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Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
- Source :
- Healthcare Technology Letters (2017)
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- 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.
- Subjects :
- biomedical ultrasonics
surgery
kidney
augmented reality
medical robotics
tumours
cancer
calibration
healthy parenchymal tissue
registration error
robot-to-camera calibration
robot-assisted partial nephrectomies
tumour excision
single navigation aid
surgical instrument tracking
endophytic tumour
laparoscopic surgery
intra-operative ultrasound-based augmented reality guidance
Medical technology
R855-855.5
Subjects
Details
- Language :
- English
- ISSN :
- 20533713
- Database :
- Directory of Open Access Journals
- Journal :
- Healthcare Technology Letters
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fb7c623797284530af927cd7030a5c4b
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/htl.2017.0063