Abstract
Three-dimensional representations of volumetric CT data provide a powerful means to display and perceive complex anatomy and pathology. The development of advanced, multi-slice CT scanners that could rapidly acquire isotropic data sets without significant patient respiratory or voluntary motion has allowed for the implementation of a number of 3D reconstruction methods into clinical practice. In this chapter, we will discuss the technical considerations that underlie the most common 3D reconstruction methodologies (including surface rendering, maximum intensity projection, volume rendering, and cinematic rendering), the similarities and differences between these methodologies and how this impacts the types of imaging data each methodology is most suited to evaluate, and provide examples of some of the most common clinical uses of these techniques.
| Original language | English (US) |
|---|---|
| Title of host publication | Medical Radiology |
| Publisher | Springer Verlag |
| Pages | 103-120 |
| Number of pages | 18 |
| DOIs | |
| State | Published - Jan 1 2019 |
Publication series
| Name | Medical Radiology |
|---|---|
| ISSN (Print) | 0942-5373 |
| ISSN (Electronic) | 2197-4187 |
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ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
Cite this
Image processing from 2D to 3D. / Rowe, Steven P.; Fishman, Elliot K.
Medical Radiology. Springer Verlag, 2019. p. 103-120 (Medical Radiology).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Image processing from 2D to 3D
AU - Rowe, Steven P.
AU - Fishman, Elliot K
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Three-dimensional representations of volumetric CT data provide a powerful means to display and perceive complex anatomy and pathology. The development of advanced, multi-slice CT scanners that could rapidly acquire isotropic data sets without significant patient respiratory or voluntary motion has allowed for the implementation of a number of 3D reconstruction methods into clinical practice. In this chapter, we will discuss the technical considerations that underlie the most common 3D reconstruction methodologies (including surface rendering, maximum intensity projection, volume rendering, and cinematic rendering), the similarities and differences between these methodologies and how this impacts the types of imaging data each methodology is most suited to evaluate, and provide examples of some of the most common clinical uses of these techniques.
AB - Three-dimensional representations of volumetric CT data provide a powerful means to display and perceive complex anatomy and pathology. The development of advanced, multi-slice CT scanners that could rapidly acquire isotropic data sets without significant patient respiratory or voluntary motion has allowed for the implementation of a number of 3D reconstruction methods into clinical practice. In this chapter, we will discuss the technical considerations that underlie the most common 3D reconstruction methodologies (including surface rendering, maximum intensity projection, volume rendering, and cinematic rendering), the similarities and differences between these methodologies and how this impacts the types of imaging data each methodology is most suited to evaluate, and provide examples of some of the most common clinical uses of these techniques.
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U2 - 10.1007/174_2017_136
DO - 10.1007/174_2017_136
M3 - Chapter
AN - SCOPUS:85072750485
T3 - Medical Radiology
SP - 103
EP - 120
BT - Medical Radiology
PB - Springer Verlag
ER -