Evidence map›Paper›PMID 40958171›Full record

ArticleInnovations (Philadelphia, Pa.)

Application of Augmented Reality in Robot-Assisted Mitral Valve Repair Surgery: A Feasibility Study.

Jette J Peek, Klaus Hildebrandt, Xucong Zhang, Rohit K Kharbanda, Maurice A P Oudeman, Robert J M Klautz, Meindert Palmen, Edris A F Mahtab

Abstract read
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Article in Innovations (Philadelphia, Pa.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jette J PeekDepartment of Cardiothoracic Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-8412-2851
Klaus HildebrandtComputer Graphics and Visualization Lab, TU Delft, The Netherlands.
Xucong ZhangComputer Vision Lab, TU Delft, The Netherlands.ORCID 0000-0002-8368-3542
Rohit K KharbandaDepartment of Cardiothoracic Surgery, Leiden University Medical Center, The Netherlands.
Maurice A P OudemanInstituut voor Hart en Long Chirurgie Nederland (IHLCN; Dutch Institute for Heart and Lung Surgery), Leiden, The Netherlands.
Robert J M KlautzDepartment of Cardiothoracic Surgery, Leiden University Medical Center, The Netherlands.
Meindert PalmenDepartment of Cardiothoracic Surgery, Leiden University Medical Center, The Netherlands.ORCID 0000-0002-7213-5452
Edris A F MahtabDepartment of Cardiothoracic Surgery, Leiden University Medical Center, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn mitral valve surgery, it is important to be aware of adjacent intraoperatively invisible anatomy, to avoid complications and enhance safety. In this feasibility study, we aimed to develop semi-automated intraoperative 3-dimensional (3D) augmented reality (3D-AR) overlays for robotic mitral valve repair.

methodsIn 5 patients undergoing robot-assisted mitral valve repair, a 3D point cloud was generated, using intraoperatively recorded images from both eyes of the stereoscopic da Vinci camera (Intuitive Surgical, Sunnyvale, CA, USA). An intraoperative 3D-AR overlay was created using a scale-adaptive iterative closest point algorithm and landmarks placed on the mitral valve annulus. Finally, important anatomical structures such as the circumflex artery, Koch's triangle, and aortic valve leaflets could be visualized as a 3D-AR overlay on top of the surgical vision. To evaluate the accuracy, these 3D point clouds were validated by calculating the 3D point cloud accuracy and landmark registration error (LRE).

resultsThe 3D point clouds and 3D-AR overlays were successfully created for all 5 patients. The 3D point clouds were accurate, with a median error of -0.92 mm, and the LRE was 5.12 mm. The time for creating the 3D-AR overlay was approximately 5 min. Besides creating the 3D-AR overlays, we could visualize the models directly within the robotic console during the surgical procedure.

conclusionsWe present an algorithm for generating accurate semiautomatic 3D-AR overlays, visualizing essential anatomical structures during robot-assisted mitral valve repair. This may lead to automated intraoperative 3D-AR vision during robotic cardiac surgery, with the potential of increasing safety, accuracy, and efficiency.

Indexed as

Augmented RealityMitral ValveMitral Valve InsufficiencyRobotic Surgical ProceduresSurgery, Computer-AssistedAgedFeasibility StudiesFemaleHumansImaging, Three-DimensionalMaleMiddle Agedaugmented realityimage-guided surgerymitral valve repairrobot assisted

Identifiers

PMID40958171
PMCPMC12701910

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.