Angela J Silva

US Patent:

20030233039, Dec 18, 2003

Filed:

Jun 12, 2002

Appl. No.:

10/167621

Inventors:

Lingxiong Shao - Saratoga CA, US
Jinghan Ye - Fremont CA, US
Angela Da Silva - Danville CA, US
Zuo Zhao - Mountain View CA, US

International Classification:

A61B005/05

US Classification:

600/407000

Abstract:

A method for non-rigid registration and fusion of images with physiological modeled organ motions resulting from respiratory motion and cardiac motion that are mathematically modeled with physiological constraints. A method of combining images comprises the steps of obtaining a first image dataset () of a region of interest of a subject and obtaining a second image dataset () of the region of interest of the subject. Next, a general model of physiological motion for the region of interest is provided (). The general model of physiological motion is adapted with data derived from the first image data set () to provide a subject specific physiological model (). The subject specific physiological model is applied () to the second image dataset () to provide a combined image ().

US Patent:

20080226149, Sep 18, 2008

Filed:

Jul 27, 2006

Appl. No.:

11/997410

Inventors:

Hans-Aloys Wischmann - Henstedt-Ulzburg, DE
Lingxiong Shao - Saratoga CA, US
Angela Da Silva - Danville CA, US
Ingwer-Curt Carlsen - Hamburg, DE
Carsten Meyer - Aachen, DE

International Classification:

G01T 1/164
A61B 5/00

US Classification:

382131, 600407

Abstract:

Medical images are collected in a plurality of cardiac and respiratory phases. The images are transformed into a series of respiratory compensated images with the plurality of cardiac phases, but all at a common respiration phase. The series of respiratory compensated images are transformed into one image at a selected cardiac phase and the common respiration phase. In some embodiments, a database of gated transform matrices is generated. The database may be based on specific patient information or on information generated from a pool of patients. The database may account for respiratory motion, cardiac contractile motion, other physiological motion, or combinations thereof. For a current image to be motion corrected, the transformation matrices collected in the database are used to estimate a current set of transformation matrices accounting for the motion in the current image, and a motion-compensated image is generated based on the current set of transform matrices.

US Patent:

20120002857, Jan 5, 2012

Filed:

Feb 9, 2010

Appl. No.:

13/203507

Inventors:

Xiyun Song - Santa Clara CA, US
Angela Da Silva - Danville CA, US
Jinghan Ye - Fremont CA, US
Alicia Wong - Antioch CA, US
Sudhir K. Mahakali - Cupertino CA, US
Jingkun Hu - Dublin CA, US

International Classification:

G06K 9/00

US Classification:

382131

Abstract:

Hybrid dual-modality image processing systems and methods are disclosed. For example, an image processing system includes a computer for processing SPECT tomographic projection data and a CT volume image. The computer derives a SPECT transverse volume image from the projection data and registers the SPECT transverse volume image with the CT volume image to obtain an attenuation map and registration information. The computer uses the attenuation map and the registration information to derive a SPECT transverse volume image with attenuation correction. The computer uses the registration information to derive a SPECT transverse volume image without attenuation correction. The SPECT transverse volume images, with and without attenuation correction, are derived at or near the same time, using the same registration information. The registration information is stored in, carried by, or otherwise communicated through the attenuation map for subsequent processing of the SPECT transverse volume images.

US Patent:

20130142411, Jun 6, 2013

Filed:

Aug 17, 2011

Appl. No.:

13/817150

Inventors:

Angela Da Silva - Danville CA, US
Horace Hines - San Jose CA, US
Lingxiong Shao - Saratoga CA, US
Hongjie Liang - San Jose CA, US
Anna Exner - Aachen, DE
Andreas Goedicke - Aachen, DE

International Classification:

G06T 11/00

US Classification:

382131

Abstract:

An anatomical image data set and an emission image data set are acquired for a subject. An attenuation map is generated from the anatomical image data set. The emission image data set is reconstructed to generate an emission image. The reconstructing includes correcting for attenuation of emission radiation in the subject using the attenuation map. A value is calculated for a quality assurance (QA) metric quantifying alignment of the attenuation map with the emission image. The emission image is displayed or printed together with the calculated quality assurance metric. In some embodiments, prior to the reconstructing the attenuation map is registered with the emission image data set by performing a global rigid registration followed by a local non-rigid registration of a region of interest.