| US 7,616,800 B2 | ||
| Polyp identification through subtraction of models of medical images | ||
| David S. Paik, Half Moon Bay, Calif. (US); Padmavathi Sundaram, Palo Alto, Calif. (US); Christopher F. Beaulieu, Los Altos, Calif. (US); and Sandy A. Napel, Menlo Park, Calif. (US) | ||
| Assigned to The Board of Trustees of the Leland Stanford Junior University, Palo Alto, Calif. (US) | ||
| Appl. No. 11/666,202 PCT Filed Nov. 08, 2005, PCT No. PCT/US2005/040627 § 371(c)(1), (2), (4) Date Apr. 09, 2008, PCT Pub. No. WO2006/053065, PCT Pub. Date May 18, 2006. |
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| Claims priority of provisional application 60/626260, filed on Nov. 08, 2004. | ||
| Prior Publication US 2008/0310693 A1, Dec. 18, 2008 | ||
| Int. Cl. G06T 17/40 (2006.01) | ||
| U.S. Cl. 382—131 [382/154; 345/419] | 6 Claims |
| 1. A method of identifying polyps in a medical image having at least one fold and zero or more polyps, comprising:
(a) constructing a first 3-dimensional model of said medical image, wherein said first 3-dimensional model contains said at
least one fold and said zero or more polyps contained in said medical image;
(b) constructing a second 3-dimensional model of said medical image from said first 3-dimensional model, wherein said second
3-dimensional model contains said at least one fold but wherein said polyps are minimized or eliminated in the case where
said first 3-dimensional model contains one or more of said polyps;
(c) identifying said zero or more polyps by subtracting said second 3-dimensional model from said first 3-dimensional model,
wherein said subtracting minimizes or eliminates said at least one fold.
|