Interactive visuo-haptic surgical planning tool for pelvic and acetabular fractures.
Identifieur interne : 001482 ( PubMed/Corpus ); précédent : 001481; suivant : 001483Interactive visuo-haptic surgical planning tool for pelvic and acetabular fractures.
Auteurs : J. Fornaro ; M. Harders ; M. Keel ; B. Marincek ; O. Trentz ; G. Szekely ; T. FrauenfelderSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2008.
English descriptors
- KwdEn :
- MESH :
- geographic : Switzerland.
- injuries : Pelvic Bones.
- methods : Orthopedics.
- surgery : Fractures, Bone.
- Computer Simulation, Humans, Imaging, Three-Dimensional, Touch, User-Computer Interface.
Abstract
Treatment of pelvic and acetabular fractures still poses a major challenge to trauma surgeons. We present a tool for intervention planning for such injuries using patient-specific models built from Computed Tomography data. The presented tool has three main parts: (1) the virtual reduction of the bone fragments, (2) the virtual adaptation of the osteosynthesis implants and (3) Finite Element Analysis (FEA) for testing mechanical behavior of the resulting intervention plan. Our tool provides an intuitive visuo-hapic interface designed to be used by trauma surgeons. The type and size of the osteosynthesis material can be determined and measurements like distances and angles relative to landmarks can be taken. First results of prospectively planned interventions show an excellent correlation and a significant gain in operation time.
PubMed: 18391271
Links to Exploration step
pubmed:18391271Le document en format XML
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<author><name sortKey="Harders, M" sort="Harders, M" uniqKey="Harders M" first="M" last="Harders">M. Harders</name>
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<author><name sortKey="Keel, M" sort="Keel, M" uniqKey="Keel M" first="M" last="Keel">M. Keel</name>
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<author><name sortKey="Marincek, B" sort="Marincek, B" uniqKey="Marincek B" first="B" last="Marincek">B. Marincek</name>
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<author><name sortKey="Trentz, O" sort="Trentz, O" uniqKey="Trentz O" first="O" last="Trentz">O. Trentz</name>
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<author><name sortKey="Szekely, G" sort="Szekely, G" uniqKey="Szekely G" first="G" last="Szekely">G. Szekely</name>
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<author><name sortKey="Frauenfelder, T" sort="Frauenfelder, T" uniqKey="Frauenfelder T" first="T" last="Frauenfelder">T. Frauenfelder</name>
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<author><name sortKey="Trentz, O" sort="Trentz, O" uniqKey="Trentz O" first="O" last="Trentz">O. Trentz</name>
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<term>Switzerland</term>
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<front><div type="abstract" xml:lang="en">Treatment of pelvic and acetabular fractures still poses a major challenge to trauma surgeons. We present a tool for intervention planning for such injuries using patient-specific models built from Computed Tomography data. The presented tool has three main parts: (1) the virtual reduction of the bone fragments, (2) the virtual adaptation of the osteosynthesis implants and (3) Finite Element Analysis (FEA) for testing mechanical behavior of the resulting intervention plan. Our tool provides an intuitive visuo-hapic interface designed to be used by trauma surgeons. The type and size of the osteosynthesis material can be determined and measurements like distances and angles relative to landmarks can be taken. First results of prospectively planned interventions show an excellent correlation and a significant gain in operation time.</div>
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<Abstract><AbstractText>Treatment of pelvic and acetabular fractures still poses a major challenge to trauma surgeons. We present a tool for intervention planning for such injuries using patient-specific models built from Computed Tomography data. The presented tool has three main parts: (1) the virtual reduction of the bone fragments, (2) the virtual adaptation of the osteosynthesis implants and (3) Finite Element Analysis (FEA) for testing mechanical behavior of the resulting intervention plan. Our tool provides an intuitive visuo-hapic interface designed to be used by trauma surgeons. The type and size of the osteosynthesis material can be determined and measurements like distances and angles relative to landmarks can be taken. First results of prospectively planned interventions show an excellent correlation and a significant gain in operation time.</AbstractText>
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