System and method for performing a three-dimensional virtual segmentation and examination with optical texture mapping

• US 20020045153A1
• Filed: 10/10/2001
• Published: 04/18/2002
• Est. Priority Date: 09/16/1996
• Status: Active Grant

• Current Assignee: The Research Foundation for The State University of New York (State University of New York)
• Original Assignee: The Research Foundation for The State University of New York (State University of New York)
• Inventors: Liang, Zhengrong, Wax, Mark R., Kaufman, Arie E., Wan, Ming, Chen, Dongquing
• Granted Patent: US 7,148,887 B2
• Time in Patent Office: Days
• US Class Current: 434/262
• CPC Class Codes: G06T 15/04 Texture mapping
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 19/20 Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/20156 Automatic seed setting
• CPC Class Codes: G06T 2207/30032 Colon polyp
• CPC Class Codes: G06T 2210/28 Force feedback
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 2219/2021 Shape modification
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06V 10/147 Details of sensors, e.g. sensor lenses fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19
• CPC Class Codes: G06V 10/28 Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images

Abstract

A system and method for generating a three-dimensional visualization image of an object such as an organ using volume visualization techniques and exploring the image using a guided navigation system which allows the operator to travel along a flight path and to adjust the view to a particular portion of the image of interest in order, for example, to identify polyps, cysts or other abnormal features in the visualized organ. An electronic biopsy can also be performed on an identified growth or mass in the visualized object. Virtual colonoscopy can be enhanced by electronically removing residual stool, fluid and non-colonic tissue from the image of the colon, by employing bowel preparation followed by image segmentation operations. Methods are also employed for virtually expanding regions of colon collapse using image segmentation results.

Claims

1. A method of mapping optical texture properties from at least one optical image to an acquired monochrome data set comprising:

segmenting the acquired monochrome data set into a plurality of classifications representing a plurality of textures;

segmenting the optical image into a plurality of color classifications representing a second plurality of textures;

generating a texture model for the plurality of color classifications;

matching the texture models to the plurality of classifications of the monochrome image data; and

applying the texture models to the monochrome image data.

2. An imaging system for mapping optical texture properties from at least one optical image to an acquired monochrome data set comprising:

an imaging scanner for acquiring the monochrome data set;

a processor, said processor segmenting the acquired monochrome data set into a plurality of classifications representing a plurality of textures, segmenting the optical image into a plurality of color classifications representing a second plurality of textures, generating a texture model for the plurality of color classifications, matching the texture models to the plurality of classifications of the monochrome image data, and applying the texture models to the monochrome image data; and

a display unit operatively coupled to the processor for displaying a representation of the image data with the texture models applied.

3. The imaging system for mapping optical texture properties according to claim 2, wherein the imaging scanner is a computed tomography scanner.

4. The imaging system for mapping optical texture properties according to claim 2, wherein the imaging scanner is a magnetic resonance imaging scanner.

5. The imaging system for mapping optical texture properties according to claim 2, wherein the image data with the texture models applied is a color representation of the object being imaged.