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Grant: Strategic Projects - Group

University of British Columbia

$166,500.00

Real-time image guidance for robot-assisted laparoscopic surgery

EF 2008-09

Résumé
Kidney cancer is the sixth most frequently diagnosed malignancy overall, and is responsible for 2.6% of cancer-related death in Canada. In 2007, 4,900 Canadians were diagnosed with kidney cancer and 1,650 succumbed to it. The most commonly recruited procedure for kidney cancer is laparoscopic radical nephrectomy, which involves removal of the entire kidney; however, an alternative to this is laparoscopic partial nephrectomy which allows removal of only the segment of kidney containing the tumour. Unfortunately, this is a technically challenging operation with the potential for serious complications. This procedure can be performed manually or with robotic assistance. Challenges remain in visualizing the critical anatomy hidden from the laparoscopy camera. The long-term objective of this research is to develop the technology to incorporate ultrasound imaging into robotic assisted laparoscopy for real-time guidance. In particular, this grant will develop novel techniques for the acquisition and analysis of ultrasound images to improve the accuracy, speed and success of robotic partial nephrectomies for cancer treatment. Direct benefits to patients include reduction of positive surgical margins, preservation of vital structures from injury and increased patient survival. The techniques will use multiple types of ultrasound images taken before and during surgery. Robotic laparoscopic surgery for nephrectomy is currently guided by a stereo camera system, so incorporation of ultrasound and computed tomography, along with key anatomical information, will provide enhanced guidance for the surgeon. This new approach will enable more accurate visualization of the locations of tumours, blood vessels, nerves and solid organs. The tools developed in this research will be applicable to other groups performing robotic laparoscopic surgery as well as standard laparoscopic surgery. Key research areas include image registration, elastography, data fusion and surgical user interfaces. Seven highly qualified personnel will be trained in these areas over the period of this project.
Programme
Strategic Projects - Group
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
365074-2008
Name nom
Rohling, Robert
Department département
Electrical and Computer Engineering
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2008
Award amount
166500
Program id
STPGP
Program nane en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1042
Committee name en
Strategic Projects Selection Panel - Biomedical Technologies
Committee name fr
Comité de sélection des projets stratégiques - Technologies biomédicales
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1900
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical engineering
Research subject fr
Génie biomédical
Partie
1
Nb partie
3
Application title
Real-time image guidance for robot-assisted laparoscopic surgery
Keyword
NA
Application summary
Kidney cancer is the sixth most frequently diagnosed malignancy overall, and is responsible for 2.6% of cancer-related death in Canada. In 2007, 4,900 Canadians were diagnosed with kidney cancer and 1,650 succumbed to it. The most commonly recruited procedure for kidney cancer is laparoscopic radical nephrectomy, which involves removal of the entire kidney; however, an alternative to this is laparoscopic partial nephrectomy which allows removal of only the segment of kidney containing the tumour. Unfortunately, this is a technically challenging operation with the potential for serious complications. This procedure can be performed manually or with robotic assistance. Challenges remain in visualizing the critical anatomy hidden from the laparoscopy camera. The long-term objective of this research is to develop the technology to incorporate ultrasound imaging into robotic assisted laparoscopy for real-time guidance. In particular, this grant will develop novel techniques for the acquisition and analysis of ultrasound images to improve the accuracy, speed and success of robotic partial nephrectomies for cancer treatment. Direct benefits to patients include reduction of positive surgical margins, preservation of vital structures from injury and increased patient survival. The techniques will use multiple types of ultrasound images taken before and during surgery. Robotic laparoscopic surgery for nephrectomy is currently guided by a stereo camera system, so incorporation of ultrasound and computed tomography, along with key anatomical information, will provide enhanced guidance for the surgeon. This new approach will enable more accurate visualization of the locations of tumours, blood vessels, nerves and solid organs. The tools developed in this research will be applicable to other groups performing robotic laparoscopic surgery as well as standard laparoscopic surgery. Key research areas include image registration, elastography, data fusion and surgical user interfaces. Seven highly qualified personnel will be trained in these areas over the period of this project.