Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-08-31
2010-12-28
Johns, Andrew W (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S217000
Reexamination Certificate
active
07860281
ABSTRACT:
To enable a rapid and safe automatic recognition of the position of the catheter, particularly for an electrophysiological examination with an automatic control system of an electrode catheter, a two-stage image evaluation of an x-ray fluoroscopy image is provided. In the first analysis step, frequency polygons are herewith developed as potential locations of the catheter with the aid of structures contained in the image. In the second analysis step, only the previously identified potential catheter positions are investigated with the aid of a template method and the actual catheter position is identified.
REFERENCES:
patent: 4175860 (1979-11-01), Bacus
patent: 5369678 (1994-11-01), Chiu et al.
patent: 5651775 (1997-07-01), Walker et al.
patent: 5926568 (1999-07-01), Chaney et al.
patent: 6091852 (2000-07-01), Entleitner et al.
patent: 2004/0062442 (2004-04-01), Laumeyer et al.
patent: 2004/0136592 (2004-07-01), Chen et al.
patent: 2004/0252870 (2004-12-01), Reeves et al.
patent: 2006/0034500 (2006-02-01), Quist et al.
patent: 2006/0173560 (2006-08-01), Widrow
patent: 2006/0265186 (2006-11-01), Holland et al.
patent: 2009/0097721 (2009-04-01), Kingsbury et al.
patent: 100 05 835 (2001-08-01), None
patent: 101 35 817 (2003-02-01), None
patent: 103 40 544 (2005-03-01), None
M. Pfister, S. Behnke, R. Rojas; “Recognition of Handwritten Zip Codes in a Real-World Non-Standard-Letter Sorting System”; Journal.of Applied Intelligence, 2; 1998; pp. 1-24; Kluwer Academic Publishers; Boston, MA, USA.
Pfister Marcus
Sandkamp Bernhard
Ansari Tahmina
Johns Andrew W
Siemens Aktiengesellschaft
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