3D reconstruction techniques made easy: Know-how and pictures

Giacomo Luccichenti; Filippo Cademartiri; Francesca Romana Pezzella; Giuseppe Runza; Manuel Belgrano; Massimo Midiri; Umberto Sabatini; Stefano Bastianello; Gabriel P. Krestin

doi:10.1007/s00330-005-2738-5

3D reconstruction techniques made easy: Know-how and pictures

Giacomo Luccichenti, Filippo Cademartiri, Francesca Romana Pezzella, Giuseppe Runza, Manuel Belgrano, Massimo Midiri, Umberto Sabatini, Stefano Bastianello, Gabriel P. Krestin

Research output: Contribution to journal › Article › peer-review

Abstract

Three-dimensional reconstructions represent a visual-based tool for illustrating the basis of three-dimensional post-processing such as interpolation, ray-casting, segmentation, percentage classification, gradient calculation, shading and illumination. The knowledge of the optimal scanning and reconstruction parameters facilitates the use of three-dimensional reconstruction techniques in clinical practise. The aim of this article is to explain the principles of multidimensional image processing in a pictorial way and the advantages and limitations of the different possibilities of 3D visualisation.

Original language	English
Pages (from-to)	2146-2156
Number of pages	11
Journal	European Radiology
Volume	15
Issue number	10
DOIs	https://doi.org/10.1007/s00330-005-2738-5
Publication status	Published - Oct 2005

Keywords

Computed tomography (CT), image processing
Computed tomography (CT), three-dimensional
Images, processing
Images, three-dimensional

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology

Access to Document

10.1007/s00330-005-2738-5

Cite this

@article{daa1b1d8638446deaa442f362e3c0a93,

title = "3D reconstruction techniques made easy: Know-how and pictures",

abstract = "Three-dimensional reconstructions represent a visual-based tool for illustrating the basis of three-dimensional post-processing such as interpolation, ray-casting, segmentation, percentage classification, gradient calculation, shading and illumination. The knowledge of the optimal scanning and reconstruction parameters facilitates the use of three-dimensional reconstruction techniques in clinical practise. The aim of this article is to explain the principles of multidimensional image processing in a pictorial way and the advantages and limitations of the different possibilities of 3D visualisation.",

keywords = "Computed tomography (CT), image processing, Computed tomography (CT), three-dimensional, Images, processing, Images, three-dimensional",

author = "Giacomo Luccichenti and Filippo Cademartiri and Pezzella, {Francesca Romana} and Giuseppe Runza and Manuel Belgrano and Massimo Midiri and Umberto Sabatini and Stefano Bastianello and Krestin, {Gabriel P.}",

year = "2005",

month = oct,

doi = "10.1007/s00330-005-2738-5",

language = "English",

volume = "15",

pages = "2146--2156",

journal = "European Radiology",

issn = "0938-7994",

publisher = "Springer Verlag",

number = "10",

}

TY - JOUR

T1 - 3D reconstruction techniques made easy

T2 - Know-how and pictures

AU - Luccichenti, Giacomo

AU - Cademartiri, Filippo

AU - Pezzella, Francesca Romana

AU - Runza, Giuseppe

AU - Belgrano, Manuel

AU - Midiri, Massimo

AU - Sabatini, Umberto

AU - Bastianello, Stefano

AU - Krestin, Gabriel P.

PY - 2005/10

Y1 - 2005/10

N2 - Three-dimensional reconstructions represent a visual-based tool for illustrating the basis of three-dimensional post-processing such as interpolation, ray-casting, segmentation, percentage classification, gradient calculation, shading and illumination. The knowledge of the optimal scanning and reconstruction parameters facilitates the use of three-dimensional reconstruction techniques in clinical practise. The aim of this article is to explain the principles of multidimensional image processing in a pictorial way and the advantages and limitations of the different possibilities of 3D visualisation.

AB - Three-dimensional reconstructions represent a visual-based tool for illustrating the basis of three-dimensional post-processing such as interpolation, ray-casting, segmentation, percentage classification, gradient calculation, shading and illumination. The knowledge of the optimal scanning and reconstruction parameters facilitates the use of three-dimensional reconstruction techniques in clinical practise. The aim of this article is to explain the principles of multidimensional image processing in a pictorial way and the advantages and limitations of the different possibilities of 3D visualisation.

KW - Computed tomography (CT), image processing

KW - Computed tomography (CT), three-dimensional

KW - Images, processing

KW - Images, three-dimensional

UR - http://www.scopus.com/inward/record.url?scp=26044479871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26044479871&partnerID=8YFLogxK

U2 - 10.1007/s00330-005-2738-5

DO - 10.1007/s00330-005-2738-5

M3 - Article

C2 - 15809826

AN - SCOPUS:26044479871

VL - 15

SP - 2146

EP - 2156

JO - European Radiology

JF - European Radiology

SN - 0938-7994

IS - 10

ER -

3D reconstruction techniques made easy: Know-how and pictures

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this