Nodule detection

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S190000, C382S260000

Reexamination Certificate

active

07460701

ABSTRACT:
A method of detecting a nodule in a three-dimensional scan image comprises calculating a three-dimensional sphericity index for each point in the scan image (310-330), applying a high sphericity threshold to the sphericity index (340) to obtain a candidate nodule region, and then performing region-growing (350) from the candidate region using a relaxed sphericity threshold to determine an extended region including less spherical parts connected to the candidate region. Optionally, spherical filtering may be applied to the image by matching the spherical filter to the extended region.

REFERENCES:
patent: 6125194 (2000-09-01), Yeh et al.
patent: 6404908 (2002-06-01), Schneider et al.
patent: 6882743 (2005-04-01), Bansal et al.
patent: 6909797 (2005-06-01), Romsdahl et al.
patent: 2003/0167001 (2003-09-01), Allain et al.
patent: 2004/0086161 (2004-05-01), Sivaramakrishna et al.
patent: 2005/0207630 (2005-09-01), Chan et al.
patent: 2007/0140541 (2007-06-01), Bae et al.
patent: 1 755 457 (2007-02-01), None
patent: WO 01/54065 (2001-07-01), None
patent: WO 02/085211 (2002-10-01), None
patent: WO 02/103065 (2002-12-01), None
patent: WO 03/024184 (2003-03-01), None
patent: WO 03/070102 (2003-08-01), None
“Computer-Aided Diagnosis: A Neural-Network-Based Approach to Lung Nodule Detection” by Penedo et al. Medical Imaging, IEEE Transactions on vol. 17, Issue 6, Dec. 1998 pp. 872-880.
“Shape Based Region Growing Using Derivatives of 3D Medical Images: Application to Semi-Automated Detection of Pulmonary Nodules” by Dehmeshki et al., Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on vol. 1, Sep. 14-17, 2003 pp. I-1085-8 vol. 1.
Armato et al., “Three-Dimensional Approach to Lung Nodule Detection in Helicat CT” Proceedings of the SPIE, Bellingham, VA, US, vol. 3661, Feb. 22, 1999, pp. 553-559.
Kanazawa et al., “Computer Aided Diagnosis for Pulmonary Nodules Based on Helical CT Images” Computerized Medical Imaging and Graphics, Pergamon Press, New York, NY, vol. 22, No. 2, Mar. 1998, pp. 157-167.
International Search Report, dated Sep. 5, 2005, for PCT Application No. PCT/GB2005/001837, 2 pages.
Examination Report, dated Apr. 16, 2008, for British Application No. 0411284.3, 3 pages.
Search Report, dated Nov. 25, 2004, for British Application No. 0411284.3, 1 page.
Dehmeshki, et al., “Automated detection of lung nodules in CT images using shape-based genetic algorithm,” Computerized Medical Imaging and Graphics 31, pp. 408-417 (2007).
Ye, et al., “Efficient Computer-Aided Detection of Ground-Glass Opacity Nodules in Thoracic CT Images,” IEEE Engineering in Medicine and Biology Conference (2007).

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