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Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery
dc.contributor.author | Avilés Rivero, Angélica |
dc.contributor.author | Alsaleh, Samar M. |
dc.contributor.author | Casals Gelpí, Alicia |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2018-03-07T08:20:46Z |
dc.date.available | 2018-03-07T08:20:46Z |
dc.date.issued | 2017 |
dc.identifier.citation | Avilés, A., Alsaleh, S., Casals, A. Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery. A: IEEE/RSJ International Conference on Intelligent Robots and Systems. "2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): 24-28 Sept. 2017". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 160-165. |
dc.identifier.isbn | 978-1-5386-2682-5 |
dc.identifier.uri | http://hdl.handle.net/2117/114875 |
dc.description.abstract | Robotic-assisted minimally invasive surgical sys-tems suffer from one major limitation which is the lack of interaction forces feedback. The restricted sense of touch hinders the surgeons’ performance and reduces their dexterity and precision during a procedure. In this work, we present a sensory substitution approach that relies on visual stimuli to transmit the tool-tissue interaction forces to the operating surgeon. Our approach combines a 3D diffeomorphic defor-mation mapping with a generative model to precisely label the force level. The main highlights of our approach are that the use of diffeomorphic transformation ensures anatomical structure preservation and the label assignment is based on a parametric form of several mixture elements. We performed experimentations on both ex-vivo and in-vivo datasets and offer careful numerical results evaluating our approach. The results show that our solution has an error measure less than 1mm in all directions and an average labeling error of 2.05%. It can also be applicable to other scenarios that require force feedback such as microsurgery, knot tying or needle-based procedures. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject.lcsh | Biomechanics |
dc.subject.lcsh | Three dimensional imaging in medicine |
dc.subject.lcsh | Robotics in medicine |
dc.subject.other | Vision based force estimation |
dc.subject.other | Robot assisted minimally invasive surgery |
dc.subject.other | Topology preservation |
dc.title | Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery |
dc.type | Conference report |
dc.subject.lemac | Biomecànica |
dc.subject.lemac | Imatges tridimensionals en medicina |
dc.subject.lemac | Robòtica en medicina |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.identifier.doi | 10.1109/IROS.2017.8202152 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/8202152/ |
dc.rights.access | Open Access |
local.identifier.drac | 21992218 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Avilés, A.; Alsaleh, S.; Casals, A. |
local.citation.contributor | IEEE/RSJ International Conference on Intelligent Robots and Systems |
local.citation.publicationName | 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): 24-28 Sept. 2017 |
local.citation.startingPage | 160 |
local.citation.endingPage | 165 |