Literature DB >> 14703159

Exact helical reconstruction using native cone-beam geometries.

Frédéric Noo1, Jed Pack, Dominic Heuscher.   

Abstract

This paper is about helical cone-beam reconstruction using the exact filtered backprojection formula recently suggested by Katsevich (2002a Phys. Med. Biol. 47 2583-97). We investigate how to efficiently and accurately implement Katsevich's formula for direct reconstruction from helical cone-beam data measured in two native geometries. The first geometry is the curved detector geometry of third-generation multi-slice CT scanners, and the second geometry is the flat detector geometry of C-arms systems and of most industrial cone-beam CT scanners. For each of these two geometries, we determine processing steps to be applied to the measured data such that the final outcome is an implementation of the Katsevich formula. These steps are first described using continuous-form equations, disregarding the finite detector resolution and the source position sampling. Next, techniques are presented for implementation of these steps with finite data sampling. The performance of these techniques is illustrated for the curved detector geometry of third-generation CT scanners, with 32, 64 and 128 detector rows. In each case, resolution and noise measurements are given along with reconstructions of the FORBILD thorax phantom.

Mesh:

Year:  2003        PMID: 14703159     DOI: 10.1088/0031-9155/48/23/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  16 in total

1.  Backprojection-filtration reconstruction without invoking a spatially varying weighting factor.

Authors:  Dan Xia; Seungryong Cho; Xiaochuan Pan
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Filtered Backprojection Reconstruction with Depth-Dependent Filtering.

Authors:  Frank Dennerlein; Holger Kunze; Frédéric Noo
Journal:  Tsinghua Sci Technol       Date:  2010-02       Impact factor: 2.016

3.  A new method to combine 3D reconstruction volumes for multiple parallel circular cone beam orbits.

Authors:  Jongduk Baek; Norbert J Pelc
Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

4.  Exact reconstruction of volumetric images in reverse helical cone-beam CT.

Authors:  Seungryong Cho; Dan Xia; Charles A Pelizzari; Xiaochuan Pan
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

5.  Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory.

Authors:  Tingliang Zhuang; Joseph Zambelli; Brian Nett; Shuai Leng; Guang-Hong Chen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008

6.  A factorization approach for cone-beam reconstruction on a circular short-scan.

Authors:  Frank Dennerlein; Frédéric Noo; Harald Schöndube; Günter Lauritsch; Joachim Hornegger
Journal:  IEEE Trans Med Imaging       Date:  2008       Impact factor: 10.048

7.  Image reconstruction in reduced circular sinusoidal cone-beam CT.

Authors:  Dan Xia; Seungryong Cho; Xiaochuan Pan
Journal:  J Xray Sci Technol       Date:  2009       Impact factor: 1.535

8.  A simplified Katsevich algorithm motivated by the distribution properties of k-lines.

Authors:  Zhiwei Qiao; Gage Redler; Howard Halpern
Journal:  J Electron Imaging       Date:  2013-10-02       Impact factor: 0.945

9.  3D analytic cone-beam reconstruction for multiaxial CT acquisitions.

Authors:  Zhye Yin; Bruno De Man; Jed Pack
Journal:  Int J Biomed Imaging       Date:  2009-08-30

10.  Circle plus partial helical scan scheme for a flat panel detector-based cone beam breast X-ray CT.

Authors:  Dong Yang; Ruola Ning; Weixing Cai
Journal:  Int J Biomed Imaging       Date:  2009-12-31
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