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Proceedings Paper

Beam hardening correction based on HL consistency in polychromatic transmission tomography
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Paper Abstract

In this paper, we propose a novel method for beam hardening correction in polychromatic transmission tomography. A family of polynomials is firstly determined in a training phase, which forms a complete set in the sense of X-ray physics of medical diagnostic imaging. In particular, every polynomial in the set is indexed by a beam hardening factor, i.e. effective atomic number, which is further assigned to specific X-ray penetrating path. In order to successfully accomplish the assignation in an imaging phase, another polynomial is adopted to formulize the mapping relationship between the index of polynomial family and the area density ratio of bone tissue. Here, the area density ratio of bone tissue is calculated after the pre reconstructed image being segmented into soft tissue and bone regions. The mapping polynomial is iteratively approximated by a dedicated HL Consistency (HLC) based nonlinear algorithm. The characteristics of this method include that the polynomial family can cover the variations of both high potential and effective filter of X-ray tube, the beam hardening correction in the imaging phase can adapt the content variations of objects being imaged, and the correction effect is also sophisticated even bowtie filter exists. Performance analysis and related computer simulation show that our HLC based correction is much robust than traditional bone correction to the variants of scale factor lambda0.

Paper Details

Date Published: 18 March 2008
PDF: 10 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691333 (18 March 2008); doi: 10.1117/12.770083
Show Author Affiliations
Xuanqin Mou, Xi'an Jiaotong Univ. (China)
Shaojie Tang, Xi'an Jiaotong Univ. (China)
Tao Luo, Xi'an Jiaotong Univ. (China)
Yizhai Zhang, Xi'an Jiaotong Univ. (China)
Hengyong Yu, Virginia Tech (United States)


Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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