Lumen tracking in computed tomographic images

Image analysis – Applications – Biomedical applications

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C378S004000, C378S021000

Reexamination Certificate

active

07965880

ABSTRACT:
A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.

REFERENCES:
patent: 5647018 (1997-07-01), Benjamin
patent: 5920319 (1999-07-01), Vining et al.
patent: 6331116 (2001-12-01), Kaufman et al.
patent: 6343936 (2002-02-01), Kaufman et al.
patent: 6366800 (2002-04-01), Vining et al.
patent: 7226410 (2007-06-01), Long
patent: 7596256 (2009-09-01), Arie et al.
patent: 2003/0095695 (2003-05-01), Arnold
patent: 2004/0114790 (2004-06-01), Yamamoto et al.
patent: 2004/0136584 (2004-07-01), Acar et al.
patent: 2004/0167400 (2004-08-01), Kaufman
patent: 2005/0152588 (2005-07-01), Yoshida et al.
patent: 2006/0094961 (2006-05-01), Mikheev et al.
patent: 2007/0116346 (2007-05-01), Peterson et al.
patent: 2008/0055308 (2008-03-01), Dekel et al.
patent: 2008/0273781 (2008-11-01), Manduca et al.
patent: WO03034176 (2003-04-01), None
patent: WO2004075117 (2004-09-01), None
patent: WO2005101314 (2005-10-01), None
Cai, et al., Digital Bowel Cleansing for Computer-Aided Detection of Polyps in Fecal-Tagging CT Colonography, Proc. of SPIE 6144:61442-1-614422-9, Mar. 10, 2006.
Chen, et al., A Novel Approach to Extract Colon Lumen from CT Images for Virtual Colonoscopy, IEEE Transactions on Medical Imaging, 19(12):1220-1226, Dec. 2000.
Chen, et al., Electronic Colon Cleansing by Colonic Material Tagging and Image Segmentation for Polyp Detection: Detection Model and Method Evaluation, Nuclear Science Symposium Conference Record, 3:18131-18135, Oct. 25, 2000.
Ciarlet, et al., Level Set Methods and Fast Marching Methods, Cambridge Mnographs on Applied and Computational Mathematics, Cambridge University Press, 2d Edition, ISBN 0521645573, (Front Matter Only), 1999.
Frimmel, et al., Fast and Robust Method to Compute Colon Centerline in CT Colonography, Proceedings of SPIE 5031:381-387, 2003.
Frimmel, et al., Centerline-Based Colon Segmentation for CT Colonography, Med. Phys. 32(8):2665-2672, Aug. 2005.
Lakare, et al., 3D Digital Cleansing Using Segmentation Rays, Proceedings Visualization, pp. 37-44, Oct. 8, 2000.
Nappi, et al., Automated Knowledge-Guided Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography, Journal of Computer Assisted Tomography, 26(4):493-504, 2002.
Nappi, et al., Region-Based Supine-Prone Correspondence for the Reduction of False-Positive CAD Polyp Candidates for CT Colonography, Academic Radiology 12(6):695-707, Jun. 2005.
Neubauer, Dissertation: Virtual Endoscopy for Preoperative Planning and Training of Endonasal Transsphenoidal Pituitary Surgery, TU Wien, May 2005.
Singh, et al., Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach, MICCAI 2004, LNCS 3217, pp. 975-982, 2004.
Wan, et al., Automatic Centerline Extraction for Virtual Colonoscopy, IEEE Transactions on Medical Imaging 21 (12):1450-1460, Dec. 2002.
Wang, et al., An Improved Electronic Colon Cleansing Method for Detection of Polyps by Virtual Colonoscopy, Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, pp. 6512-6515, Sep. 1-4, 2005.
Zalis, et al., CT Colonography: Digital Subtraction Bowel Cleansing with Mucosal Reconstruction—Initial Observations, Radiology, 226(3):911-917, Mar. 2003.
Zalis, et al., Digital Subtraction Bowel Cleansing for CT Colonography Using Morphological and Linear Filtration Methods, IEEE Transactions on Medical Imaging 23(11):1335-1343, 2004.
International Search Report, PCT/US2006/046044, Apr. 5, 2007.
International Search Report, PCT/US2006/045789, Apr. 27, 2007.
International Search Report, PCT/US2006/045803, Apr. 27, 2007.
International Preliminary Report on Patentability, PCT/US2006/045789, Dec. 27, 2007.
International Preliminary Report on Patentability, PCT/US2006/045803, Jun. 3, 2008.
International Preliminary Report on Patentability, PCT/US2006/046044, Nov. 27, 2007.
Chapter II Demand, Article 34 Amendment, Response to Written Opinion, PCT/US2006/045789, Sep. 28, 2007.
Chapter II Demand, Article 34 Amendment, Response to Written Opinion, PCT/US2006/046044, Oct. 2, 2007.
United States Patent and Trademark Office, Office Action Summary and Detailed Action, U.S. Appl. No. 11/606,433, Mar. 10, 2010.
United States Patent and Trademark Office, Interview Summary, U.S. Appl. No. 11/606,433, Jun. 14, 2010.
United States Patent and Trademark Office, Office Action Summary and Detailed Action, U.S. Appl. No. 11/606,433, Jul. 28, 2010.
United States Patent and Trademark Office, Office Action Summary and Detailed Action, U.S. Appl. No. 11/606,433, Nov. 15, 2010.
United States Patent and Trademark Office, Office Action Summary and Detailed Action, U.S. Appl. No. 11/607,623, Jan. 12, 2010.
United States Patent and Trademark Office, Notice of Allowance, U.S. Appl. No. 11/607,623, Jul. 16, 2010.
United States Patent and Trademark Office, Office Action Summary and Detailed Action, U.S. Appl. No. 11/607,195, Mar. 10, 2010.
United States Patent and Trademark Office, Interview Summary, U.S. Appl. No. 11/607,195, Jun. 14, 2010.
United States Patent and Trademark Office, Notice of Allowance, U.S. Appl. No. 11/607,195, Sep. 28, 2010.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Lumen tracking in computed tomographic images does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Lumen tracking in computed tomographic images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Lumen tracking in computed tomographic images will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2632817

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.