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Grant: Collaborative Health Research Projects

University of Western Ontario

$64,387.00

A novel platform for minimally invasive tumor localization and treatment

FY 2012-13

Summary
Lung cancer remains the most common cancer and the most common cause of death from cancer in North America. Secondary effects of treating cancer may be mitigated through a minimally invasive approach. While promising, all minimally invasive surgery and therapy (MIST) methods suffer from the same problem: without direct access to the target tissues, reliable and accurate tumour localization remains a formidable challenge. The objective of this research is to develop and validate a system for MIST, with particular emphasis on lung cancer, which provides accurate tumour localization through the integration of tracked and fused kinesthetic, tactile, ultrasound (US), and computed tomography (CT) data, and enables accurate delivery of ablative therapies. The proposed research will consist of the following steps: 1. Develop a minimally invasive mechatronic tool capable of performing multi-modal tumour localization. This device will collect data from tactile, force, position and US imaging sensors that will be fused to provide robust and accurate localization data. 2. Develop patient-specific procedures that allow tracking of lung tumours with respect to known anatomical landmarks using preoperative CT and intraoperative US in order to compensate for the effect of insufflation, lung deflation, respiration, and patient motion. 3. Develop a sensor fusion strategy that combines the intraoperative multi-sensor data from the tumour localization instrument with patient-specific preoperative CT. 4. Develop modular minimally invasive ""smart"" instruments for image-guided tumour ablation. These instruments will allow precise delivery of probe- and needle-based ablative therapies, and will incorporate real-time position tracking and provide active tremor compensation. 5. Integrate the above elements into a complete surgical platform that presents the information effectively for increased safety and reliability. The outcomes of procedures performed with the proposed system will be compared to those performed using current MIST techniques to assess the effectiveness of the system. Evaluation will progress through tissue phantoms, ex vivo tissue and in vivo animal trials.
Program
Collaborative Health Research Projects
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
398137-2011
Name nom
Patel, Rajnikant
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2011
Award amount
64387
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
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
2
Nb partie
3
Application title
A novel platform for minimally invasive tumor localization and treatment
Keyword
NSERC
Application summary
Lung cancer remains the most common cancer and the most common cause of death from cancer in North America. Secondary effects of treating cancer may be mitigated through a minimally invasive approach. While promising, all minimally invasive surgery and therapy (MIST) methods suffer from the same problem: without direct access to the target tissues, reliable and accurate tumour localization remains a formidable challenge. The objective of this research is to develop and validate a system for MIST, with particular emphasis on lung cancer, which provides accurate tumour localization through the integration of tracked and fused kinesthetic, tactile, ultrasound (US), and computed tomography (CT) data, and enables accurate delivery of ablative therapies. The proposed research will consist of the following steps: 1. Develop a minimally invasive mechatronic tool capable of performing multi-modal tumour localization. This device will collect data from tactile, force, position and US imaging sensors that will be fused to provide robust and accurate localization data. 2. Develop patient-specific procedures that allow tracking of lung tumours with respect to known anatomical landmarks using preoperative CT and intraoperative US in order to compensate for the effect of insufflation, lung deflation, respiration, and patient motion. 3. Develop a sensor fusion strategy that combines the intraoperative multi-sensor data from the tumour localization instrument with patient-specific preoperative CT. 4. Develop modular minimally invasive ""smart"" instruments for image-guided tumour ablation. These instruments will allow precise delivery of probe- and needle-based ablative therapies, and will incorporate real-time position tracking and provide active tremor compensation. 5. Integrate the above elements into a complete surgical platform that presents the information effectively for increased safety and reliability. The outcomes of procedures performed with the proposed system will be compared to those performed using current MIST techniques to assess the effectiveness of the system. Evaluation will progress through tissue phantoms, ex vivo tissue and in vivo animal trials.