ENDOSCOPIC IMAGE ANALYSIS
The main goal of this group is to be able to employ Scopic data as non-invasive intra-operative sensors using vision techniques.
History and Achievements
Registration of endoscopic video to preoperative Data facilitates high-precision surgery. The goal of this group is to be able to accurately track the location of the endoscope in real-time and thus be able to determine endoscope location within the sinus passage. The advantages to being able to do real-time visual tracking are quite substantial as current tool tracking systems for surgeries require additional equipment beyond the endoscope camera that are subject to line-of-sight issue or electro-magnetic distortion depending on the modality of tracking use.
1- Dadashi Serej, A. Ahmadian, S. Kasaei, S. M. SadreHoseini,“ Robust Key-point Extraction and Matching Algorithm based on Wavelet Transform and Information Theory for Point-Based Registration in Endoscopic Sinus Cavity Data”. Springer, Signal, Image & Video Processing, Dec. 2015.
2- Dadashi Serej, A. Ahmadian, S. Mohagheghi, S. M. SadreHoseini,“A New Projected Landmark Method for Reduction of Registration Error in Image Guided Surgery Systems” International Journal of Computer Assisted Radiology and Surgery,2014.
3- Ahmdian, N. Dadashi Serej, S. Karimifard, P. Farnia, “An efficient method for estimating soft tissue deformation based on intraoperative stereo image features and point-based registration” International Journal of Imaging Systems and Technology, vol. 23(4), pp. 294- 303, 2013.
4- Aghanouri, M., A. Ghaffari, and N. Dadashi. “Image-based localization of the active wireless capsule endoscope inside the stomach.” Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on. IEEE, 2017.
Open for PhD and Master’s students