4D CBCT reconstruction with TV regularization on a dynamic software phantom

被引：1

作者：

Heylen, Rob ^{[1
]}

Schramm, Georg ^{[1
]}

Suetens, Paul ^{[2
]}

Nuyts, Johan ^{[1
]}

机构：

[1] KULeuven, Dept Imaging & Pathol, Div Nucl Med, Leuven, Belgium

[2] KULeuven, Proc Speech & Images Grp, Fac Engn Sci, Leuven, Belgium

来源：

2019 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) | 2019年

基金：

欧盟地平线“2020”;

关键词：

CT;

D O I：

10.1109/nss/mic42101.2019.9059877

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

In 2011 a primal-dual optimization algorithm was proposed by Chambolle and Pock. This algorithm is well fit for 4D CBCT reconstruction with spatial and temporal total variation (TV) regularization, and several authors recently used this approach. In this paper, we also implement a version of this algorithm, and assess its capabilities for dual-energy dynamic angiography of the brain on a software phantom. The phantom is created by adding an artificial vasculature, generated with constrained constructive optimization, to the Brainweb phantom, and by calculating blood flow dynamics through this vasculature based on hydrodynamic equations. A dual-energy CBCT acquisition is simulated, split into water and iodine components, and a 4D iodine image is reconstructed. This suggests the viability of 4D CBCT techniques based on TV for dual-energy dynamic brain angiography.

引用

页数：3

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