TU Darmstadt / ULB / TUbiblio

Variance-Based Iterative Image Reconstruction from Few Views in Limited-Angle C-Arm Computed Tomography

El Hakimi, Wissam and Sakas, Georgios (2014):
Variance-Based Iterative Image Reconstruction from Few Views in Limited-Angle C-Arm Computed Tomography.
In: Proceedings of SPIE; 9033, SPIE Press, Bellingham, In: Medical Imaging 2014: Physics of Medical Imaging, pp. 90332Q-1-90332Q-7, DOI: 10.1117/12.2043625,
[Conference or Workshop Item]

Abstract

C-arm cone-beam computed tomography offers CT-like 3D imaging capabilities, but with the additional advantage of being appropriate for interventional suites. Due to the limitations of the data acquisition system, projections are oft acquired in a short scan angular range, resulting in significant artifacts, if conventional analytic formulas are applied. Furthermore, the presence of high-density objects, like metal parts, induces streak-like artifacts, which can obscure relevant anatomy. We present a new algorithm to reduce such artifacts and enhance the quality of reconstructed 3D volume. We make use of the variance of estimated voxel values over all projections to decrease the ground artifact level. The proposed algorithm is less sensitive to data truncation, and does not require explicit estimation of missing data. The number of required images is very low (up to 56 projections), which have several benefits, like significant reduction of patient dose and shortening of the acquisition time. The performance of the proposed method is demonstrated based on simulations and phantom data.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: El Hakimi, Wissam and Sakas, Georgios
Title: Variance-Based Iterative Image Reconstruction from Few Views in Limited-Angle C-Arm Computed Tomography
Language: English
Abstract:

C-arm cone-beam computed tomography offers CT-like 3D imaging capabilities, but with the additional advantage of being appropriate for interventional suites. Due to the limitations of the data acquisition system, projections are oft acquired in a short scan angular range, resulting in significant artifacts, if conventional analytic formulas are applied. Furthermore, the presence of high-density objects, like metal parts, induces streak-like artifacts, which can obscure relevant anatomy. We present a new algorithm to reduce such artifacts and enhance the quality of reconstructed 3D volume. We make use of the variance of estimated voxel values over all projections to decrease the ground artifact level. The proposed algorithm is less sensitive to data truncation, and does not require explicit estimation of missing data. The number of required images is very low (up to 56 projections), which have several benefits, like significant reduction of patient dose and shortening of the acquisition time. The performance of the proposed method is demonstrated based on simulations and phantom data.

Series Name: Proceedings of SPIE; 9033
Publisher: SPIE Press, Bellingham
Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), 3D Reconstruction, Cone-beam computed tomography (CBCT)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Medical Imaging 2014: Physics of Medical Imaging
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1117/12.2043625
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item