TILT: Topological Interface Recovery in Limited-Angle Tomography

被引:0
|
作者
Karvonen, Elli [1 ]
Lassas, Matti [1 ]
Pankka, Pekka [1 ]
Siltanen, Samuli [1 ]
机构
[1] Univ Helsinki, Dept Math & Stat, POB 68,Pietari Kalmin Katu 5, FI-00014 Helsinki, Finland
来源
SIAM JOURNAL ON IMAGING SCIENCES | 2024年 / 17卷 / 03期
基金
芬兰科学院;
关键词
inverse problem; tomography; limited-angle tomography; computational topology; persistent homology; non-Euclidean metric; IMAGE-RECONSTRUCTION; TOMOSYNTHESIS; CT; RESOLUTION; TRANSFORM; INVERSION;
D O I
10.1137/23M1611567
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel reconstruction method is introduced for the severely ill-posed inverse problem of limited- angle tomography. It is well known that, depending on the available measurement, angles specify a subset of the wavefront set of the unknown target, while some oriented singularities remain invisible in the data. Topological Interface recovery for Limited-angle Tomography, or TILT, is based on lifting the visible part of the wavefront set under a universal covering map. In the space provided, it is possible to connect the appropriate pieces of the lifted wavefront set correctly using dual-tree complex wavelets, a dedicated metric, and persistent homology. The result is not only a suggested invisible boundary but also a computational representation for all interfaces in the target.
引用
收藏
页码:1761 / 1794
页数:34
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