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1. US6728424 - Imaging registration system and method using likelihood maximization

Office
United States of America
Application Number 09663803
Application Date 15.09.2000
Publication Number 6728424
Publication Date 27.04.2004
Grant Number 6728424
Grant Date 27.04.2004
Publication Kind B1
IPC
G06K 9/32
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
32Aligning or centering of the image pick-up or image-field
G01R 33/32
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
33Arrangements or instruments for measuring magnetic variables
20involving magnetic resonance
28Details of apparatus provided for in groups G01R33/44-G01R33/6496
32Excitation or detection systems, e.g. using radiofrequency signals
A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/055
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
05Measuring for diagnosis by means of electric currents or magnetic fields
055involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging
A61B 6/03
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
03Computerised tomographs
G01T 1/161
GPHYSICS
01MEASURING; TESTING
TMEASUREMENT OF NUCLEAR OR X-RADIATION
1Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
16Measuring radiation intensity
161Applications in the field of nuclear medicine, e.g. in vivo counting
CPC
G06T 3/0068
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
3Geometric image transformation in the plane of the image
0068for image registration, e.g. elastic snapping
G06T 7/33
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
30Determination of transform parameters for the alignment of images, i.e. image registration
33using feature-based methods
G06T 7/35
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
30Determination of transform parameters for the alignment of images, i.e. image registration
35using statistical methods
Applicants Koninklijke Philips Electronics, N.V.
Inventors Zhu, Yang-Ming
Cochoff, Steven M.
Agents Fay, Sharpe, Fagan, Minnich & McKee, LLP
Priority Data 09663803 15.09.2000 US
Title
(EN) Imaging registration system and method using likelihood maximization
Abstract
(EN)

An image processing system and method employs a registration processor (130) to calculate a statistical measure of likelihood for two volumetric images (110, 112). The likelihood is calculated based on an assumption that the voxel values in two images in registration are probabilitically related. The likelihood is calculated for a plurality of relative transformations in iterative fashion until a transformation that maximizes the likelihood is found. The transformation that maximizes the likelihood provides an optimal registration and the parameters for the optimized transform are output to memory (150) for use by a display system (160) in aligning the images for display as a fused or composite image. If statistics about the relationship between the involved images are known, a mutation probability can be derived and used in the likelihood calculation. If there is no such prior knowledge, the mutation probability can be estimated purely from the image data. All voxel pairs in the overlapping volume or, alternatively, a portion of it can be used to compute the likelihood. The optimized likelihood has a simple and less abstract interpretation and can be further used to provide an indication of the quality of the registration.