PURPOSE: In prostate brachytherapy, intraoperative dosimetry would allow for evaluation of the implant quality while the patient is still in treatment position. Such a mechanism, however, requires 3-D visualization of the deposited seeds relative to the prostate. It follows that accurate and robust seed segmentation is of critical importance in achieving intraoperative dosimetry. METHODS: Implanted iodine brachytherapy seeds are segmented via a region-based implicit active contour model. Overlapping seed groups are then resolved using a template-based declustering technique. RESULTS: Ground truth seed coordinates were obtained through manual segmentation. A total of 57 clinical C-arm images from 10 patients were used to validate the proposed algorithm. This resulted in two failed images and a 96.0% automatic detection rate with a corresponding 2.2% false-positive rate in the remaining 55 images. The mean centroid error between the manual and automatic segmentations was 1.2 pixels. CONCLUSIONS: Robust and accurate iodine seed segmentation can be achieved through the proposed segmentation workflow.
PURPOSE: In prostate brachytherapy, intraoperative dosimetry would allow for evaluation of the implant quality while the patient is still in treatment position. Such a mechanism, however, requires 3-D visualization of the deposited seeds relative to the prostate. It follows that accurate and robust seed segmentation is of critical importance in achieving intraoperative dosimetry. METHODS: Implanted iodine brachytherapy seeds are segmented via a region-based implicit active contour model. Overlapping seed groups are then resolved using a template-based declustering technique. RESULTS: Ground truth seed coordinates were obtained through manual segmentation. A total of 57 clinical C-arm images from 10 patients were used to validate the proposed algorithm. This resulted in two failed images and a 96.0% automatic detection rate with a corresponding 2.2% false-positive rate in the remaining 55 images. The mean centroid error between the manual and automatic segmentations was 1.2 pixels. CONCLUSIONS: Robust and accurate iodine seed segmentation can be achieved through the proposed segmentation workflow.
Authors: S Nag; J P Ciezki; R Cormack; S Doggett; K DeWyngaert; G K Edmundson; R G Stock; N N Stone; Y Yu; M J Zelefsky Journal: Int J Radiat Oncol Biol Phys Date: 2001-12-01 Impact factor: 7.038
Authors: Junghoon Lee; Christian Labat; Ameet K Jain; Danny Y Song; Everette Clif Burdette; Gabor Fichtinger; Jerry L Prince Journal: IEEE Trans Med Imaging Date: 2010-07-19 Impact factor: 10.048
Authors: Nathanael Kuo; Anton Deguet; Danny Y Song; Everette C Burdette; Jerry L Prince; Junghoon Lee Journal: Med Eng Phys Date: 2011-07-29 Impact factor: 2.242
Authors: Ehsan Dehghan; Ameet K Jain; Mehdi Moradi; Xu Wen; W James Morris; Septimiu E Salcudean; Gabor Fichtinger Journal: Med Image Anal Date: 2011-06-07 Impact factor: 8.545
Authors: Ahmedin Jemal; Freddie Bray; Melissa M Center; Jacques Ferlay; Elizabeth Ward; David Forman Journal: CA Cancer J Clin Date: 2011-02-04 Impact factor: 508.702
Authors: Chiara Amat di San Filippo; Gabor Fichtinger; William James Morris; Septimiu E Salcudean; Ehsan Dehghan; Pascal Fallavollita Journal: Int J Comput Assist Radiol Surg Date: 2014-02-07 Impact factor: 2.924