Literature DB >> 23322084

The potential of dual-energy computed tomography for quantitative decomposition of soft tissues to water, protein and lipid in brachytherapy.

A Malusek1, M Karlsson, M Magnusson, G Alm Carlsson.   

Abstract

Dosimetric accuracy of radiation treatment planning in brachytherapy depends on knowledge of tissue composition. It has been speculated that soft tissues can be decomposed to water, lipid and protein. The aim of our work is to evaluate the accuracy of such tissue decomposition. Selected abdominal soft tissues, whose average elemental compositions were taken from literature, were decomposed using dual energy computed tomography to water, lipid and protein via the three-material decomposition method. The quality of the decomposition was assessed using relative differences between (i) mass energy absorption and (ii) mass energy attenuation coefficients of the analyzed and approximated tissues. It was found that the relative differences were less than 2% for photon energies larger than 10 keV. The differences were notably smaller than the ones for water as the transport and dose scoring medium. The choice of the water, protein and lipid triplet resulted in negative elemental mass fractions for some analyzed tissues. As negative elemental mass fractions cannot be used in general purpose particle transport computer codes using the Monte Carlo method, other triplets should be used for the decomposition. These triplets may further improve the accuracy of the approximation as the differences were mainly caused by the lack of high-Z materials in the water, protein and lipid triplet.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23322084     DOI: 10.1088/0031-9155/58/4/771

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


  10 in total

1.  Prospects for in vivo estimation of photon linear attenuation coefficients using postprocessing dual-energy CT imaging on a commercial scanner: comparison of analytic and polyenergetic statistical reconstruction algorithms.

Authors:  Joshua D Evans; Bruce R Whiting; Joseph A O'Sullivan; David G Politte; Paul H Klahr; Yaduo Yu; Jeffrey F Williamson
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

2.  Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy.

Authors:  Nora Hünemohr; Harald Paganetti; Steffen Greilich; Oliver Jäkel; Joao Seco
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

3.  Dual Energy Differential Phase Contrast CT (DE-DPC-CT) Imaging.

Authors:  Xu Ji; Ran Zhang; Ke Li; Guang-Hong Chen
Journal:  IEEE Trans Med Imaging       Date:  2020-10-28       Impact factor: 10.048

4.  One-step iterative reconstruction approach based on eigentissue decomposition for spectral photon-counting computed tomography.

Authors:  Mikaël Simard; Hugo Bouchard
Journal:  J Med Imaging (Bellingham)       Date:  2022-07-27

5.  Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT.

Authors:  Zhoubo Li; Shuai Leng; Lifeng Yu; Zhicong Yu; Cynthia H McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015

6.  Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scans.

Authors:  Qin Li; Benjamin P Berman; Tomoe Hagio; Marios A Gavrielides; Rongping Zeng; Berkman Sahiner; Qi Gong; Yuan Fang; Songtao Liu; Nicholas Petrick
Journal:  Phys Med Biol       Date:  2018-08-30       Impact factor: 3.609

7.  Spectral Properties of Abdominal Tissues on Dual-energy Computed Tomography and the Effects of Contrast Agent.

Authors:  Diana A Kreul; Rahel A Kubik-Huch; John Froehlich; Michael J Thali; Tilo Niemann
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

Review 8.  Technical Principles of Dual-Energy Cone Beam Computed Tomography and Clinical Applications for Radiation Therapy.

Authors:  Shailaja Sajja; Young Lee; Markus Eriksson; Håkan Nordström; Arjun Sahgal; Masoud Hashemi; James G Mainprize; Mark Ruschin
Journal:  Adv Radiat Oncol       Date:  2019-07-30

9.  VOXSI: A voxelized single- and dual-energy CT scenario generator for quantitative imaging.

Authors:  Brent van der Heyden; Lotte E J R Schyns; Mark Podesta; Ana Vaniqui; Isabel P Almeida; Guillaume Landry; Frank Verhaegen
Journal:  Phys Imaging Radiat Oncol       Date:  2018-05-25

Review 10.  Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual-energy CT.

Authors:  Matthijs Ferdinand Kruis
Journal:  J Appl Clin Med Phys       Date:  2021-11-07       Impact factor: 2.102

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.