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Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery

In laparoscopic surgery, the surgeon must operate with a limited field of view and reduced depth perception. This makes spatial understanding of critical structures difficult, such as an endophytic tumour in a partial nephrectomy. Such tumours yield a high complication rate of 47%, and excising them...

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Autores principales: Singla, Rohit, Edgcumbe, Philip, Pratt, Philip, Nguan, Christopher, Rohling, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683195/
https://www.ncbi.nlm.nih.gov/pubmed/29184666
http://dx.doi.org/10.1049/htl.2017.0063
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author Singla, Rohit
Edgcumbe, Philip
Pratt, Philip
Nguan, Christopher
Rohling, Robert
author_facet Singla, Rohit
Edgcumbe, Philip
Pratt, Philip
Nguan, Christopher
Rohling, Robert
author_sort Singla, Rohit
collection PubMed
description In laparoscopic surgery, the surgeon must operate with a limited field of view and reduced depth perception. This makes spatial understanding of critical structures difficult, such as an endophytic tumour in a partial nephrectomy. Such tumours yield a high complication rate of 47%, and excising them increases the risk of cutting into the kidney's collecting system. To overcome these challenges, an augmented reality guidance system is proposed. Using intra-operative ultrasound, a single navigation aid, and surgical instrument tracking, four augmentations of guidance information are provided during tumour excision. Qualitative and quantitative system benefits are measured in simulated robot-assisted partial nephrectomies. Robot-to-camera calibration achieved a total registration error of 1.0 ± 0.4 mm while the total system error is 2.5 ± 0.5 mm. The system significantly reduced healthy tissue excised from an average (±standard deviation) of 30.6 ± 5.5 to 17.5 ± 2.4 cm(3) (p < 0.05) and reduced the depth from the tumor underside to cut from an average (±standard deviation) of 10.2 ± 4.1 to 3.3 ± 2.3 mm (p < 0.05). Further evaluation is required in vivo, but the system has promising potential to reduce the amount of healthy parenchymal tissue excised.
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spelling pubmed-56831952017-11-28 Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery Singla, Rohit Edgcumbe, Philip Pratt, Philip Nguan, Christopher Rohling, Robert Healthc Technol Lett Special Issue on Augmented Environments for Computer-Assisted Interventions In laparoscopic surgery, the surgeon must operate with a limited field of view and reduced depth perception. This makes spatial understanding of critical structures difficult, such as an endophytic tumour in a partial nephrectomy. Such tumours yield a high complication rate of 47%, and excising them increases the risk of cutting into the kidney's collecting system. To overcome these challenges, an augmented reality guidance system is proposed. Using intra-operative ultrasound, a single navigation aid, and surgical instrument tracking, four augmentations of guidance information are provided during tumour excision. Qualitative and quantitative system benefits are measured in simulated robot-assisted partial nephrectomies. Robot-to-camera calibration achieved a total registration error of 1.0 ± 0.4 mm while the total system error is 2.5 ± 0.5 mm. The system significantly reduced healthy tissue excised from an average (±standard deviation) of 30.6 ± 5.5 to 17.5 ± 2.4 cm(3) (p < 0.05) and reduced the depth from the tumor underside to cut from an average (±standard deviation) of 10.2 ± 4.1 to 3.3 ± 2.3 mm (p < 0.05). Further evaluation is required in vivo, but the system has promising potential to reduce the amount of healthy parenchymal tissue excised. The Institution of Engineering and Technology 2017-09-11 /pmc/articles/PMC5683195/ /pubmed/29184666 http://dx.doi.org/10.1049/htl.2017.0063 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Special Issue on Augmented Environments for Computer-Assisted Interventions
Singla, Rohit
Edgcumbe, Philip
Pratt, Philip
Nguan, Christopher
Rohling, Robert
Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title_full Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title_fullStr Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title_full_unstemmed Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title_short Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
title_sort intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
topic Special Issue on Augmented Environments for Computer-Assisted Interventions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683195/
https://www.ncbi.nlm.nih.gov/pubmed/29184666
http://dx.doi.org/10.1049/htl.2017.0063
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