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Tracking of Brain Tumors using Vision and Neurosonography
Author(s) -
Rubén Machucho-Cadena,
Sergio de la Cruz Rodríguez,
Eduardo BayroCorrochano
Publication year - 2010
Publication title -
applied bionics and biomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 23
eISSN - 1754-2103
pISSN - 1176-2322
DOI - 10.1155/2010/496754
Subject(s) - hough transform , computer vision , tracking (education) , artificial intelligence , computer science , position (finance) , conformal map , image (mathematics) , mathematics , geometry , psychology , pedagogy , finance , economics
We have developed a method to render brain tumours from endoneurosonography. We propose to track an ultrasound probe in successive endoscopic images without relying on an external optic or magnetic tracking system. The probe is tracked using two different methods: one of them based on a generalised Hough transform and the other one based on particle filters. By estimating the pose of the ultrasound probe in several contiguous images, we use conformal geometric algebra to compute the geometric transformations that yield the 3D position of the tumour, which was segmented in the ultrasound image using morphological operators. We use images from brain phantoms to evaluate the performance of the proposed methods, and our results show that they are robust.

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