{"id":2352,"date":"2024-03-09T06:01:57","date_gmt":"2024-03-09T06:01:57","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/johnathan-boisvert\/"},"modified":"2024-03-09T06:01:57","modified_gmt":"2024-03-09T06:01:57","slug":"johnathan-boisvert","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/johnathan-boisvert\/","title":{"rendered":"Johnathan Boisvert"},"content":{"rendered":"
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Johnathan Boisvert<\/h1>\n<\/div>\n
Postdoctoral Fellow<\/div>\n
School of Computing<\/div>\n
Queen’s University<\/div>\n
Member from 2007<\/em> to 2008<\/em><\/div>\n
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Gill, Sean; Abolmaesumi, Purang; Fichtinger, Gabor; Boisvert, Jonathan; Pichora, David; Borshneck, Dan; Mousavi, Parvin<\/p>

Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine<\/a> Journal Article<\/span> <\/p>

In: <\/span>Medical image analysis, <\/span>vol. 16, <\/span>iss. 3, <\/span>pp. 662-674, <\/span>2012<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{fichtinger2012b,
\r\ntitle = {Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine},
\r\nauthor = {Sean Gill and Purang Abolmaesumi and Gabor Fichtinger and Jonathan Boisvert and David Pichora and Dan Borshneck and Parvin Mousavi},
\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361841510001003},
\r\nyear  = {2012},
\r\ndate = {2012-01-01},
\r\njournal = {Medical image analysis},
\r\nvolume = {16},
\r\nissue = {3},
\r\npages = {662-674},
\r\npublisher = {Elsevier},
\r\nabstract = {We present a groupwise US to CT registration algorithm for guiding percutaneous spinal interventions. In addition, we introduce a comprehensive validation scheme that accounts for changes in the curvature of the spine between preoperative and intraoperative imaging. In our registration methodology, each vertebra in CT is treated as a sub-volume and transformed individually. A biomechanical model is used to constrain the displacement of the vertebrae relative to one another. The sub-volumes are then reconstructed into a single volume. During each iteration of registration, an US image is simulated from the reconstructed CT volume and an intensity-based similarity metric is calculated with the real US image. Validation studies are performed on CT and US images from a sheep cadaver, five patient-based phantoms designed to preserve realistic curvatures of the spine and a sixth patient-based phantom where \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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We present a groupwise US to CT registration algorithm for guiding percutaneous spinal interventions. In addition, we introduce a comprehensive validation scheme that accounts for changes in the curvature of the spine between preoperative and intraoperative imaging. In our registration methodology, each vertebra in CT is treated as a sub-volume and transformed individually. A biomechanical model is used to constrain the displacement of the vertebrae relative to one another. The sub-volumes are then reconstructed into a single volume. During each iteration of registration, an US image is simulated from the reconstructed CT volume and an intensity-based similarity metric is calculated with the real US image. Validation studies are performed on CT and US images from a sheep cadaver, five patient-based phantoms designed to preserve realistic curvatures of the spine and a sixth patient-based phantom where \u2026<\/div>
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