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Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques

Diffusion tensor imaging (DTI) data has traditionally been displayed as a grayscale functional anisotropy map (GSFM) or color coded orientation map (CCOM). These methods use black and white or color with intensity values to map the complex multidimensional DTI data to a two-dimensional image. Altern...

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Autores principales: Raslan, Osama, Debnam, James Matthew, Ketonen, Leena, Kumar, Ashok J., Schellingerhout, Dawid, Wang, Jihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819952/
https://www.ncbi.nlm.nih.gov/pubmed/24251037
http://dx.doi.org/10.1155/2013/780916
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author Raslan, Osama
Debnam, James Matthew
Ketonen, Leena
Kumar, Ashok J.
Schellingerhout, Dawid
Wang, Jihong
author_facet Raslan, Osama
Debnam, James Matthew
Ketonen, Leena
Kumar, Ashok J.
Schellingerhout, Dawid
Wang, Jihong
author_sort Raslan, Osama
collection PubMed
description Diffusion tensor imaging (DTI) data has traditionally been displayed as a grayscale functional anisotropy map (GSFM) or color coded orientation map (CCOM). These methods use black and white or color with intensity values to map the complex multidimensional DTI data to a two-dimensional image. Alternative visualization techniques, such as V (max) maps utilize enhanced graphical representation of the principal eigenvector by means of a headless arrow on regular nonstereoscopic (VM) or stereoscopic display (VMS). A survey of clinical utility of patients with intracranial neoplasms was carried out by 8 neuroradiologists using traditional and nontraditional methods of DTI display. Pairwise comparison studies of 5 intracranial neoplasms were performed with a structured questionnaire comparing GSFM, CCOM, VM, and VMS. Six of 8 neuroradiologists favored V (max) maps over traditional methods of display (GSFM and CCOM). When comparing the stereoscopic (VMS) and the non-stereoscopic (VM) modes, 4 favored VMS, 2 favored VM, and 2 had no preference. In conclusion, processing and visualizing DTI data stereoscopically is technically feasible. An initial survey of users indicated that V (max) based display methodology with or without stereoscopic visualization seems to be preferred over traditional methods to display DTI data.
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spelling pubmed-38199522013-11-18 Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques Raslan, Osama Debnam, James Matthew Ketonen, Leena Kumar, Ashok J. Schellingerhout, Dawid Wang, Jihong Radiol Res Pract Research Article Diffusion tensor imaging (DTI) data has traditionally been displayed as a grayscale functional anisotropy map (GSFM) or color coded orientation map (CCOM). These methods use black and white or color with intensity values to map the complex multidimensional DTI data to a two-dimensional image. Alternative visualization techniques, such as V (max) maps utilize enhanced graphical representation of the principal eigenvector by means of a headless arrow on regular nonstereoscopic (VM) or stereoscopic display (VMS). A survey of clinical utility of patients with intracranial neoplasms was carried out by 8 neuroradiologists using traditional and nontraditional methods of DTI display. Pairwise comparison studies of 5 intracranial neoplasms were performed with a structured questionnaire comparing GSFM, CCOM, VM, and VMS. Six of 8 neuroradiologists favored V (max) maps over traditional methods of display (GSFM and CCOM). When comparing the stereoscopic (VMS) and the non-stereoscopic (VM) modes, 4 favored VMS, 2 favored VM, and 2 had no preference. In conclusion, processing and visualizing DTI data stereoscopically is technically feasible. An initial survey of users indicated that V (max) based display methodology with or without stereoscopic visualization seems to be preferred over traditional methods to display DTI data. Hindawi Publishing Corporation 2013 2013-10-22 /pmc/articles/PMC3819952/ /pubmed/24251037 http://dx.doi.org/10.1155/2013/780916 Text en Copyright © 2013 Osama Raslan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Raslan, Osama
Debnam, James Matthew
Ketonen, Leena
Kumar, Ashok J.
Schellingerhout, Dawid
Wang, Jihong
Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title_full Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title_fullStr Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title_full_unstemmed Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title_short Stereoscopic Visualization of Diffusion Tensor Imaging Data: A Comparative Survey of Visualization Techniques
title_sort stereoscopic visualization of diffusion tensor imaging data: a comparative survey of visualization techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819952/
https://www.ncbi.nlm.nih.gov/pubmed/24251037
http://dx.doi.org/10.1155/2013/780916
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