Determination of a physically-varying anatomical structure

Patent metadata

Field	Value
Publication number	US-9449383-B2
Application number	US-201114115997-A
Country	US
Kind code	B2
Filing date	May 17, 2011
Priority date	May 17, 2011
Publication date	Sep 20, 2016
Grant date	Sep 20, 2016

Abstract

The present invention relates to a data processing method for providing variation data which describe a physically-varying anatomical structure, in particular an indiscernible anatomical structure, in particular a non-enhancing tumor, comprising the steps of: providing second image data which describe a second image of a region of an anatomical body, wherein the region includes a second anatomical part which includes the physically-varying anatomical structure; providing first image data which represent a first image of the same region, wherein said same region includes a first anatomical part which does not include the physically-varying anatomical structure or which includes the physically-varying anatomical structure in a different physical state than in the second anatomical part; providing position change data which describe positional changes of corresponding image elements between the first image and the second image, on the basis of the first and second image data; and providing the variation data on the basis of the position change data.

First claim

The invention claimed is:

1. A data processing method for providing variation data that describe a non-enhancing tumor, comprising the steps of:
providing second image data which describe a second image of a region of an anatomical body, wherein the region includes a second anatomical part which includes the non-enhancing tumor;
providing first image data which represent a first image of the same region, wherein said same region includes a first anatomical part which does not include the non-enhancing tumor or which includes the non-enhancing tumor in a different physical state than in the second anatomical part;
providing position change data which describe positional changes of corresponding image elements between the first image and the second image, on the basis of the first and second image data;
and
a) wherein the description of the positional changes provided by the position change data comprises change positions which define the positions at which the positional changes occur, and the method further comprises the steps of:
determining the position at which the change in position is at a maximum;
determining the variation data, which comprise a delineation of the non-enhancing tumor, on the basis of the positions at which the change is at a maximum, wherein the variation data further comprise a description of a position and geometry of the delineation of the non-enhancing tumor;

or
b) wherein:
the positional changes are represented by a vector field; and
determining the variation data comprises calculating a determinant of a Jacobian matrix of the vector field and of determining a position and geometry of a surface of the non-enhancing tumor by setting the determinant equal to 1.

2. The data processing method according to claim 1 wherein:
a) the first and second images describe the same region of the same anatomical body, wherein the first image was generated at an earlier point in time than the second image, wherein the non-enhancing tumor did not exist at said earlier point of time or was in a different physical state than at a later point in time at which the second image was generated; or
b) the first and second images describe the same region of a first and second anatomical body, respectively, wherein the first anatomical body is different to the second anatomical body and the first anatomical part of the first anatomical body does not include the non-enhancing tumor or only includes the non-enhancing tumor in a different physical state than in the second anatomical part; or
c) the first image data have been generated on the basis of third image data which describe a third image of another region which includes a third anatomical part, wherein the first and third anatomical parts are from the same anatomical body and the third anatomical part has a symmetry property such that a structure of the third anatomical part would be at least approximately symmetrical to the second anatomical part if the non-enhancing tumor had not grown in the region which includes the second anatomical part, wherein the first image data are generated from the third image data by transforming the third image data into the first image data in consideration of the symmetry property.

3. The data processing method according to claim 1 , wherein the step of providing the position change data involves determining transformation data describing a transformation for one of the first and second images which, if applied to one of the first and second images, results in a transformed image which is at least similar to the other of the first and second images, and providing the position change data on the basis of the determined transformation data.

4. The data processing method according to claim 3 wherein the transformation data are determined using an image morphing algorithm.

5. The data processing method according to claim 1 , further comprising the steps of:
providing correspondence data on the basis of the first and second image data, wherein the correspondence data comprise a description of correspondence pairs that are pairs of corresponding image elements of the first and second images, wherein a first element of the correspondence pair is an image element of the first image, and a second element of the correspondence pair is an image element of the second image, and wherein the first and second elements of the correspondence pair correspond to each other;
providing the position change data on the basis of the correspondence data;
wherein the position change data for at least some of the correspondence pairs describe a positional change in the corresponding image elements as a change from a position of one of the first and second elements of one of the correspondence pairs to a position of the other of the first and second elements of the same correspondence pair.

6. The data processing method according to claim 5 , wherein the step of providing correspondence data comprises:
determining image indication data on the basis of the first and second image data, wherein the image indication data indicate the first and second image;
and receiving the correspondence data.

7. The data processing method accordingly to claim 5 , wherein the step of providing correspondence data comprises:
providing image element data that describe a plurality of image elements;
determining two of the provided plurality of image elements to be corresponding image elements of a correspondence pair if the two image elements are described as corresponding to each other by received correspondence indication data.

8. The data processing method accordingly to claim 5 , wherein the step of providing correspondence data comprises:
providing image element data that describe a plurality of image elements;
determining two of the provided plurality of image elements to be corresponding image elements of a correspondence pair if at least one of the following conditions applies:
image content of a first of the two image elements is at least similar to image content of a second of the two image elements; or
a first neighboring image element neighbors the first image element and forms a correspondence pair with a second neighboring image element which neighbors the second image element, wherein a relative position between the first neighboring image element and the first image element is at least similar to a relative position between the second neighboring image element and the second image element, and this similarity in the relative positions is given for a plurality of first and second neighboring image elements; or
if the two of the provided plurality of image elements are transformed into each other by a transformation which transforms one of the first and second images into the other of the first and second images.

9. The data processing method according to claim 1 , wherein the first and second images are registered with respect to each other on the basis of corresponding image elements which have not changed their position, and the position change data are provided on the basis of the registered images.

10. The data processing method according to claim 1 , wherein the method further comprises the steps of:
determining compression-variation data that describe where a transition between a compression and an expansion occurs, on the basis of the positional changes and the change positions; and
determining the variation data by determining a delineation of the non-enhancing tumor on the basis of the compression-variation data.

11. The data processing method according to claim 1 , wherein the step of providing the variation data comprises the steps of:
determining change indication data on the basis of the positio

Assignees

• Thomson Rowena
• Mittermeyer Stephan
• Lachner Rainer
• Brainlab Ag

Inventors

• Thomson Rowena
• Mittermeyer Stephan
• Lachner Rainer

Classifications

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• G06T2207/30096

  Tumor; Lesion · CPC title

• G06T7/0016 Primary

  involving temporal comparison · CPC title

• G06T2207/30016

  Brain · CPC title

• G06T5/50

  using two or more images, e.g. averaging or subtraction · CPC title