DocumentCode :
2476900
Title :
3D Reconstruction of Tumors for Applications in Laparoscopy Using Conformal Geometric Algebra
Author :
Machucho-Cadena, R. ; Bayro-Corrochano, E.
Author_Institution :
CINVESTAV, Unidad Guadalajara, Zapopan, Mexico
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
2532
Lastpage :
2535
Abstract :
This paper presents a method for 3D reconstruction of tumors for applications in laparoscopy. This uses stereo endoscopic ultrasound images, which are simultaneously recorded. To do this, the ultrasound probe is tracked throughout the stereo endoscopic images using a particle filter and an auxiliary method based on thresholding in the HSV-space is used in order to improve the tracking. Then, the 3D pose of the ultrasound probe is calculated using conformal geometric algebra. The 2D ultrasound images have been segmented using two methods: the level sets method and morphological operators, and a comparison between their performances has been done. Finally, the processed ultrasound images are compounded into a 3D volume, using the calculated ultrasound pose.
Keywords :
algebra; biomedical ultrasonics; endoscopes; geometry; image reconstruction; medical image processing; particle filtering (numerical methods); set theory; stereo image processing; tumours; 3D tumors reconstruction; HSV-space; conformal geometric algebra; laparoscopy; level sets method; morphological operators; particle filter; stereo endoscopic ultrasound images; ultrasound probe 3D pose; Cameras; Histograms; Level set; Probes; Three dimensional displays; Tumors; Ultrasonic imaging; conformal geometric algebra; medical imaging; neurosonography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.620
Filename :
5595763
Link To Document :
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