DAVID ROBERT HAYNOR, MD
Radiology at Pacific St, Seattle, WA

6775404, Aug 10, 2004

Mar 15, 2000

09/526656

Niko Pagoulatos - Seattle WA
David R. Haynor - Seattle WA
Warren S. Edwards - Burnaby, CA
Yongmin Kim - Seattle WA

University of Washington - Seattle WA

G06K 900

382154, 382151, 382276, 600426, 600429, 600443, 606130, 128916

Intraoperative ultrasound (US) is integrated with stereotactic systems, where a system interactively registers two-dimensional (2D) US and three-dimensional (3D) magnetic resonance (MR) images. The registration is based on tracking a US probe with a bC magnetic position sensor. A transformation algorithm is performed to transform coordinates of points between two different spaces, where MR and US image spaces are independently registered with the position sensor space and where coordinate points can be registered between the MR and US spaces. A calibration procedure can be performed, and a phantom can be used to determine and analyze registration errors. The registered MR images can reconstructed using either zero-order or first-order interpolation.

5605155, Feb 25, 1997

Mar 29, 1996

8/624949

Vikram Chalana - Mountlake Terrace WA
Yongmin Kim - Seattle WA
David R. Haynor - Seattle WA

University of Washington - Seattle WA

A61B 800

12866007

An ultrasound system automatically measures fetal head size from ultrasound images. An ultrasound image of the fetal head is detected. A radial maxima point is identified on each of a plurality of radii extending from a substantially common vertex point within the fetal head image. Each radial maxima point corresponds to an ultrasound sample along its corresponding radius, and has a maximum ultrasound echo strength. A first curve is defined from the radial maxima points. The remaining unfiltered radial maxima points are fit to a second curve, and the second curve is the detected curved boundary. The detected curve boundary is modified to define an initial fetal head boundary. An inner fetal head boundary and outer fetal head boundary are derived from the initial fetal head boundary and a predetermined fetal skull thickness, and fetal head size is computed from the inner fetal head boundary and the outer fetal head boundary.

6870945, Mar 22, 2005

Jun 4, 2001

09/874160

Todd Schoepflin - Seattle WA, US
David R. Haynor - Seattle WA, US
John D. Sahr - Seattle WA, US
Yongmin Kim - Seattle WA, US

University of Washington - Seattle WA

G06K009/00

382103, 382107, 348169

An object is tracked among a plurality of image frames. In an initial frame an operator selects an object. The object is distinguished from the remaining background portion of the image to yield a background and a foreground. A model of the background is used and updated in subsequent frames. A model of the foreground is used and updated in the subsequent frames. Pixels in subsequent frames are classified as belonging to the background or the foreground. In subsequent frames, decisions are made, including: which pixels do not belong to the background; which pixels in the foreground are to be updated; which pixels in the background were observed incorrectly in the current frame; and which background pixels are being observed for the first time. In addition, mask filtering is performed to correct errors, eliminate small islands and maintain spatial and temporal coherency of a foreground mask.

6129668, Oct 10, 2000

May 8, 1998

9/075280

David R. Haynor - Seattle WA
Christopher P. Somogyi - Woodinville WA
Robert N. Golden - Kirkland WA

Lucent Medical Systems, Inc. - Kirkland WA

A61B 505

600424

A device to detect the location of a magnet coupled to an indwelling medical device within a patient uses three or more sets of magnetic sensors each having sensor elements arranged in a known fashion. Each sensor element senses the magnetic field strength generated by the magnet and provides data indicative of the direction of the magnet in a three-dimensional space. The device uses fundamental equations for electricity and magnetism that relate measured magnetic field strength and magnetic field gradient to the location and strength of a magnetic dipole. The device uses an iterative process to determine the actual location and orientation of the magnet. An initial estimate of the location and orientation of the magnet results in the generation of predicted magnetic field values. The predicted magnetic field values are compared with the actual measured values provided by the magnetic sensors. Based on the difference between the predicted values and the measured values, the device estimates a new location of the magnet and calculates new predicted magnetic field strength values.

6216028, Apr 10, 2001

Oct 8, 1998

9/169194

David R. Haynor - Seattle WA
Christopher P. Somogyi - Woodinville WA
Robert N. Golden - Kirkland WA

Lucent Medical Systems, Inc. - Kirkland WA

A61B 505

600424

A device to detect the location of a magnet coupled to an indwelling medical device within a patient uses three or more sets of magnetic sensors each having sensor elements arranged in a known fashion. Each sensor element senses the magnetic field strength generated by the magnet and provides data indicative of the direction of the magnet in a three-dimensional space. The device uses findamental equations for electricity and magnetism that relate measured magnetic field strength and magnetic field gradient to the location and strength of a magnetic dipole. The device uses an iterative process to determine the actual location and orientation of the magnet. An initial estimate of the location and orientation of the magnet results in the generation of predicted magnetic field values. The predicted magnetic field values are compared with the actual measured values provided by the magnetic sensors. Based on the difference between the predicted values and the measured values, the device estimates a new location of the magnet and calculates new predicted magnetic field strength values.

2013012, May 16, 2013

Jun 1, 2012

13/486950

Michael J. Stebbins - Seattle WA, US
Peter R. Cavanagh - Seattle WA, US
Baocheng Chu - Bellevue WA, US
Michael Fassbind - Seattle WA, US
David R. Haynor - Seattle WA, US
William R. Ledoux - Shoreline WA, US

University of Washington through its Center for Commercialization - Seattle WA

A61B 5/055

600415, 600421

A method and apparatus for obtaining force versus deformation data for tissue in vivo includes a displacement system that cycles an anatomical member, for example, a foot, repeatedly through a loading/unloading cycle while using a gated imaging procedure such as magnetic resonance imaging to obtain the deformation response of tissues in the foot. The imaging is conducted during the loading/unloading cycle, such that a rate-dependent deformation response is imaged.

2008003, Feb 7, 2008

Dec 8, 2006

11/608750

Yangqiu Hu - Seattle WA, US
David Haynor - Seattle WA, US
Randal Ching - Bellevue WA, US
Mark Ganter - Edmonds WA, US
William Ledoux - Shoreline WA, US
Duane Storti - Seattle WA, US

G06T 15/00

345419000

A method is disclosed for segmentation of three dimensional image data sets, to obtain digital models of objects identifiable in the image data set. The image data set may be obtained from any convenient source, including medical imaging modalities, geological imaging, industrial imaging, and the like. A graph cuts method is applied to the image data set, and a level set method is then applied to the data using the output from the graph cuts method. The graph cuts process comprises determining location information for the digital data on a 3D graph, and cutting the 3D graph to determine approximate membership information for the object. The boundaries of the object is then refined using the level set method. Finally, a representation of the object volumes can be derived from an output of the level set method. Such representation may be used to generate rapid prototyped physical models of the objects.