A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY

被引：15

作者：

Huang, Y. ^{[1
]}

Taubmann, O. ^{[1
,3
]}

Huang, X. ^{[1
]}

Haase, V. ^{[4
]}

Lauritsch, G. ^{[2
]}

Maier, A. ^{[1
,3
]}

机构：

[1] Friedrich Alexander Univ Erlangen Nuremberg, Pattern Recognit Lab, Erlangen, Germany

[2] Siemens Healthcare GmbH, Forchheim, Germany

[3] Erlangen Grad Sch Adv Opt Technol SAOT, Erlangen, Germany

[4] Univ Lubeck, Inst Signal Proc, Lubeck, Germany

来源：

2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2016年

关键词：

Total variation; limited angle tomography; streak artifacts; IMAGE-RECONSTRUCTION;

D O I：

10.1109/ISBI.2016.7493336

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper addresses streak reduction in limited angle tomography. The weighted total variation (wTV) algorithm is able to remove most Poisson noise and small streaks for clinical limited angle data. However, it is still not sufficient to remove larger streaks whose orientations are mostly dependent on the scan trajectory. We propose a new weighted anisotropic total variation (waTV) algorithm, which uses four neighboring pixels to calculate the gradient along the streaks' normal direction and is able to reduce large streaks well.

引用

页码：585 / 588

页数：4

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