiogram using a weighted edge preserving filter.

Erick L Oberstar1, Michael A Speidel2, Brian J Davis1, Charles M Strother3, Charles A Mistretta4.   

Abstract

A conventional three-dimensional/four-dimensional (3D/4D) digital subtraction angiogram (DSA) requires two rotational acquisitions (mask and fill) to compute the log-subtracted projections that are used to reconstruct a 3D/4D volume. Since all of the vascular information is contained in the fill acquisition, it is hypothesized that it is possible to reduce the x-ray dose of the mask acquisition substantially and still obtain subtracted projections adequate to reconstruct a 3D/4D volume with noise level comparable to a full-dose acquisition. A full-dose mask and fill acquisition were acquired from a clinical study to provide a known full-dose reference reconstruction. Gaussian noise was added to the mask acquisition to simulate a mask acquisition acquired at 10% relative dose. Noise in the low-dose mask projections was reduced with a weighted edge preserving filter designed to preserve bony edges while suppressing noise. Two-dimensional (2D) log-subtracted projections were computed from the filtered low-dose mask and full-dose fill projections, and then 3D/4D-DSA reconstruction algorithms were applied. Additional bilateral filtering was applied to the 3D volumes. The signal-to-noise ratio measured in the filtered 3D/4D-DSA volumes was compared to the full-dose case. The average ratio of filtered low-dose SNR to full-dose SNR was 0.856 for the 3D-DSA and 0.849 for the 4D-DSA, indicating that the method is a feasible approach to restoring SNR in DSA scans acquired with a low-dose mask. The method was also tested in a phantom study with full-dose fill and 22%-dose mask.

Entities:  

Keywords:  digital subtraction angiogram; dose reduction; edge preservation; four-dimensional; noise estimation; reconstruction artifacts; signal to noise ratio; three-dimensional bilateral filtering

Year:  2017        PMID: 28097212      PMCID: PMC5225403          DOI: 10.1117/1.JMI.4.1.013501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  4 in total

1.  A computational approach to edge detection.

Authors:  J Canny
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-06       Impact factor: 6.226

2.  Guided image filtering.

Authors:  Kaiming He; Jian Sun; Xiaoou Tang
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2013-06       Impact factor: 6.226

3.  4D digital subtraction angiography: implementation and demonstration of feasibility.

Authors:  B Davis; K Royalty; M Kowarschik; C Rohkohl; E Oberstar; B Aagaard-Kienitz; D Niemann; O Ozkan; C Strother; C Mistretta
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-25       Impact factor: 3.825

4.  Volumetric limiting spatial resolution analysis of four-dimensional digital subtraction angiography.

Authors:  Brian J Davis; Erick Oberstar; Kevin Royalty; Sebastian Schafer; Charles Mistretta
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-25
  4 in total
  1 in total

1.  Construction of digital three-dimensional reconstruction model of rabbit vascular network.

Authors:  Qinghong Song; Yan Zhang
Journal:  Saudi J Biol Sci       Date:  2019-09-24       Impact factor: 4.219

  1 in total

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