Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-11-27
2010-11-16
Strege, John B (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S131000, C382S132000, C382S154000, C382S260000
Reexamination Certificate
active
07835555
ABSTRACT:
A method and system for detecting airways in 3D lung image data is disclosed. The 3D lung image data is filtered using one or more filters based on first and second order derivatives of the CT image data. Each filter calculates a value for each voxel of the 3D lung image data, and the values from all of the filters are combined to determine a voxel score for each voxel. If the voxel score for a voxel is greater than or equal to a threshold value, the voxel is considered an airway candidate.
REFERENCES:
patent: 7116810 (2006-10-01), Miller et al.
patent: 2005/0152591 (2005-07-01), Kiraly et al.
patent: 2005/0207630 (2005-09-01), Chan et al.
patent: 2006/0056691 (2006-03-01), Vaz et al.
patent: 2006/0159328 (2006-07-01), Vaz et al.
patent: 2006/0159360 (2006-07-01), Vaz et al.
Kiraly, A.P. et al., “three-Dimensional Human Airway Segmentation Methods for Clinical virtual Bronchoscoy,” Academic Radiology, (2002) 9:10 pp. 1153-1168.
Bartz, D. et al., “Hybrid Segmentation and Exploration of the Human Lungs,” IEEE Visualization (2003).
Aykac, D. et al., “Segmentation and Analysis of the Human Airway Tree From Three-Dimensional X-Ray CT Images,” IEEE Trans. Medical Imagign (2003) 22:8 pp. 940-950.
Fetita, C.I. et al., “Pulmonary Airways: 3-D Reconstruction From Multislice CT and Clinical Investigation” IEEE Trans. Medical Imaging, 23(11), Nov. 2004.
Kiraly, A.P. et al., “Virtual Bronchoscopy for Quantitative Airway Analysis”, SPIE Conf. on Medical Imaging, vol. 5746, 2006, pp. 369-383.
Li, K. et al., “Efficient Optimal Surface Detection: Theory, Implementation and Experimental Validation”, SPIE conf. on Med. Imaging, vol. 5370, Feb. 2004.
Odry, B. et al. “Automated Airway Evaluation System for Multi-Slice Computed Tomography Using Airway Lumen Diameter, Airway Wall Thickness and Broncho-Arterial Ratio” SPIE2005.
Yoshida, H. et al., Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of Colonic Polyps, IEEE Trans. Medical Imaging 2001; 20:1261-1274.
Li, Q. et al., “Selective Enhancement Filters for Nodules, Vessels, and Airway Walls in Two- and Three-Dimensional CT Scans”, Med. Phys. 30(8), pp. 2040-2051, Aug. 2003.
Brejl, M. et al., “Directional 3D Edge Detection in Anisotropic Data: Detector Design and Performance Assessment”, Comp. Vision and Image Understanding, 77,84-110 (2000).
Kiraly, A.P. et al., “A Fast Method for Colon Polyp Detection in High-Resolution CT Data”, CARS 2004; pp. 983-988.
Coenen Bjoern E
Kiraly Atilla Peter
Novak Carol L.
Odry Benjamin
Siemens Medical Solutions USA , Inc.
Strege John B
LandOfFree
System and method for airway detection does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for airway detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for airway detection will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4162203