Automatic bone detection in MRI images

Details Automatic bone detection in MRI images Automatic bone detection in MRI images

2011-04-05

2011-04-05

Strege, John B (Department: 2624)

Image analysis

Applications

Biomedical applications

C382S131000, C382S294000

Reexamination Certificate

active

07920730

ABSTRACT:
A method for detecting bone and bone disease using MRI images includes: detecting and segmenting bone borders using dark bone border intensity information from an MRI image; and detecting bone disease within a segmented image region.

REFERENCES:
patent: 5879301 (1999-03-01), Chiabrera et al.
patent: 6021213 (2000-02-01), Helterbrand et al.
patent: 2005/0010106 (2005-01-01), Lang et al.
patent: 2005/0018895 (2005-01-01), Kawano
patent: 2006/0122486 (2006-06-01), Tamez-Pena et al.
patent: 2006/0204067 (2006-09-01), Tuma et al.
patent: 2007/0041639 (2007-02-01), Von Berg et al.
patent: WO 2004/086972 (2004-10-01), None
Gomberg et al., “Method for Cortical Bone Structural Analysis From Magnetic Resonance Images”, Academic Radiology, Reston, VA, US, vol. 12, No. 10, Oct. 2005, pp. 1320-1332.
Cortet et al., “In Vivo Comparison Between Computed Tomography and Magnetic Resonance Image Analysis of the Distal Radius in the Assessment of Osteoporosis”, Journal of Clinical Densitometry, Humana Press, Totowa, NJ, US, vol. 3, No. 1, Apr. 2000, pp. 15-26.
Zoroofi et al., “Automated Segmentation of Necrotic Femoral Head From 3D MR Data”, Computerized Medical Imaging and Graphics: The Official Journal of the Computerized Medical Imaging Society Jul. 2004, vol. 28, No. 5, Jul. 2004, pp. 267-278.

Affiliated with

Also associated with

Rating

Automatic bone detection in MRI 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 Automatic bone detection in MRI images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic bone detection in MRI images will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2699283