Navigation of iliac crest graft harvest using markerless augmented reality and cutting guide technology: A pilot study
Autor: | Frank Hölzle, Philipp Winnand, Marius Heitzer, Stefan Raith, Nassim Ayoub, Ali Modabber, Dirk Abel, Florian Peters, Jonas Gesenhues, Tim Redick |
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Rok vydání: | 2021 |
Předmět: |
Computer-assisted surgery
Orthodontics Augmented Reality Computer science business.industry medicine.medical_treatment Use of time Biophysics Usability Pilot Projects Iliac crest Computer Science Applications Ilium medicine.anatomical_structure Imaging Three-Dimensional Surgery Computer-Assisted medicine Cutting guide Facial skeleton Humans Surgery Augmented reality business Real time navigation |
Zdroj: | The international journal of medical robotics + computer assisted surgery : MRCASREFERENCES. 18(1) |
ISSN: | 1478-596X |
Popis: | Background Defects of the facial skeleton often require complex reconstruction with vascularized grafts. This trial elucidated the usability, visual perception and accuracy of a markerless augmented reality (AR)-guided navigation for harvesting iliac crest transplants. Methods Random CT scans were used to virtually plan two common transplant configurations on 10 iliac crest models, each printed four times. The transplants were harvested using projected AR and cutting guides. The duration and accuracies of the angulation, distance and volume between the planned and executed osteotomies were measured. Results AR was characterized by the efficient use of time and accurate rendition of preoperatively planned geometries. However, vertical osteotomies and complex anatomical settings displayed significant inferiority of AR guidance compared to cutting guides. Conclusions This study demonstrated the usability of a markerless AR setup for harvesting iliac crest transplants. The visual perception and accuracy of the AR-guided osteotomies constituted remaining weaknesses against cutting guide technology. |
Databáze: | OpenAIRE |
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