Volumetric difference evaluation of registered three-dimensional preoperative and postoperative CT volumes

Economopoulos, TL; Asvestas, PA; Matsopoulos, GK; Molnar, B; Windisch, P

dc.contributor.author	Economopoulos, TL	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Molnar, B	en
dc.contributor.author	Windisch, P	en
dc.date.accessioned	2014-03-01T02:47:11Z
dc.date.available	2014-03-01T02:47:11Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33019
dc.subject	Ct Scan	en
dc.subject	Three Dimensional	en
dc.subject	Area of Interest	en
dc.subject	Cone Beam	en
dc.subject	Region of Interest	en
dc.subject.other	3D data	en
dc.subject.other	Affine model	en
dc.subject.other	Alveolar regions	en
dc.subject.other	Areas of interests	en
dc.subject.other	Cone beam data	en
dc.subject.other	CT scan	en
dc.subject.other	CT volume	en
dc.subject.other	Regions of interest	en
dc.subject.other	Subtraction radiography	en
dc.subject.other	Algorithms	en
dc.subject.other	Information technology	en
dc.subject.other	Radiology	en
dc.subject.other	Rating	en
dc.subject.other	Three dimensional	en
dc.subject.other	Computerized tomography	en
dc.title	Volumetric difference evaluation of registered three-dimensional preoperative and postoperative CT volumes	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2010.5687753	en
heal.identifier.secondary	5687753	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2010.5687753	en
heal.publicationDate	2010	en
heal.abstract	A methodology is presented for registering threedimensional preoperative and postoperative CT scan volumes and for evaluating their differences in selected areas of interest. The proposed method was applied to CT cone beam data from ten patients in order to assess the volume of augmented bone in the alveolar region. A 3D affine model was used to align the preoperative and postoperative data. The differences between the aligned sets were assessed through subtraction radiography. The volume of the differences was finally evaluated by defining regions of interest in each slice of the subtracted 3D data. Both quantitative and qualitative results were obtained after applying the method to all sets. The effectiveness of the volumetric assessment algorithm was verified by applying the algorithm to an object of known volume. © 2010 IEEE.	en
heal.journalName	Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB	en
dc.identifier.doi	10.1109/ITAB.2010.5687753	en