ITK/Patent Bazaar

The Insight Toolkit provides a very open licensing mechanism that allows the use of the software for research, education and comercial applications. This very open license enters in conflict with methods that have been patented. In short, patented methods have inherit restrictions that make them non-suitable to be distributed under the ITK license. In plain words:

   Patented algorithms can not be distributed with ITK

A surprisingly large number of image processing algorithms and methods are covered in full or in part a patents. What makes this even more dificult is the fact that in order to figure out if a particular method is patented you have to search on your own. This page is intended as an open space to welcome any notifications regarding methods that have been patented. In this way, users of the toolkit will be able to make informed decisions regarding whether they use or not such methods. The responsibility for seeking permision from patent holders remains in the users.

Where to search for Patents

The following are the official databases where you can search for issued patents.

United States Patent and Trademark Office

       http://www.uspto.gov/

WARNING: Research is not Exempted

NOTE that contrary to widespread believe, patented methods are NOT freely available for research or education. That is, the fact that you use a patented method for research or education DO NOT exempt you from requiring to obtain a license from the patent holder.

The U.S. Supreme court ruled recently on this issue regarding the case Madey v. Duke University,

Quote from Science Journal, Vol 299, Issue 5603, 26-27 , 3 January 2003:

Critics say the October decision,* in Madey v. Duke University, effectively ends a 170-year-old practice of allowing scientists to freely borrow patented technologies for limited use in basic research that isn't aimed at commercial ventures. The universities are asking the high court to review--and ultimately overturn--the decision by a special patent court, because they believe it will hinder research by forcing scientists to obtain permission before using patented technologies.

"The decision transforms the academic science landscape in a horribly perverse way," says David Korn of the Association of American Medical Colleges (AAMC) in Washington, D.C., one of the groups leading the charge. "It means that [government] research funds will be diverted into legal and administrative costs."

Common algorithms that are known to be patented

Correlation Ration Metric for Registration

• United States Patent 6,539,127
• Roche , et al. March 25, 2003

Electronic device for automatic registration of images

Abstract

An electronic data processing device receives first and second data sets representing first and second comparable digital images. It comprises registration means comprising a first module which calculates a main function representative of the correlation ratios between the data of the first and second sets, and a second module which determines a registration transformation between one of the images and the other from the main function.

• Inventors: Roche; Alexis (Antibes, FR); Ayache; Nicholas (Nice, FR); Malandain; Gregoire (Antibes, FR); Pennec; Xavier (Antibes, FR)
• Assignee: Inria Institut National de Recherche (Le Chesnay Cedex, FR)
• Appl. No.: 361313
• Filed: July 27, 1999

Image Guided Tracking of Medical Instruments

• United States Patent 6,782,287
• Grzeszczuk , et al. August 24, 2004

Method and apparatus for tracking a medical instrument based on image registration

Abstract

An apparatus, method and system for tracking a medical instrument, as it is moved in an operating space to a patient target site in the space, by constructing a composite, 3-D rendition of at least a part of the operating space based on an algorithm that registers pre-operative 3-D diagnostic scans of the operating space with real-time, stereo x-ray or radiograph images of the operating space. The invention has particular utility in tracking a flexible medical instrument and/or a medical instrument that moves inside the patient's body and is not visible to the surgeon.

• Inventors: Grzeszczuk; Robert (San Francisco, CA); Shahidi; Ramin (San Francisco, CA)
• Assignee: The Board of Trustees of the Leland Stanford Junior University (Stanford, CA); General Electric Company (Schenectady, NY)
• Appl. No.: 892402
• Filed: June 26, 2001

Vessel Tracking

• United States Patent 6,728,566
• Subramanyan , et al. April 27, 2004

Vessel tracking and tree extraction method and apparatus

Abstract

Computed tomography (CT) data (28) is collected for a plurality of slices by a CT scanner (10). At least a portion of the CT data is reconstructed (32) to form a volume image (34) defined by a plurality of two-dimensional image slices. At least one starting point is identified (72) within a blood vessel imaged in the three-dimensional image volume (34). The blood vessel is recursively tracked (70) to form a blood vessel representation (92).

• Inventors: Subramanyan; Krishna (Solon, OH); Chandra; Shalabh (Twinsburg, OH)
• Assignee: Koninklijke Philips Electronics, N.V. (Eindhoven, NL)
• Appl. No.: 990521
• Filed: November 21, 2001

Computer Aided Diagnosis of Thoracic Images

• United States Patent 6,795,521
• Hsu , et al. September 21, 2004
• Computer-aided diagnosis system for thoracic computer tomography images

Abstract

A method of detecting and analyzing abnormalities, like lung nodules, in thoracic computer tomography (CT) images uses digital image processing techniques and adaptive computing methods. The techniques include an automatic detection process to detect candidate abnormalities, an image matching process to match CT slices from two different CT scans, and a measurement process that determines parameters of the candidate abnormalities. Final results and processed CT images are displayed on a user interface.

• Inventors: Hsu; Li-Yueh (Vienna, VA); Lure; Fleming Y.-M. (Potomac, MD); Li; Ruiping (Rockville, MD); Xu; Xin-Wei (Gaithersburg, MD); Lin; Jyh-Shyan (North Potomac, MD); Martello; Edward A. (Glenwood, MD); Yeh; H.-Y. Michael (Potomac, MD)
• Assignee: Deus Technologies LLC (Rockville, MD)
• Appl. No.: 214464
• Filed: August 8, 2002

Image Segmentation using Flood Fill and Multi-Scale

• United States Patent 6,778,698
• Prakash , et al. August 17, 2004

Method and apparatus for digital image segmentation

Abstract

An image segmenter uses one or more techniques to accurately segment an image, including the use of a progressive flood fill to fill incompletely bounded segments, the use of a plurality of scaled transformations and guiding segmentation at one scale with segmentation results from another scale, detecting edges using a composite image that is a composite of multiple color planes, generating edge chains using multiple classes of edge pixels, generating edge chains using the plurality of scaled transformations, and/or filtering spurious edges at one scale based on edges detected at another scale.

• Inventors: Prakash; Adityo (Redwood Shores, CA); Ratner; Edward R. (Sunnyvale, CA); Chen; John S. (San Jose, CA); Cook; David L. (Playa Del Rey, CA)
• Assignee: PTS Corporation (San Jose, CA)
• Appl. No.: 591438
• Filed: June 9, 2000

Respiratory Compensation in MRI Coronary Imaging

• United States Patent 6,771,997
• Schaffer August 3, 2004

Respiratory compensation in MRI coronary imaging using diminishing variance

Abstract

The effects of complex motion of the heart and surrounding anatomy due to cardiac and respiratory motion is reduced in high resolution imaging of coronary arteries using a diminishing variance algorithm (DVA) using a navigator for tracking heart motion and iteratively reacquiring data frames where a data frame has a positional variance from a cumulative histogram of data. A target position is continually calculated from the cumulative histogram which is smoothed such as by low-pass filtering to continually provide a target position. An image histogram is developed based on a limited number of image frames which are iteratively replaced to attain desired image quality.

• Inventors: Schaffer; Robert W. (Stanford, CA)
• Assignee: The Board of Trustees of the Leland Stanford Junior University (Palo Alto, CA)
• Appl. No.: 952846
• Filed: September 11, 2001

Tomographic Image Reconstruction

• United States Patent 6,788,758
• De Villiers September 7, 2004

Method of reconstructing tomographic images

Abstract

A method of reconstructing a tomographic image of an object from incomplete projection data using a limited angle tomography technique. The method includes using the protection data to obtain a first reconstruction of the image. Thereafter, regions in the first reconstruction that can be predicted with an acceptable degree of certainty in a final reconstruction, are identified. Prior knowledge in the form of possible density levels and piece-wise smoothness that regions in an image can assume, are applied to those regions of acceptable certainty in the first reconstruction so as to obtain a second reconstruction. The projection data is then applied to projections of the second reconstruction using a constraining method to obtain a third reconstruction. In the same way regions of acceptable certainty are identified and the prior knowledge and the projection data are applied to the third reconstruction and subsequent reconstructions until a final reconstruction is achieved.

• Inventors: De Villiers; Mattieu Stefan (Cape Town, ZA)
• Assignee: African Medical Imaging (Proprietary) Limited (Cape Town, ZA)
• Appl. No.: 466496
• Filed: July 16, 2003
• PCT Filed: January 17, 2002
• PCT NO: PCT/IB02/00114
• PCT PUB.NO.: WO02/05800
• PCT PUB. Date: July 25, 2002

Image Registration and Tracking of Targets

• United States Patent 6,788,758
• De Villiers September 7, 2004
• Method of reconstructing tomographic images

Abstract

A method of reconstructing a tomographic image of an object from incomplete projection data using a limited angle tomography technique. The method includes using the protection data to obtain a first reconstruction of the image. Thereafter, regions in the first reconstruction that can be predicted with an acceptable degree of certainty in a final reconstruction, are identified. Prior knowledge in the form of possible density levels and piece-wise smoothness that regions in an image can assume, are applied to those regions of acceptable certainty in the first reconstruction so as to obtain a second reconstruction. The projection data is then applied to projections of the second reconstruction using a constraining method to obtain a third reconstruction. In the same way regions of acceptable certainty are identified and the prior knowledge and the projection data are applied to the third reconstruction and subsequent reconstructions until a final reconstruction is achieved.

• Inventors: De Villiers; Mattieu Stefan (Cape Town, ZA)
• Assignee: African Medical Imaging (Proprietary) Limited (Cape Town, ZA)
• Appl. No.: 466496
• Filed: July 16, 2003
• PCT Filed: January 17, 2002
• PCT NO: PCT/IB02/00114
• PCT PUB.NO.: WO02/05800
• PCT PUB. Date: July 25, 2002

Segmentation based on Fast Marching and Mathematical Morphology

• United States Patent 6,788,758
• De Villiers September 7, 2004

Method of reconstructing tomographic images

Abstract

A method of reconstructing a tomographic image of an object from incomplete projection data using a limited angle tomography technique. The method includes using the protection data to obtain a first reconstruction of the image. Thereafter, regions in the first reconstruction that can be predicted with an acceptable degree of certainty in a final reconstruction, are identified. Prior knowledge in the form of possible density levels and piece-wise smoothness that regions in an image can assume, are applied to those regions of acceptable certainty in the first reconstruction so as to obtain a second reconstruction. The projection data is then applied to projections of the second reconstruction using a constraining method to obtain a third reconstruction. In the same way regions of acceptable certainty are identified and the prior knowledge and the projection data are applied to the third reconstruction and subsequent reconstructions until a final reconstruction is achieved.

• Inventors: De Villiers; Mattieu Stefan (Cape Town, ZA)
• Assignee: African Medical Imaging (Proprietary) Limited (Cape Town, ZA)
• Appl. No.: 466496
• Filed: July 16, 2003
• PCT Filed: January 17, 2002
• PCT NO: PCT/IB02/00114
• PCT PUB.NO.: WO02/05800
• PCT PUB. Date: July 25, 2002

Fluoroscopy to CT Image Registration

• United States Patent 6,714,810
• Grzeszczuk , et al. March 30, 2004

Fluoroscopic registration system and method

Abstract

A method and system for registering volumetric scan data of a patient surgical site with actual patient position are disclosed. In practicing the method, position data relating to (i) the x,y,z coordinates of a detector screen in fixed coordinate system, and the x,y, coordinates of patient features on the screen are used to determine the x,y,z coordinates of the patient features in the fixed coordinate system. These coordinates are then matched with the coordinates of the same patient features taken from pre-op scan data, e.g., CT scan data, to place the CT scan data in the fixed coordinate system.

• Inventors: Grzeszczuk; Robert (San Francisco, CA); Dehlinger; Peter J. (Palo Alto, CA)
• Assignee: Cbyon, Inc. (Palo Alto, CA)
• Appl. No.: 948731
• Filed: September 7, 2001

Pattern Recognition in Images using Neural Networks

• United States Patent 6,735,336
• Avni , et al. May 11, 2004

Apparatus for and method of pattern recognition and image analysis

Abstract

A method of comparing an input pattern with a memory pattern includes the steps of loading a representation of said input pattern into cells in an input layer; loading a representation of said memory pattern into cells in a memory layer; loading an initial value into cells in an intermediate layers between said input layer and said memory layer; comparing values of cells in said intermediate layers with values stored in cells of adjacent layers; updating values stored in cells in said intermediate layers based on said step of comparing; and mapping cells in said memory layer to cells in said input layer.

• Inventors: Avni; Yossi (Herzelia, IL); Suchard; Eytan (Kyriut Byalik, IL)
• Assignee: Applied Neural Computing Ltd. (Herzelia, IL)
• Appl. No.: 144754
• Filed: May 15, 2002

Motion Tracking fom Tagged Cardiac MRI

• United States Patent 6,757,423
• Amini June 29, 2004

Methods of processing tagged MRI data indicative of tissue motion including 4-D LV tissue tracking

Abstract

A method for tracking motion of tissue in three or four dimensions by obtaining a model from imaging data having tag planes from which a grid of control points may be defined. First, knot planes are calculated from the grid of control points of the imaging data. Next, the knot planes are fitted to the tag planes to obtain the model of the tissue. Next, motion of tissue in three or four dimensions is represented with the model of the tissue. Also disclosed is a method for reconstructing tag surfaces with B-spline surfaces from imaging data having sets of image slices with tag data and calculating motion between the B-spline surfaces, comprising the steps of: reconstructing at least a first B-spline surface from B-spline curves corresponding to a first tag surface from a first set of image slices; reconstructing at least a second B-spline surface from B-spline curves corresponding to a second tag surface from a second set of image slices; and calculating motion between B-spline surfaces. Also disclosed is a method for warping a first area in a first image slice of imaging data containing tag lines into a corresponding second area in a second image slice of imaging data successive in time to interpolate a dense displacement vector field using smoothing splines. First, find coordinates of the tag lines in both slices of imaging data. Next, reconstruct a dense displacement vector field with smoothing splines using coordinates of the tag lines. As a result, images indicating strain and images having indicators of tissue motion are provided.

• Inventors: Amini; Amir A. (St. Louis, MO)
• Assignee: Barnes-Jewish Hospital (St. Louis, MO)
• Appl. No.: 507189
• Filed: February 18, 2000

Pleural Detection from CT Images =

• United States Patent 6,766,043
• Zeng , et al. July 20, 2004

Pleural nodule detection from CT thoracic images

Abstract

An algorithm is disclosed that recovers regions of possible pleural nodules left out of an organ field or otherwise undetected due to the nature of low level image processing in the organ field. A morphological closing with an elliptical structuring element is performed on a region to detect nodules within the size of the ellipsoid. A deformable surface-based analysis is performed in distinctive regions for the identification of larger nodules. The integrated use of a deformable surface model and chamfer distance potential enables explicit representation of regularized, or smoothed, surfaces within which nodule candidates may be detected.

• Inventors: Zeng; Xiaolan (Santa Clara, CA); Zhang; Wei (Union City, CA)
• Assignee: R2 Technology, Inc. (Sunnyvale, CA)
• Appl. No.: 993789
• Filed: November 23, 2001

Image Segmentation using Diffusion Propagation

• United States Patent 6,785,409
• Suri August 31, 2004

Segmentation method and apparatus for medical images using diffusion propagation, pixel classification, and mathematical morphology

Abstract

A method of digital imaging includes receiving image data and fitting a curve to boundaries within the image data. The curve is fit to the boundaries within the image data by extracting a region of interest from the image data and computing a signed distance transform in a narrow band within the region of interest. Finite difference equations including various variables are solved to determine a rate at which the distance transform changes. The distance transform is then diffused at that rate. The technique is based on region-based diffusion propagation, pixel classification, and mathematical morphology. The method is implemented to run in the narrow band of the region of interest specified by the user and the computations are implemented using a fast marching method in the narrow band. While idealized for distinguishing segments of white matter, gray matter, and cerebral spinal fluid in the brain, the algorithm can applied to find contours in any digital image.

• Inventors: Suri; Jasjit S. (Mayfield Heights, OH)
• Assignee: Koninklijke Philips Electronics, N.V. (Eindhoven, NL)
• Appl. No.: 695667
• Filed: October 24, 2000