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Grant: Research Tools and Instruments

University of Alberta

$111,403.00

Robotic Needle Placement Using Multiview Ultrasound Imaging

EF 2022-23

Résumé
Accurate needle positioning is essential for many medical procedures, including biopsies and radiotherapy. Ultrasound imaging is commonly used to guide the needle to the target region. However, this continues to be a challenge due to the user's reliance on image quality, limited field of view and moving target. In this research, we will develop a new approach whereby a robotic guided needle is moved semi-autonomously to a target using an ultrasound probe mounted on a second robot. Three-dimensional tracking is essential in this case because the precise navigation of the needle toward a target relies on knowing exactly where the ultrasound probe and the needle are relative to the target. If the location of the two elements is not accurately followed, the overall accuracy of the procedure is compromised. In addition, accurate tracking affects procedure safety, patient comfort and overall usability of the device. In terms of imaging, a robotic arm was recently instrumented at the Mazankowski Heart Institute with an ultrasonic probe. Multiview ultrasound imaging is accomplished by measuring the position and orientation of the ultrasound probe using the angle sensors in the robotic arm and then fusing these Multiview images into a new image with a larger field of view and improved image quality. Similar to this approach, we would like to purchase a second medical-grade robotic arm to help localize and direct the needle to the target. Both robots will be synchronized within a shared coordinate system and control loop. Using a supervisory control approach, such a system could help clinicians guide the needle more accurately toward the target by adding extra functionalities such as a 3D display of the needle location relative to the target and surrounding organs using the fusion of MRI and ultrasound imaging, collision avoidance, the ability to deal with moving targets, and eventually to automate the entire navigation procedure. We would like to buy a medical grade KUKA LBR Med 7 R800 robot to control the needle insertion. The medical grade is essential because it is the robot responsible for eventually moving the needle into a patient's body.
Programme
Research Tools and Instruments
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RTI-2023-00329
Name nom
Boulanger, Pierre
Department département
Computing Science - Computing Science
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2023
Award amount
111403
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1607
Committee name en
Computer, Mathematical and Statistical Sciences (RTI)
Committee name fr
Sciences informatiques, mathématiques et statistiques (OIR)
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:1
Partie
1
Nb partie
1
Application title
Robotic Needle Placement Using Multiview Ultrasound Imaging
Application summary
Accurate needle positioning is essential for many medical procedures, including biopsies and radiotherapy. Ultrasound imaging is commonly used to guide the needle to the target region. However, this continues to be a challenge due to the user's reliance on image quality, limited field of view and moving target. In this research, we will develop a new approach whereby a robotic guided needle is moved semi-autonomously to a target using an ultrasound probe mounted on a second robot. Three-dimensional tracking is essential in this case because the precise navigation of the needle toward a target relies on knowing exactly where the ultrasound probe and the needle are relative to the target. If the location of the two elements is not accurately followed, the overall accuracy of the procedure is compromised. In addition, accurate tracking affects procedure safety, patient comfort and overall usability of the device. In terms of imaging, a robotic arm was recently instrumented at the Mazankowski Heart Institute with an ultrasonic probe. Multiview ultrasound imaging is accomplished by measuring the position and orientation of the ultrasound probe using the angle sensors in the robotic arm and then fusing these Multiview images into a new image with a larger field of view and improved image quality. Similar to this approach, we would like to purchase a second medical-grade robotic arm to help localize and direct the needle to the target. Both robots will be synchronized within a shared coordinate system and control loop. Using a supervisory control approach, such a system could help clinicians guide the needle more accurately toward the target by adding extra functionalities such as a 3D display of the needle location relative to the target and surrounding organs using the fusion of MRI and ultrasound imaging, collision avoidance, the ability to deal with moving targets, and eventually to automate the entire navigation procedure. We would like to buy a medical grade KUKA LBR Med 7 R800 robot to control the needle insertion. The medical grade is essential because it is the robot responsible for eventually moving the needle into a patient's body.