A real-time multi-threaded system to detect patient motion in SPECT imaging using multiple optical cameras

IEEE Nuclear Science Symposium Conference Record

Volumn 5, Issue , 2004, Pages 2923-2925

  Morgenstern, Joel D ^a   Gennert, Michael A ^c   Nadella, Suman ^c   Kumar, Neeru ^c   Speckert, Glen C ^d   Bruyant, Philippe P ^b   King, Michael A ^b  

^a Internet Video and Imaging   (United States)

^b UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^c WORCESTER POLYTECHNIC INSTITUTE   (United States)

^d YesTech Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MULTI-THREADED SYSTEM; MULTIPLE OPTICAL CAMERAS; PATIENT MOTION; TIME-STAMPED IMAGES;

ALGORITHMS; COMPUTER ARCHITECTURE; IMAGING SYSTEMS; OPTIMIZATION; REAL TIME SYSTEMS; VIDEO CAMERAS;

MEDICAL IMAGING;

EID: 23844444321     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Gennert MA, Bruyant PP, Narayanan MV, King MA: Detecting patient motion in SPECT imaging using stereo optical cameras. J Nucl Med 43: 222-223P, 2002.
2. Bruyant PP, Gennert MA, Beach RD, King MA: A Robust Visual Tracking System for Motion Detection in SPECT: Validation against the Polaris Infra-Red Tracking System, submitted to IEEE NSS/MIC 2004.
3. A. Shashua and M. Werman. On the Trilinear Tensor of Three Perspective Views and its Underlying Geometry. In Proc. of the International Conference on Computer Vision (ICCV), June 1995, Boston, MA.
4. Nobiki, A.; Naruse, H.; Yabuta, T.; Tateda, M. Accurate multi-viewpoint stereo measurement using nonlinear optimization method. IROS 93, Proceedings of IEEE/RSJ International Conference Page(s): 1851-1856 vol.3