Minimum data image reconstruction algorithms with shift-invariant filtering for helical, cone-beam CT

被引：44

作者：

Sidky, EY ^{[1
]}

Zou, Y ^{[1
]}

Pan, XC ^{[1
]}

机构：

[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA

来源：

PHYSICS IN MEDICINE AND BIOLOGY | 2005年 / 50卷 / 08期

关键词：

D O I：

10.1088/0031-9155/50/8/002

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We derive accurate and efficient reconstruction algorithms for helical, cone-beam CT that employ shift-invariant filtering. Specifically, a new backprojection-filtration algorithm is developed, and a minimum data filtered-backprojection algorithm is derived. These reconstruction algorithms with shift-invariant filtering can accept data with transverse truncation, and hence allow for minimum data image reconstruction.

引用

页码：1643 / 1657

页数：15

共 17 条

[1]

DANIELSSON PE, 1997, P 1997 INT M FULL 3, P141

[2] A solution to the long-object problem in helical cone-beam tomography [J].