Paper
22 March 2016 Feasibility of reduced-dose 3D/4D-DSA using a weighted edge preserving filter
Erick L. Oberstar, Michael A. Speidel, Brian J. Davis, Charles Strother, Charles Mistretta
Author Affiliations +
Abstract
A conventional 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 (WEP) filter designed to preserve bony edges while suppressing noise. 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 1.07 for the 3D-DSA and 1.05 for the 4D-DSA, indicating 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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erick L. Oberstar, Michael A. Speidel, Brian J. Davis, Charles Strother, and Charles Mistretta "Feasibility of reduced-dose 3D/4D-DSA using a weighted edge preserving filter", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978302 (22 March 2016); https://doi.org/10.1117/12.2216087
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Cited by 3 scholarly publications.
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KEYWORDS
Signal to noise ratio

Image filtering

3D image processing

3D image reconstruction

3D metrology

Bone

Digital filtering

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