2016
DOI: 10.1088/0952-4746/36/2/230
|View full text |Cite
|
Sign up to set email alerts
|

New small-intestine modeling method for surface-based computational human phantoms

Abstract: When converting voxel phantoms to a surface format, the small intestine (SI), which is usually not accurately represented in a voxel phantom due to its complex and irregular shape on one hand and the limited voxel resolutions on the other, cannot be directly converted to a high-quality surface model. Currently, stylized pipe models are used instead, but they are strongly influenced by developer's subjectivity, resulting in unacceptable geometric and dosimetric inconsistencies. In this paper, we propose a new m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 23 publications
(25 citation statements)
references
References 43 publications
0
25
0
Order By: Relevance
“…small intestine, lymphatic nodes, eye, and blood in large vessels), which are very complex and/or small in structure, could not be produced by the conversion process; therefore, they were modelled. The small intestine of each phantom was generated using a dedicated procedure and a computer program developed by Yeom et al (2016a), in which a total of 1000 different models of the small intestine are generated randomly with a Monte Carlo approach, and then the best model is selected considering both geometric and dosimetric similarity with the Publication 110 phantoms (ICRP, 2009). The lymphatic nodes were generated using a similar approach, which was used to generate the lymphatic nodes in the University of Florida and the National Cancer Institute (UF/NCI) adult phantoms (Lee et al, 2013), based on the lymphatic node data in Publication 133 (ICRP, 2016).…”
Section: Adult Mesh-type Reference Phantomsmentioning
confidence: 99%
“…small intestine, lymphatic nodes, eye, and blood in large vessels), which are very complex and/or small in structure, could not be produced by the conversion process; therefore, they were modelled. The small intestine of each phantom was generated using a dedicated procedure and a computer program developed by Yeom et al (2016a), in which a total of 1000 different models of the small intestine are generated randomly with a Monte Carlo approach, and then the best model is selected considering both geometric and dosimetric similarity with the Publication 110 phantoms (ICRP, 2009). The lymphatic nodes were generated using a similar approach, which was used to generate the lymphatic nodes in the University of Florida and the National Cancer Institute (UF/NCI) adult phantoms (Lee et al, 2013), based on the lymphatic node data in Publication 133 (ICRP, 2016).…”
Section: Adult Mesh-type Reference Phantomsmentioning
confidence: 99%
“… (44) The small intestine was not represented precisely in the Publication 110 (ICRP, 2009) phantoms, mainly because its complex tubular structure was not clearly distinguishable in the original cross-sectional CT data and its modelling was limited due to the finite voxel resolution. Accordingly, a dedicated procedure and a computer program were used to generate the small intestine models in the MRCPs (Yeom et al., 2016a). First, a surface frame, entirely enclosing the original small intestine voxel model, was constructed using the alpha-shape algorithm (Edelsbrunner et al., 1983).…”
Section: Conversion Of the Adult Voxel-type Reference Phantoms To mentioning
confidence: 99%
“…The aforementioned procedure was repeated to produce 1000 different small intestine models, with the best model selected considering both its geometric and dosimetric similarity. More detailed information on construction of the small intestine model can be found in Yeom et al. (2016a).
Fig.
…”
Section: Conversion Of the Adult Voxel-type Reference Phantoms To mentioning
confidence: 99%
“…These phantoms are the exact counterparts of the ICRP phantoms and have the advantage that they can model small tissues below the voxel phantom resolution. More information on these phantoms can be found in a forthcoming ICRP publication (ICRP, 2020b) and in Kim et al (2011Kim et al ( , 2016Kim et al ( , 2017, Yeom et al (2013Yeom et al ( , 2016a, and Nguyen et al (2015).…”
Section: Annex C Skin Dosimetrymentioning
confidence: 99%