Michael G Jacobs

Address:

5114 Vienna Way, Colorado Springs, CO 80920

Phone:

8059379413

VIN:

5FNRL5H92CB078574

Make:

HONDA

Model:

ODYSSEY

Year:

2012

Address:

863 Pebblewood Dr, Colorado Springs, CO 80919

VIN:

4X4TSVW227L009850

Make:

BMW

Model:

X5-Series AWD 4dr 4.8i

Year:

2007

US Patent:

8380281, Feb 19, 2013

Filed:

May 1, 2010

Appl. No.:

12/772176

Inventors:

Nael F. Osman - Baltimore MD, US
Michael A. Jacobs - Sparks MD, US
Ahmed El Harouni - Baltimore MD, US
Jakir Hossain - Baltimore MD, US

Assignee:

The Johns Hopkins University - Baltimore MD

International Classification:

A61B 5/05

US Classification:

600410, 600407, 600411

Abstract:

Featured are devices for compression of target tissue while magnetic resonance imaging the target tissue and methods and systems related thereto. The method includes disposing target tissue between the fixed surface and the moveable member of a compression device and compressing the target tissue between the fixed surface and the moveable member. The method also includes acquiring one or more, more specifically a plurality, of sequences of image data of the compressed target tissue using an MRI imaging technique (MRI). In particular embodiments, the MRI technique is a SENC MRI technique, where tissue encoding is done prior to compressing the tissue and acquiring includes adding a gradient moment in the slice-selection direction to cause demodulation with a specific frequency. In further embodiments, the sequences of image data are acquired one of during successive periodic compressions of the tissue or successive periodic relaxation of the tissues.

US Patent:

8380286, Feb 19, 2013

Filed:

Nov 10, 2006

Appl. No.:

12/308043

Inventors:

Nael F. Osman - Baltimore MD, US
Michael A. Jacobs - Sparks MD, US
Axel Krieger - San Antonio TX, US
Ahmed Samir Fahmy - Baltimore MD, US

Assignee:

The Johns Hopkins University - Baltimore MD

International Classification:

A61B 5/05

US Classification:

600422, 600407, 600410

Abstract:

Featured are a device for compression of target tissue while magnetic resonance imaging the target tissue and methods and systems related thereto. The method includes disposing target tissue between the fixed surface and the moveable member of a compression device and compressing the target tissue between the fixed surface and the moveable member. The method also includes acquiring one or more, more specifically a plurality, of sequences of image data of the compressed target tissue using an MRI imaging technique (MRI). In embodiments, the MRI technique is a SENC MRI technique, where tissue encoding is done prior to compressing the tissue and acquiring includes adding a gradient moment in the slice-selection direction to cause demodulation with a specific frequency, hi further embodiments, the sequences of image data are acquired during a single compression and prior to recovery of magnetization.

US Patent:

20130322723, Dec 5, 2013

Filed:

Feb 17, 2012

Appl. No.:

14/000003

Inventors:

Michael A. Jacobs - Sparks MD, US

Assignee:

THE JOHNS HOPKINS UNIVERSITY - Baltimore MD

International Classification:

G06T 3/40

US Classification:

382131, 382296

Abstract:

Featured are methods and systems for reslicing-based nonrigid registration of multiparametric and modality images or objects. In such registration methods, global motion is modeled by multiple affine transforms (rigid), while local motion and slices matching is estimated using non-uniform radial reslicing of RTV to search for best match between reference volume slices and resampled target volume (RTV), orthogonally re-sliced to higher spatial resolution compared to the spatial resolution of the reference volume. The reference and target volumes can be in any plane and the method presented in this invention transfers them to target plane which can be any of axial, coronal, or sagittal and there is no need for the original and target scanning planes to be the same.

US Patent:

20130322728, Dec 5, 2013

Filed:

Feb 17, 2012

Appl. No.:

14/000011

Inventors:

Michael A. Jacobs - Sparks MD, US

Assignee:

The Johns Hopkins University - Baltimore MD

International Classification:

G06T 11/00

US Classification:

382132

Abstract:

Featured are methods and systems to multiparametric non-linear dimension reduction (NLDR) methods for segmentation and classification of radiological images. Such methods for segmentation and classification of radiological images, includes pre-processing of acquired image data; and reconstructing the acquired image data using a non-linear dimension reduction technique so as to yield an embedded image representing all of the acquired, where the acquired image data comprises a plurality of different sets of image data of the same region of interest. Such NLDR methods and systems are particularly suitable for the ability to combine multiple input images into a single unit for increased specificity of diagnosis.

US Patent:

20160132754, May 12, 2016

Filed:

May 25, 2013

Appl. No.:

14/403663

Inventors:

- Baltimore MD, US
Michael A. Jacobs - Sparks MD, US

International Classification:

G06K 9/66
G06K 9/00
G06K 9/62
G06T 7/20
G06T 1/00

Abstract:

The ability to identify anomalous behavior in video recordings is important for security and public safety. Current identification techniques, however, suffer from a number of limitations. The present invention describes a novel identification technique that permits unsupervised, automatic identification of moving objects and anomaly detection in real-time recordings (MovA). The present invention specifically utilizes a novel real-time manifold learning system (RML), which generates a semantic crowd behavior descriptor that the inventors call a Trackogram. The Trackogram can be used to identify anomalous crowd behavior collected from video recordings in a real-time manner. MovA can be used to detect anomaly in standard video datasets. Importantly, MovA is also able to identify anomalies in night-vision stereo sequences. Ultimately, MovA could be incorporated into a number of existing products, including video monitoring cameras or night-vision goggles.