{"id":2368,"date":"2024-03-09T15:54:01","date_gmt":"2024-03-09T15:54:01","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/pascal-fallavollita\/"},"modified":"2024-03-09T15:54:01","modified_gmt":"2024-03-09T15:54:01","slug":"pascal-fallavollita","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/pascal-fallavollita\/","title":{"rendered":"Pascal Fallavollita"},"content":{"rendered":"
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Pascal Fallavollita<\/h1>\n<\/div>\n
Postdoctoral Fellow<\/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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pascal.fallavollita@polymtl.ca<\/a><\/div>\n
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Filippo, Chiara Amat San; Fichtinger, Gabor; Morris, William James; Salcudean, Septimiu E; Dehghan, Ehsan; Fallavollita, Pascal<\/p>

Intraoperative segmentation of iodine and palladium radioactive sources in C-arm images<\/a> Journal Article<\/span> <\/p>

In: <\/span>International journal of computer assisted radiology and surgery, <\/span>vol. 9, <\/span>pp. 769-776, <\/span>2014<\/span>.<\/p>

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

@article{fichtinger2014m,
\r\ntitle = {Intraoperative segmentation of iodine and palladium radioactive sources in C-arm images},
\r\nauthor = {Chiara Amat San Filippo and Gabor Fichtinger and William James Morris and Septimiu E Salcudean and Ehsan Dehghan and Pascal Fallavollita},
\r\nurl = {https:\/\/link.springer.com\/article\/10.1007\/s11548-014-0983-2},
\r\nyear  = {2014},
\r\ndate = {2014-01-01},
\r\njournal = {International journal of computer assisted radiology and surgery},
\r\nvolume = {9},
\r\npages = {769-776},
\r\npublisher = {Springer Berlin Heidelberg},
\r\nabstract = {Purpose 
\r\n Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. For this, it is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. A method was developed to obtain a robust and precise segmentation of seeds in C-arm images, and this approach was tested using clinical datasets. 
\r\nMethod 
\r\n A region-based implicit active contour approach was used to delineate implanted seeds. Then, a template-based matching was employed to segment iodine implants whereas a K-means algorithm is implemented to resolve palladium seed clusters. To validate the method, 55 C-arm images from 10 patients were used for the segmentation of iodine sources, whereas 225 C-arm images from 16 patients were used for the palladium case \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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Close<\/a><\/p><\/div>
Purpose 
\r\n Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. For this, it is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. A method was developed to obtain a robust and precise segmentation of seeds in C-arm images, and this approach was tested using clinical datasets. 
\r\nMethod 
\r\n A region-based implicit active contour approach was used to delineate implanted seeds. Then, a template-based matching was employed to segment iodine implants whereas a K-means algorithm is implemented to resolve palladium seed clusters. To validate the method, 55 C-arm images from 10 patients were used for the segmentation of iodine sources, whereas 225 C-arm images from 16 patients were used for the palladium case \u2026<\/div>
Close<\/a><\/p><\/div>