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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Toward a Multimodal Diagnostic Exploratory Visualization of Focal Cortical Dysplasia

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Author(s):
Wu, Shin-Ting [1] ; Voltoline, Raphael [2] ; Loos, Wallace [1] ; Ivan Rubianes Silva, J. A. [1] ; Watanabe, Lionis [3] ; Amorim, Barbara [4] ; Coan, Ana [5] ; Cendes, Fernando [6] ; Yasuda, Clarissa L. [7]
Total Authors: 9
Affiliation:
[1] Univ Estadual Campinas, Dept Comp Engn & Ind Automat, Campinas, SP - Brazil
[2] Univ Estadual Campinas, Elect Engn, Campinas, SP - Brazil
[3] Univ Estadual Campinas, Hosp Clin, Campinas, SP - Brazil
[4] Univ Estadual Campinas, Campinas, SP - Brazil
[5] Univ Estadual Campinas, Dept Neurol, Child Neurol, Campinas, SP - Brazil
[6] Univ Estadual Campinas, Dept Neurol, Neurol, Campinas, SP - Brazil
[7] Univ Estadual Campinas, Dept Neurol, Campinas, SP - Brazil
Total Affiliations: 7
Document type: Journal article
Source: IEEE COMPUTER GRAPHICS AND APPLICATIONS; v. 38, n. 3, p. 73-89, MAY-JUN 2018.
Web of Science Citations: 0
Abstract

Focal cortical dysplasia (FCD) is a malformation of cortical development and a common cause of pharmacoresistant epilepsy. Resective surgery of clear-cut lesions may be curative. However, the localization of the seizure focus and the evaluation of its spatial extent can be challenging in many situations. For concordance assessment, medical studies show the relevance of accurate correlation of multisource imaging sequences to improve the sensitivity and specificity of the evaluation. In this paper, we share the process we went through to reach our simple, but effective, solution for integrating multi-volume rendering into an exploratory visualization environment for the diagnosis of FCD. We focus on fetching of multiple data assigned to a sample when they are rendered. Knowing that the major diagnostic role of multiple volumes is to complement information, we demonstrate that appropriate geometric transformations in the texture space are sufficient for accomplishing this task. This allows us to fully implement our proposal in the OpenGL rendering pipeline and to easily integrate it into the existing visual diagnostic application. Both time performance and the visual quality of our proposal were evaluated with a set of clinical data volumes for assessing the potential practical impact of our solution in routine diagnostic use. (AU)

FAPESP's process: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology
Grantee:Fernando Cendes
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 11/02351-0 - An interactive interface to pre-operative planning for neurosurgery
Grantee:Wu Shin-Ting
Support Opportunities: Regular Research Grants