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Relative electron density determination using a physics based parameterization of photon interactions in medical DECT.

Abstract：

:Radiotherapy and particle therapy treatment planning require accurate knowledge of the electron density and elemental composition of the tissues in the beam path to predict the local dose deposition. We describe a method for the analysis of dual energy computed tomography (DECT) images that provides the electron densities and effective atomic numbers of tissues. The CT measurement process is modelled by system weighting functions, which apply an energy dependent weighting to the parameterization of the total cross section for photon interactions with matter. This detailed parameterization is based on the theoretical analysis of Jackson and Hawkes and deviates, at most, 0.3% from the tabulated NIST values for the elements H to Zn. To account for beam hardening in the object as present in the CT image we implemented an iterative process employing a local weighting function, derived from the method proposed by Heismann and Balda. With this method effective atomic numbers between 1 and 30 can be determined. The method has been experimentally validated on a commercially available tissue characterization phantom with 16 inserts made of tissue substitutes and aluminium that has been scanned on a dual source CT system with tube potentials of 100 kV and 140 kV using a clinical scan protocol. Relative electron densities of all tissue substitutes have been determined with accuracy better than 1%. The presented DECT analysis method thus provides high accuracy electron densities and effective atomic numbers for radiotherapy and especially particle therapy treatment planning.

journal_name

Phys Med Biol

journal_title

Physics in medicine and biology

authors

van Abbema JK,van Goethem MJ,Greuter MJ,van der Schaaf A,Brandenburg S,van der Graaf ER

doi

10.1088/0031-9155/60/9/3825

subject

Has Abstract

pub_date

2015-05-07 00:00:00

pages

3825-46

issue

9

eissn

0031-9155

issn

1361-6560

journal_volume

60

pub_type

杂志文章

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