Physiological model based non-rigid image registration

Details Physiological model based non-rigid image registration Physiological model based non-rigid image registration

2006-10-03

2006-10-03

Robinson, Daniel (Department: 3742)

Surgery

Diagnostic testing

Detecting nuclear, electromagnetic, or ultrasonic radiation

C600S407000

Reexamination Certificate

active

07117026

ABSTRACT:
A method for non-rigid registration and fusion of images with physiological modeled organ motions resulting from respiratory motion and cardiac motion that are mathematically modeled with physiological constraints. A method of combining images comprises the steps of obtaining a first image dataset (24) of a region of interest of a subject and obtaining a second image dataset (34) of the region of interest of the subject. Next, a general model of physiological motion for the region of interest is provided (142). The general model of physiological motion is adapted with data derived from the first image data set (140) to provide a subject specific physiological model (154). The subject specific physiological model is applied (172) to the second image dataset (150) to provide a combined image (122).

REFERENCES:
patent: 4920969 (1990-05-01), Suzuki et al.
patent: 5007427 (1991-04-01), Suzuki et al.
patent: 5111818 (1992-05-01), Suzuki et al.
patent: 5672877 (1997-09-01), Liebig
patent: 6125164 (2000-09-01), Murphy
patent: 6132372 (2000-10-01), Essen-Moller
patent: 6205347 (2001-03-01), Morgan
patent: 6447448 (2002-09-01), Ishikawa et al.
patent: 6640130 (2003-10-01), Freeman et al.
patent: 6650927 (2003-11-01), Keidar
patent: 6659949 (2003-12-01), Lang et al.
patent: 6748259 (2004-06-01), Benaron et al.
O'Donnell, Thomas, et al.; Global Models with Parametric Offsets as Applied to Cardiac Motion Recovery; IEEE, 1986,pp. 293-299.
O'Donnell, Thomas, et al.; Multi-Modality Model-Based Registration in the Cardiac Domain; IEEE, 2000, pp. 790-791.
W. P. Segars, Ph.D. thesis entitled “Development and Application of the New Dynamic NURBS-Based Cardiac Torso (NCAT) Phantom”, Dept. of Biomedical Engineering, University of North Carolina at Chapel Hill, 2001.
W. Paul Segars, David S. Lalush, Benjamin M. W. Tsui “Modeling Respiratory Mechanics in the MCAT and Spline-Based MCAT Phantoms”, Dept. of Biomedical Engrg. and Dept. of Radiology, U. of North Carolina at Chapel Hill; IEEE Transactions on Nuclear Science, vol. 48, No. 1, Feb. 2001, pp. 89-97.
W. Paul Segars, David S. Lalush, Benjamin M. W. Tsui “A Realistic Spline-Based Dynamic Heart Phantom”, IEEE Transactions on Nuclear Science, vol. 46, No. 3, Jun. 1999; pp. 503-506.
M.F. Santarelli , V. Positano, P. Marcheschi, L. Landini, P. Marzullo, A. Benassi “Multimodal Cardiac Image Fusion by Geometrical Features Registration and Warping”, Computers in Cardiology 2001; 28:277-280.

Affiliated with

Also associated with

Rating

Physiological model based non-rigid image registration does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Physiological model based non-rigid image registration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Physiological model based non-rigid image registration will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3696374