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Grant: Discovery Grants Program - Individual

Université d'Ottawa

$35,000.00

Ultrasound-MRI Registration for Minimally Invasive, Radiation-Free Spine Surgery

EF 2023-24

Résumé
Medical doctors look for technological innovations in minimally invasive and radiation-free solutions. Typical spine surgery relies on two main imaging components; (i) Preoperative imaging : A high quality diagnostic technique using MRI or CT and (ii) Intraoperative imaging: Real time imaging and visualization using either fluoroscopy, C-Arm or ultrasound, used for guidance of the procedure and typically selected for its low cost or/and real time feedback. Current problems with these procedures are that they rely heavily on human factors such as the physician's expertise and experience to perform a cognitive registration of the two image sets. Considering only radiation safety and cost, ultrasound is the best choice, but ultrasound imaging is difficult to interpret unless performed by very experienced professionals. It is difficult to identify the target location in the images due to freehand nature of the manipulation and noise levels which are substantially higher than CT/MRI. When fluoroscopy or a C-Arm are used for real time imaging, the images are clearer and it is easier to find lesions than with ultrasound, but radiation exposure of both patient and surgeon during surgical procedures is a serious problem. Our proposal is real-time 2D ultrasound imaging registered to static 3D MRI imaging for minimally invasive spine surgery while still ensuring real-time high quality imaging visualization. The main idea is to actively guide an ultrasound probe to scan the target lesion and register it at spots shown in the MRI and then perform feature detection/tracking on ultrasound images for detailed and higher degree registration using various deep learning methods. Commercial registration hardware/software is available, but nothing that provides radiation-free and minimally invasive solutions. Minimally invasive surgery will help patients to recover faster while operation costs will be lowered by eliminating C-arm use during surgery, but the greatest benefits derived from the radiation-free nature of the process. The research outcome will promote the use of ultrasound imaging in spine surgery, providing a safer environment for both patient and surgeon.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2020-07163
Name nom
Lee, WonSook
Department département
Electrical Engineering and Computer Scienece
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
35000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
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
1901
Research subject group en
Biomedical engineering
Research subject group fr
Biomedical technology
Research subject en
Génie biomédical
Research subject fr
Technologie biomédicale
Application title
Ultrasound-MRI Registration for Minimally Invasive, Radiation-Free Spine Surgery
Keyword
3D modeling; 3D printer; Machine Learning; Minimally invasive surgery; MRI; Multimodal registration; Radiation; Segmentation; Spine; Ultrasound
Application summary
Medical doctors look for technological innovations in minimally invasive and radiation-free solutions. Typical spine surgery relies on two main imaging components; (i) Preoperative imaging : A high quality diagnostic technique using MRI or CT and (ii) Intraoperative imaging: Real time imaging and visualization using either fluoroscopy, C-Arm or ultrasound, used for guidance of the procedure and typically selected for its low cost or/and real time feedback. Current problems with these procedures are that they rely heavily on human factors such as the physician's expertise and experience to perform a cognitive registration of the two image sets. Considering only radiation safety and cost, ultrasound is the best choice, but ultrasound imaging is difficult to interpret unless performed by very experienced professionals. It is difficult to identify the target location in the images due to freehand nature of the manipulation and noise levels which are substantially higher than CT/MRI. When fluoroscopy or a C-Arm are used for real time imaging, the images are clearer and it is easier to find lesions than with ultrasound, but radiation exposure of both patient and surgeon during surgical procedures is a serious problem. Our proposal is real-time 2D ultrasound imaging registered to static 3D MRI imaging for minimally invasive spine surgery while still ensuring real-time high quality imaging visualization. The main idea is to actively guide an ultrasound probe to scan the target lesion and register it at spots shown in the MRI and then perform feature detection/tracking on ultrasound images for detailed and higher degree registration using various deep learning methods. Commercial registration hardware/software is available, but nothing that provides radiation-free and minimally invasive solutions. Minimally invasive surgery will help patients to recover faster while operation costs will be lowered by eliminating C-arm use during surgery, but the greatest benefits derived from the radiation-free nature of the process. The research outcome will promote the use of ultrasound imaging in spine surgery, providing a safer environment for both patient and surgeon.