Use of mixed reality for improved spatial understanding of liver anatomy
| Autor: | Åsmund Avdem Fretland, Bjørn Edwin, Henrik Brun, Davit L. Aghayan, Egidijus Pelanis, Rafael Palomar, Ole Jacob Elle, Rahul Prasanna Kumar |
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| Rok vydání: | 2019 |
| Předmět: |
Liver surgery
Adult Male medicine.medical_specialty Computer science Computed tomography 3d model 03 medical and health sciences 0302 clinical medicine Imaging Three-Dimensional medicine Hepatectomy Humans Segmentation Process (anatomy) Augmented Reality medicine.diagnostic_test Liver Neoplasms Magnetic resonance imaging Middle Aged Magnetic Resonance Imaging Mixed reality Liver anatomy 030220 oncology & carcinogenesis 030211 gastroenterology & hepatology Surgery Female Radiology Tomography X-Ray Computed |
| Zdroj: | MITAT. Minimally invasive therapy & allied technologies |
| ISSN: | 1364-5706 |
| Popis: | Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, especially for parenchyma-sparing hepatectomies. Though medical images are commonly visualized in two dimensions (2D), surgeons need to mentally reconstruct this information in three dimensions (3D) for a spatial understanding of the anatomy. The aim of this work is to investigate whether the use of a 3D model visualized in mixed reality with Microsoft HoloLens increases the spatial understanding of the liver, compared to the conventional way of using 2D images. Material and methods: In this study, clinicians had to identify liver segments associated to lesions. Results: Twenty-eight clinicians with varying medical experience were recruited for the study. From a total of 150 lesions, 89 were correctly assigned without significant difference between the modalities. The median time for correct identification was 23.5 [4–138] s using the magnetic resonance imaging images and 6.00 [1–35] s using HoloLens (p |
| Databáze: | OpenAIRE |
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