Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Real and simulated endoscopy of neurosurgical approaches in an anatomical model
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Pattern Recognition Letters - Special issue: Advances in pattern recognition
Omnidirectional Vision Tracking with Particle Filter
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Joint Freehand Ultrasound and Endoscopic Reconstruction of Brain Tumors
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm
IITSI '10 Proceedings of the 2010 Third International Symposium on Intelligent Information Technology and Security Informatics
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Expert Systems with Applications: An International Journal
Hi-index | 12.07 |
Recent trends in minimally invasive brain surgery aim at using the joint acquisition of endoscopic and ultrasound images, a technique called endoneurosonography (ENS). Endoscopic images are useful, but they cannot provide information beyond opaque structures; therefore, it is necessary to complement them with other medical images. In this sense, ultrasound images provide a good option because they are cheap and easy to acquire in intraoperative scenarios. This paper presents a methodology for acquiring 3D information on brain structures using endoneurosonography. The endoscopic cameras and the ultrasound sensor are inserted into the brain during surgery. The information from the endoscopic cameras is used for stereo reconstruction, while the ultrasound information is used to segment regions of interest. The aim of this work is solving four specific problems: calibration of the endoscopic system; tracking of the ultrasound probe through endoscopic images; segmentation of brain structures from ultrasound images; and 3D reconstruction of brain tumors. At the end of the paper, the complete methodology is explained and experiments are done on an ENS database of brain phantoms.