IP Library Granted Patent US 8,203,607
Granted Patent B2
US 8,203,607 · App. 11/422,408 · Granted Jun 19, 2012

Incorporating prior information from pre aligned image pairs into EMST-based image registration

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Quick Facts
Patent No.
US 8,203,607
App. No.
11/422,408
Granted
Jun 19, 2012
Kind
B2
Abstract

A computer-implemented method for automatic image registration includes providing a previously aligned image pair, extracting a first number of samples of features from the previously aligned image pair, and extracting a second number of samples of features from an observed image pair. The method further includes determining a Euclidean minimum spanning tree of a union set of the samples of features from the previously aligned image pair and the observed image pair, determining a similarity measure of the observed image pair based on the Euclidean minimum spanning tree, estimating a gradient of the similarity measure, wherein a gradient estimate is used to update transformation parameters applied to register the observed image pair, and outputting a registration of the observed image pair, wherein the registration of the observed image pair is one of displayed and stored on a storage media.

Claims (30)

1. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for automatic image registration, the method steps comprising:

providing a previously aligned image pair;

extracting a first number samples of features from the previously aligned image pair;

extracting a second number of the samples of features from an observed image pair, each of the observed image pair being different from any of the previously aligned image pair;

determining a Euclidean minimum spanning tree of a union set of the samples of features from the previously aligned image pair and the observed image pair;

determining a similarity measure of the observed image pair based on the Euclidean minimum spanning tree;

estimating a gradient of the similarity measure, wherein a gradient estimate is used to update transformation parameters applied to register the observed image pair; and

outputting a registration of the observed image pair.

2. The method of claim 1 , wherein the previously aligned image pair is one of an image pair earlier in a sequence of registration problems and a training image pair.

3. The method of claim 1 , wherein the gradient of the similarity measure is estimated using a sum of gradients of power weighted edge lengths of the Euclidean minimum spanning tree.

4. The method of claim 1 , wherein the second number of samples of features is periodically extracted.

5. The computer-implemented method of claim 1 , wherein the registration of the observed image pair is determined as:

Q α ( I 1 ,I 2 )= J α,w ( p t ,p o )+λ* H α ( p o ),

where

J α,w (p t ,p o )

is an alpha-Jensen distance, and

λ= I o |/(| I t |+|I o )

is a weight that determines a relative influence of the term H α (p o ) and w =1−λ.

6. The method of claim 1 , wherein the first and second number of samples are one of a same and different number of samples.

7. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for automatic image registration, the method steps comprising:

providing a previously aligned image pair;

extracting a first number samples of features from the previously aligned image pair;

extracting a second number of the samples of features from an observed image pair, each of the observed image pair being different from any of the previously aligned image pair;

determining a Euclidean minimum spanning tree of a union set of the samples of features from the previously aligned image pair and the observed image pair;

determining a similarity measure of the observed image pair based on the Euclidean minimum spanning tree;

estimating a gradient of the similarity measure, wherein a gradient estimate updates a transformation parameter applied to register the observed image pair,

wherein the gradient of the similarity measure is estimated using a sum of gradients of power weighted edge lengths of the Euclidean minimum spanning tree of the union set, including the previously aligned image pair and the observed image pair; and

outputting a registration of the observed image pair determined by an updated transformation parameter.

8. The method of claim 1 , wherein the previously aligned image pair is one of an image pair earlier in a sequence of registration problems and a training image pair.

9. The method of claim 1 , wherein the second number of samples of features is periodically extracted.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2007
From: SIEMENS CORPORATE RESEARCH, INC.
To: SIEMENS MEDICAL SOLUTIONS USA, INC.
Reel/Frame 019309/0669 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 4, 2007
From: SABUNCU, MERT RORY; CHEFD'HOTEL, CHRISTOPHE
To: SIEMENS CORPORATE RESEARCH, INC.
Reel/Frame 018705/0774 →