A motion correction system for brain tomography based on biologically motivated models

Author

Anishenko, Sergey ; Osinov, Vladislav ; Shaposhnikov, Dmitry ; Podladchikova, Lubov ; Comley, Richard ; Sukholentsev, Konstantin ; Gao, Xiaohong W.

Author_Institution

A.B.Kogan Res. Inst. for Neurocybernetics, Southern Fed. Univ., Rostov on Don

fYear

2008

fDate

9-10 Sept. 2008

Firstpage

1

Lastpage

5

Abstract

A motion correction system for brain tomography is presented, which employs two calibrated video cameras and three vision models (CIECAM´97, RETINA, and BMV). The system is evaluated on the pictures monitoring a subjects head while simulating PET scanning (n=12) and on the face images of subjects with different skin colours (n=31). The results on 2D images with known moving parameters show that motion parameters of rotation and translation along X, Y, and Z directions can be obtained very accurately via the method of facial landmark detection. A feasibility study of the developed algorithms is evaluated by a computer simulation of brain scanning procedures.

Keywords

computerised tomography; image motion analysis; medical image processing; video cameras; BMV model; CIECAM´97 model; PET scanning; RETINA model; brain tomography; calibrated video camera; face images; facial landmark detection; motion correction system; motion parameters; vision model; Biological system modeling; Brain modeling; Cameras; Face detection; Head; Monitoring; Motion detection; Positron emission tomography; Retina; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on

Conference_Location

London

Print_ISBN

978-1-4244-2914-1

Electronic_ISBN

978-1-4244-2915-8

Type

conf

DOI

10.1109/UKRICIS.2008.4798949

Filename

4798949