dc.contributor.advisor | Pichardo, Samuel | |
dc.contributor.author | MacDonald, Matthew A. | |
dc.date.accessioned | 2019-12-05T20:43:10Z | |
dc.date.available | 2019-12-05T20:43:10Z | |
dc.date.created | 2016 | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://knowledgecommons.lakeheadu.ca/handle/2453/4527 | |
dc.description.abstract | Magnetic Resonance Image (MRI)-guided interventions involving percutaneous biopsies of
lesions, or trajectory alignment with prospective stereotaxy are conducted in real time using rapid
image acquisition. A mechanism of passively localizing a device and calculating its orientation
is desired to improve interventional outcomes in these situations. In this work, we propose and
evaluate an image-based technique to determine the position and alignment of a linearly shaped
interventional device within an ex-vivo tissue specimen. Low resolution 3D orientation scan data
is processed to produce a virtual line tting using principal component analysis. The line tting
algorithm was incorporated into a biopsy needle tracking system implemented with an MRscanner
operated using a footswitch. A GUI application was written to collect foot pedal input
and display automated visualization of device placement inside the scanner room. Placement time
trials (N=3) conducted with this system using porcine muscle and phantom samples suspended
in rigid frames with inserted gadolinium-enhanced targets. The mean targeting error across
all directions was 3:6 mm and 5:1 mm for the phantom trials and ex-vivo trials respectively.
The average entry-to-target time was 247 sec. Device localization during trials was adequate to
contain a 11-gauge titanium biopsy needle within a visualization slice volume of 10 mm after
93:8% of alignments over insertion lengths between 30 mm to 110 mm at insertion angles between
1:4 to 20 from the static magnetic eld and frequency encoding axes. Practical considerations
were identi ed and occupational exposure measurements were collected as part of determining
the system's overall feasibility. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Magnetic Resonance Image (MRI)-guided interventions | en_US |
dc.title | A mechanism for simplified scanner control with application to MRI-guided interventions | en_US |
dc.type | Thesis | en_US |
etd.degree.name | Master of Science | en_US |
etd.degree.level | Master | en_US |
etd.degree.discipline | Engineering : Electrical and Computer | en_US |
etd.degree.grantor | Lakehead University | en_US |