The goal of the project is to develop the detached system able to detect head motion and estimate head pose during Positron Emission Tomography. Information about pose can be used to correct brain images to preserve its resolution and to ensure that quantitative data are preserved as accurately as possible.
Positron Emission Tomography (PET) is a relatively lengthy procedure with a typical scanning time of up to one hour. It is therefore difficult for a subject to remain still during the data acquisition period. However, even relatively small head motions may significantly degrade the image resolution, and hence the quantitative accuracy of PET brain studies. In addition, head motion also causes misalignment between the emission and transmission scan data, leading to erroneous correction for photon attenuation. It is particularly important for dedicated brain scanners. Comparing with multipurpose scanners, it can use smaller detectors and, therefore, produce higher-resolution images.
- S. Anishchenko, "Head Motion Detection via Video Cameras", PhD Thesis, Middlesex University, London, UK, 2012.
- A. Vtyurina, S. Anishchenko, M. Petrushan, D. Shaposhnikov Video-based analysis of human motor activity for functional state estimation // In Proc. XVI International Conference on Neurocybernetics, 2012, Rostov-on-Don, Russia. - v.2. - p. 254-256.
- S. Anishchenko, A. Labantcev, I. Shepelev Facial image features for head pose estimation // In Proc. XVI International Conference on Neurocybernetics, 2012, Rostov-on-Don, Russia. - v.2. - p. 226-229.
- S. Anishchenko, R. Hui, Y.K. Liang, Z.M. Tian, W.S. Lu, R. Comley, X. Gao Quality estimation of motion correction for pet brain images // In Proc. XVI International Conference on Neurocybernetics, 2012, Rostov-on-Don, Russia. - v.2. - p. 222-225.
- M. Petrushan, Y. Vermenko, D. Shaposhnikov, S. Anishchenko Analysis of colour- and grayscale- based feature description for image matching // Proceedings of 8th Open German/Russian Workshop on Pattern Recognition and Image Understanding, OGRW-8-2011, 2011, Nizhny Novgorod, Russia, pp. 237-239
- S. I. Anishchenko, B. A. Osinov, and D. G. Shaposhnikov. Head Pose Estimation in Solving Human–Computer Interaction Problems // Pattern Recognition and Image Analysis – Pleiades Publishing 2011, Volume 21, Number 3, pp. 446-449
- S. Anishchenko, V. Osinov, D. Shaposhnikov. Head pose estimation for tasks of the Human-computer interaction. // In Proc. of 10-th Int. Conf. on Pattern Recognition and Image Analisys: New Information Technologies, 2010. - V.2. - P.233-236.
- Anishenko S., Shaposhnikov D., Comley R., Gao X. Colour based approach for face segmentation from video images under low luminance levels. // Proc. the 11th IASTED Int. Conf. on Computer Graphics and Imaging Innsbruck, Austria, - 2010. – P.184-189.
- S. Anishenko, D. Shaposhnikov, R. Comley, X. Gao. Head pose estimation. // Abstract in poster session booklet. International Computer Vision Summer School 2010 Registration and Video Analysis, Italy, 2010. - P.4.
- Anishenko S., Shaposhnikov D., Comley R., Gao X. Facial images segmentation based on mixed color space. // Proc. Int. Conf. on Neurocyber. - 2009. - vol.2. - ð.231-234.
- Anishchenko S., Osinov V., Shaposhnikov D., Podlachikova L., Comley R., Gao X.W. Toward a Robust System to Monitor Head Motions during PET Based on Facial Landmark Detection: a New Approach. // In proc. 21-st IEEE Int. Symp. On Comp.-Based Med. Sys. - Finland, 2008. – ðp. 50-52.
- Anishenko S., Osinov V., Shaposhnikov D., Podladchikova L., Comley R., Sukholentsev K., Gao X. A Motion Correction System for Brain Tomography Based on Biologically Motivated Models. // In Proc. 7-th IEEE Int. Conf. on Cybernetic Intelligent Sys.. – London, UK, 2008. – pp. 32-36.
For further information please contact Sergey Anishchenko.
Page created: 03.04.2013, modified: 14.10.2013