{"id":2373,"date":"2024-03-09T16:00:00","date_gmt":"2024-03-09T16:00:00","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/sean-gill\/"},"modified":"2024-03-09T16:00:00","modified_gmt":"2024-03-09T16:00:00","slug":"sean-gill","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/sean-gill\/","title":{"rendered":"Sean Gill"},"content":{"rendered":"
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Sean Gill<\/h1>\n<\/div>\n
Masters Student<\/div>\n
School of Computing<\/div>\n
Queen’s University<\/div>\n
Member from 2008<\/em> to 2010<\/em><\/div>\n
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Lang, Andrew; Mousavi, Parvin; Gill, Sean; Fichtinger, Gabor; Abolmaesumi, Purang<\/p>

Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine<\/a> Journal Article<\/span> <\/p>

In: <\/span>Medical image analysis, <\/span>vol. 16, <\/span>iss. 3, <\/span>pp. 675-686, <\/span>2012<\/span>.<\/p>

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

@article{fichtinger2012j,
\r\ntitle = {Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine},
\r\nauthor = {Andrew Lang and Parvin Mousavi and Sean Gill and Gabor Fichtinger and Purang Abolmaesumi},
\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361841511001149},
\r\nyear  = {2012},
\r\ndate = {2012-01-01},
\r\njournal = {Medical image analysis},
\r\nvolume = {16},
\r\nissue = {3},
\r\npages = {675-686},
\r\npublisher = {Elsevier},
\r\nabstract = {A method for registration of speckle-tracked freehand 3D ultrasound (US) to preoperative CT volumes of the spine is proposed. We register the US volume to the CT volume by creating individual US \u201csub-volumes\u201d, each consisting of a small section of the entire US volume. The registration proceeds incrementally from the beginning of the US volume to the end, registering every sub-volume, where each sub-volume contains overlapping images with the previous sub-volume. Each registration is performed by generating simulated US images from the CT volume. As a by-product of our registration, the significant drift error common in speckle-tracked US volumes is corrected for. Results are validated through a phantom study of plastic spine phantoms created from clinical patient CT data as well as an animal study using a lamb cadaver. Results demonstrate that we were able to successfully register a speckle-tracked \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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A method for registration of speckle-tracked freehand 3D ultrasound (US) to preoperative CT volumes of the spine is proposed. We register the US volume to the CT volume by creating individual US \u201csub-volumes\u201d, each consisting of a small section of the entire US volume. The registration proceeds incrementally from the beginning of the US volume to the end, registering every sub-volume, where each sub-volume contains overlapping images with the previous sub-volume. Each registration is performed by generating simulated US images from the CT volume. As a by-product of our registration, the significant drift error common in speckle-tracked US volumes is corrected for. Results are validated through a phantom study of plastic spine phantoms created from clinical patient CT data as well as an animal study using a lamb cadaver. Results demonstrate that we were able to successfully register a speckle-tracked \u2026<\/div>
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