A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT

被引：26

作者：

Zhao, Jun ^{[1
]}

Jin, Yannan ^{[1
]}

Lu, Yang ^{[1
]}

Wang, Ge ^{[2
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200240, Peoples R China

[2] VT WFU, Sch Biomed Engn & Sci, Biomed Imaging Div, Blacksburg, VA 24061 USA

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2009年 / 28卷 / 03期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

Computed tomography (CT); cone-beam; filtered-backprojection (FBP); helical scanning; triple-source; EXACT RECONSTRUCTION ALGORITHM; MINIMUM DETECTION WINDOW; CB-FBP ALGORITHM; IMAGE-RECONSTRUCTION; FELDKAMP-TYPE; COMPUTED-TOMOGRAPHY; VOLUMETRIC CT; PI-LINES; REGIONS;

D O I：

10.1109/TMI.2008.2004817

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multisource cone-beam computed tomography (CT) is an attractive approach of choice for superior temporal resolution, which is critically important for cardiac imaging and contrast enhanced studies. In this paper, we present a filtered-backprojection (FBP) algorithm for triple-source helical cone-beam CT. The algorithm is both exact and efficient. It utilizes data from three inter-helix PI-arcs associated with the inter-helix PI-lines and the minimum detection windows defined for the triple-source configuration. The proof of the formula is based on the geometric relations specific to triple-source helical cone-beam scanning. Simulation results demonstrate the validity of the reconstruction algorithm. This algorithm is also extended to a multisource version for (2N + 1)-source helical cone-beam CT. With parallel computing, the proposed FBP algorithms can be significantly faster than our previously published multisource backprojection-filtration algorithms. Thus, the FBP algorithms are promising in applications of triple-source helical cone-beam CT.

引用

页码：384 / 393

页数：10

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