Acquisition, visualization, 3D reconstruction of anatomical data from dissection : application to human white fiber bundles

In this thesis, we present a system to keep track of a destructive process such as a medical specimen dissection, from data acquisition to interactive and immersive visualization, in order to build ground truth models. Acquisition is a two-step process, first involving a 3D laser scanner to get a 3D surface, and then a high resolution camera for capturing the texture. This acquisition process is repeated at each step of the dissection, depending on the expected accuracy and the specific objects to be studied. Thanks to fiducial markers, surfaces are registered on each others. Experts can then explore data using interaction hardware in an immersive 3D visualization. An interactive labeling tool is provided to the anatomist, in order to identify regions of interest on each acquired surface. 3D objects can then be reconstructed according to the selected surfaces. We aim to produce ground truths which for instance can be used to validate data acquired with MRI. The system is applied to the specific case of white fibers reconstruction in the human brain.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00881437
Author Serres, Barthélemy
Maintainer CCSD
Last Updated May 9, 2026, 02:35 (UTC)
Created May 9, 2026, 02:35 (UTC)
Identifier tel-00881437
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT) ; Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)
creator Serres, Barthélemy
date 2013-07-25T00:00:00
harvest_object_id f003e734-b2f8-49d1-a6b1-1ec833b53745
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-04T00:00:00
set_spec type:THESE