From medical images to minimally invasive intervention: Computer assistance for robotic surgery.
Identifieur interne : 001231 ( PubMed/Corpus ); précédent : 001230; suivant : 001232From medical images to minimally invasive intervention: Computer assistance for robotic surgery.
Auteurs : Su-Lin Lee ; Mirna Lerotic ; Valentina Vitiello ; Stamatia Giannarou ; Ka-Wai Kwok ; Marco Visentini-Scarzanella ; Guang-Zhong YangSource :
- Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [ 1879-0771 ] ; 2010.
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- KwdEn :
- MESH :
Abstract
Minimally invasive surgery has been established as an important way forward in surgery for reducing patient trauma and hospitalization with improved prognosis. The introduction of robotic assistance enhances the manual dexterity and accuracy of instrument manipulation. Further development of the field in using pre- and intra-operative imaging guidance requires the integration of the general anatomy of the patient with clear pathologic indications and geometrical information for preoperative planning and intra-operative manipulation. It also requires effective visualization and the recreation of haptic and tactile sensing with dynamic active constraints to improve consistency and safety of the surgical procedures. This paper describes key technical considerations of tissue deformation tracking, 3D reconstruction, subject-specific modeling, image guidance and augmented reality for robotic assisted minimally invasive surgery. It highlights the importance of adapting preoperative surgical planning according to intra-operative data and illustrates how dynamic information such as tissue deformation can be incorporated into the surgical navigation framework. Some of the recent trends are discussed in terms of instrument design and the usage of dynamic active constraints and human-robot perceptual docking for robotic assisted minimally invasive surgery.
DOI: 10.1016/j.compmedimag.2009.07.007
PubMed: 19699056
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pubmed:19699056Le document en format XML
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<author><name sortKey="Lee, Su Lin" sort="Lee, Su Lin" uniqKey="Lee S" first="Su-Lin" last="Lee">Su-Lin Lee</name>
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<author><name sortKey="Lerotic, Mirna" sort="Lerotic, Mirna" uniqKey="Lerotic M" first="Mirna" last="Lerotic">Mirna Lerotic</name>
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<author><name sortKey="Vitiello, Valentina" sort="Vitiello, Valentina" uniqKey="Vitiello V" first="Valentina" last="Vitiello">Valentina Vitiello</name>
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<author><name sortKey="Giannarou, Stamatia" sort="Giannarou, Stamatia" uniqKey="Giannarou S" first="Stamatia" last="Giannarou">Stamatia Giannarou</name>
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<author><name sortKey="Visentini Scarzanella, Marco" sort="Visentini Scarzanella, Marco" uniqKey="Visentini Scarzanella M" first="Marco" last="Visentini-Scarzanella">Marco Visentini-Scarzanella</name>
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<front><div type="abstract" xml:lang="en">Minimally invasive surgery has been established as an important way forward in surgery for reducing patient trauma and hospitalization with improved prognosis. The introduction of robotic assistance enhances the manual dexterity and accuracy of instrument manipulation. Further development of the field in using pre- and intra-operative imaging guidance requires the integration of the general anatomy of the patient with clear pathologic indications and geometrical information for preoperative planning and intra-operative manipulation. It also requires effective visualization and the recreation of haptic and tactile sensing with dynamic active constraints to improve consistency and safety of the surgical procedures. This paper describes key technical considerations of tissue deformation tracking, 3D reconstruction, subject-specific modeling, image guidance and augmented reality for robotic assisted minimally invasive surgery. It highlights the importance of adapting preoperative surgical planning according to intra-operative data and illustrates how dynamic information such as tissue deformation can be incorporated into the surgical navigation framework. Some of the recent trends are discussed in terms of instrument design and the usage of dynamic active constraints and human-robot perceptual docking for robotic assisted minimally invasive surgery.</div>
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<Abstract><AbstractText>Minimally invasive surgery has been established as an important way forward in surgery for reducing patient trauma and hospitalization with improved prognosis. The introduction of robotic assistance enhances the manual dexterity and accuracy of instrument manipulation. Further development of the field in using pre- and intra-operative imaging guidance requires the integration of the general anatomy of the patient with clear pathologic indications and geometrical information for preoperative planning and intra-operative manipulation. It also requires effective visualization and the recreation of haptic and tactile sensing with dynamic active constraints to improve consistency and safety of the surgical procedures. This paper describes key technical considerations of tissue deformation tracking, 3D reconstruction, subject-specific modeling, image guidance and augmented reality for robotic assisted minimally invasive surgery. It highlights the importance of adapting preoperative surgical planning according to intra-operative data and illustrates how dynamic information such as tissue deformation can be incorporated into the surgical navigation framework. Some of the recent trends are discussed in terms of instrument design and the usage of dynamic active constraints and human-robot perceptual docking for robotic assisted minimally invasive surgery.</AbstractText>
<CopyrightInformation>Copyright 2009 Elsevier Ltd. All rights reserved.</CopyrightInformation>
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