Distributed Laparoscopy

During laparoscopic procedures, the main concern for surgeons is to take the most appropriate decisions on the basis of a fragmented view of the operating field. This task is quite difficult to achieve since the endoscope offers a restricted field of view of the abdominal cavity and is constrained by the insertion point. These constraints lead to constant back and forth movements of the endoscope, swapping between close detailed views and more global ones in order to locate anatomical landmarks. Moreover, surgeons would often like to radically change the viewpoint, in order to be able to observe partially hidden anatomical parts, without inserting a new trocar. Our purpose is to provide the surgeon with a system that instantaneously creates a global and detailed view of the operating field from any desired viewpoint. This could significantly enhance the medical service offered by laparoscopy. In order to do so, we insert a commando of n small CMOS video cameras in the patients abdomen through standard endoscopic trocars. Some of these cameras can be grouped into stereoscopic pairs. They are attached to trocars, to surgical instruments or to strategic parts of the abdominal wall, so that at least one of them is perfectly positioned to capture the relevant visual clues. A 3D model of the operating field is created from all the partial fields of views of the n cameras. Geometrical models and color informations are merged to synthesize any virtual view of the abdominal scene. The surgeon may thus explore virtually around the observed organs without moving any real camera.

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Additional Info

Field Value
Source https://theses.hal.science/tel-00689725
Author Boschet, Christophe
Maintainer CCSD
Last Updated May 21, 2026, 07:01 (UTC)
Created May 21, 2026, 07:01 (UTC)
Identifier tel-00689725
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Université de Grenoble
creator Boschet, Christophe
date 2010-12-15T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-27T00:00:00
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