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Systems development for direct visualization of three-dimensional radiological images, diagnostic applications and their use in the teaching of neuroanatomy

Grant number: 13/13272-9
Support type:Research Grants - Young Investigators Grants
Duration: August 01, 2014 - July 31, 2018
Field of knowledge:Health Sciences - Medicine - Medical Radiology
Principal Investigator:Daniel Souza Ferreira Magalhães
Grantee:Daniel Souza Ferreira Magalhães
Home Institution: Universidade Brasil. Campus São Paulo. São Paulo , SP, Brazil
Assoc. researchers:Li Li Min
Associated grant(s):15/50304-1 - Multiview autostereoscopic three-dimensional display for medical imaging visualization, AP.R SPRINT
Associated scholarship(s):16/20244-0 - Dissection guide for cerebral sulci, gyri and ventricles in three dimensions, BP.IC
15/04273-7 - Segmentation and construction of thalamic nuclei templates from magnetic resonance images, BP.IC
14/07501-8 - Development systems for direct visualization of three-dimensional radiological images, their diagnostic applications and use in the teaching of neuroanatomy, BP.JP


This project will use a system of three-dimensional visualization of images to assist in the diagnosis of neurological diseases and for neuroanatomy teaching. The images displayed by the system developed (in a previous project - FAPESP 2009/54543-0) are images of nuclear magnetic resonance, computed tomography and statistical group images. This project aims to obtain statistical group images, their visualization in the 3D system and use in teaching neuroanatomy. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, ROSILENE; BAPTISTA, ALESSANDRA; SERRA, ROLANDO L.; MAGALHAES, DANIEL S. F. Mobile application for the evaluation and planning of nursing workload in the intensive care unit. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, v. 137, MAY 2020. Web of Science Citations: 0.
DANIEL SOUZA FERREIRA MAGALHÃES; SAAD MANSOOR; YING WENG; ENRICO GHIZONI; THIAGO BARBOSA; FERNANDA DE ALMEIDA SILVEIRA; ROLANDO SERRA TOLEDO; LI MIN LI. Multi-view autostereoscopic system for 3D visualization in anatomy. Res. Biomed. Eng., v. 34, n. 3, p. -, Set. 2018.

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