Method and device for forming an isolated visualization of body structures

• US 20050036679A1
• Filed: 12/06/2002
• Published: 02/17/2005
• Est. Priority Date: 12/07/2001
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Wiemker, Rafael, Blaffert, Thomas
• Granted Patent: US 7,349,569 B2
• Time in Patent Office: Days
• US Class Current: 382/173
• CPC Class Codes: G06T 15/40 Hidden part removal

Abstract

The invention relates to a method of forming an isolated visualization of body structures from a 3D image data set, which method includes the steps of forming a binary data set in which all image elements contained in the 3D image data set are classified as image elements which are to be visualized in isolated form and image elements which are not to be visualized, where filtering of the image values is performed by means of limit values of the image values and all image elements of the binary data set of image structures contained in the 3D image data set which are smaller than a predetermined size are selected, of forming a filtered data set by entering the image values of the original 3D image data set for the image elements which are characterized as image elements to be visualized in isolated form in the binary data set, and of forming the visualization of the isolated body structure from the filtered data set. The invention also relates to a device for carrying out the described method and also to programming means which carry out the described steps when executed on a computer.

Claims

1. A method of forming an isolated visualization of body structures from a 3D image data set, which method includes the steps of

forming a binary data set in which all image elements present in the 3D image data set are subdivided into image elements to be visualized in isolated form and image elements which are not to be visualized, where

a1. filtering of the image values is performed by means of limit values, and

a2. all image elements of the binary data set of image structures contained in the b 3D image data set which are smaller than a predetermined size are selected,

forming a filtered data set by entering the image values of the original 3D image data set for the image elements which are characterized as image elements to be visualized in isolated form in the binary data set,

forming the visualization of the isolated body structure from the filtered data set.

2. A method as claimed in claim 1, characterized in that a list of image elements with position data and associated image values of all image elements to be visualized in isolated form is formed from the filtered data set, and that the visualization of the isolated body structure is formed from this list.

3. A method as claimed in claim 1, characterized in that for the formation of the binary data set the image element regions which are to be visualized in isolated form and those which are not to be visualized are separated from one another by way of the region growth method.

4. A method as claimed in claim 1, characterized in that the morphological opening method is applied so as to select the image element regions which are to be visualized in isolated form and those which are not to be visualized.

5. A method as claimed in claim 1, characterized in that the distance transformation method, preferably involving an integer type chamfer distance, is applied so as to select image element regions which are to be visualized in isolated form and those which are not to be visualized.

6. A method as claimed in claim 1, characterized in that processing of two-dimensional data sets in slices takes place in at least one step of the method, the image elements in these steps of the method being pixels.

7. A method as claimed in claim 2, characterized in that for the visualization of the image elements of the list of image elements a visualization method, notably the Maximum Intensity Projection (MIP) or the Closest Vessel Projection (CVP) method, is applied in inverted form in that the path is followed from an image element contained in the list of image elements to a virtual eye of an observer.

8. A method as claimed in claim 1, characterized in that the lungs are visualized in isolated form.

10. A computer program for forming an isolated visualization of body structures from a 3D image data set, which computer program includes program means which carry out the steps of the method disclosed in claim 1 when executed on a computer.

9. A device for forming an isolated visualization of body structures from a 3D image data set, which device includes:

means for forming a binary data set in which all image elements present in the 3D image data set are subdivided into image elements which are to be visualized in isolated form and image elements which are not to be visualized,

filter means for selecting image values by means of limit values of the image values,

means for selecting all image elements of the binary data set of image structures contained in the 3D image data set which are smaller than a predetermined size,

means for forming a filtered data set by entering the image values of the original 3D image data set for the image elements which are characterized as image elements to be visualized in binary form in the binary data set,

display means for forming the visualization of the isolated body structure from the filtered data set.