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Introducing the concept of potential-based organ contours.
IEEE TRPMS 3, 24-30 (2018)
The aim of the paper is to explore a new method for organ contour description in radiology and radiation protection. The method bases on the mathematical computation of electrical fields, exploited are the equipotential lines caused by a potential field of a distribution of point sources in analogy to electric charges. The organ shape is described by the potential values of the field, the contour by the equipotentials. The potential-dependent methods offers an inside-outside criterion and can be scaled in size and edited by changing the source points. Because of that it offers a flexible possible framework for organ contour editing and also towards segmentation. The main focus of the paper is the proof of principle, i.e. the optimization of the source point coordinates and source strengths, to show the transfer of voxelized organ borders to potential based contours. The already voxelized organ borders were from a human voxel phantom generated from 2-dimensional CT images of a real patient. Results for several closed and compact organs shall be presented and the limitations, future applications and possibilities addressed, e.g. the advantages of an implementation in Monte Carlo calculations of radiation transport.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Electric potential
,
Shape
,
Biological systems
,
Plasmas
,
Biomedical imaging
,
Mathematical model
,
Numerical models; Organ modeling
,
potential-based contour
,
equipotential contour.
Language
english
Publication Year
2018
HGF-reported in Year
2018
ISSN (print) / ISBN
2469-7311
e-ISSN
2469-7311
Quellenangaben
Volume: 3,
Issue: 1,
Pages: 24-30
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place
New York, NY
Reviewing status
Peer reviewed
Institute(s)
Institute of Radiation Protection (ISS)
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Radiation Sciences
PSP Element(s)
G-501100-008
G-501100-004
FE 71181
G-501100-004
FE 71181
Scopus ID
85113955454
Erfassungsdatum
2018-11-07