TY - GEN
T1 - SemanatoMy3D
T2 - 2015 Italian Chapter Conference - Smart Tools and Apps in Computer Graphics, STAG 2015
AU - Banerjee, Imon
AU - Patanè, Giuseppe
AU - Spagnuolo, Michela
N1 - Funding Information:
This work is supported by the FP7 Marie Curie Initial Training Network “MultiScaleHuman”: Multi-scale Biological Modalities for Physiological Human Articulation (2011-2015), contract MRTN-CT-2011-289897. This work is also partially supported by the Project FAS-MEDIARE “Nuove metodologie di Imaging Diagnostico per patologie reumatiche”. The carpal dataset is provided By Softeco Sis-mat Srl in collaboration with DIMI (Dipartimento di Medic-ina Interna, Clinica Reumatologica, Universit degli Studi di Genova).
Publisher Copyright:
© The Eurographics Association 2015.
PY - 2015
Y1 - 2015
N2 - In the digital age of medicine, patient-specific 3D anatomical reconstructions are becoming increasingly relevant in several applications, starting from bio-mechanical simulation, virtual surgery, implant design to computer-assisted diagnosis. While problems related to imaging and 3D reconstruction have been largely resolved by the advancement in technologies, tools for extracting, coding, sharing and retrieving the semantic content of the patient-specific 3D models are still far from being satisfactory. In this context, we propose SemAnatomy3D framework that aims to bridge the semantic gap between patient-specific 3D geometry and formalized domain knowledge for making the semantics more usable for the definition of patient-specific atlas of anatomy. The purpose of this paper is to describe primary components of the framework. We specialized our framework for the carpal region, but, in principle, it can support similar tasks for other anatomical districts.
AB - In the digital age of medicine, patient-specific 3D anatomical reconstructions are becoming increasingly relevant in several applications, starting from bio-mechanical simulation, virtual surgery, implant design to computer-assisted diagnosis. While problems related to imaging and 3D reconstruction have been largely resolved by the advancement in technologies, tools for extracting, coding, sharing and retrieving the semantic content of the patient-specific 3D models are still far from being satisfactory. In this context, we propose SemAnatomy3D framework that aims to bridge the semantic gap between patient-specific 3D geometry and formalized domain knowledge for making the semantics more usable for the definition of patient-specific atlas of anatomy. The purpose of this paper is to describe primary components of the framework. We specialized our framework for the carpal region, but, in principle, it can support similar tasks for other anatomical districts.
UR - http://www.scopus.com/inward/record.url?scp=85028570238&partnerID=8YFLogxK
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U2 - 10.2312/stag.20151292
DO - 10.2312/stag.20151292
M3 - Conference contribution
AN - SCOPUS:85028570238
T3 - Italian Chapter Conference 2015 - Smart Tools and Apps in Computer Graphics, STAG 2015
SP - 57
EP - 66
BT - Italian Chapter Conference 2015 - Smart Tools and Apps in Computer Graphics, STAG 2015
A2 - Giachetti, Andrea
A2 - Biasotti, Silvia
A2 - Tarini, Marco
PB - Eurographics Association
Y2 - 15 October 2015 through 16 October 2015
ER -