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Ulrich Bick

from Coralville, IA
Age ~64
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Related to:
Claudia Bick, 60
Connected to:
Blair M Bick, 56Brian P Bick, 54Candice L Bick, 32Charles W Bick, 43Colin F Bick, 41Heidi A Bick, 68Jim D Bick, 84Jordan M Bick, 41Marian K Bick, 69Matthew A Bick, 42

Ulrich Bick Phones & Addresses

  • Coralville, IA
  • Chicago, IL
  • 5805 S Dorchester Ave APT 8D, Chicago, IL 60637 (773) 704-4714

Work

Company: UNIVERSITY OF CHICAGO MEDICAL CENTER Address: 5841 S Maryland Ave, Chicago, IL 60637 Phones: (773) 702-9200 (773) 702-3538

Education

Degree: Graduate or professional degree

Languages

English

Specialities

Diagnostic Radiology

Professional Records

Medicine Doctors

Ulrich Bick Photo 1

Dr. Ulrich Bick, Chicago IL - MD (Doctor of Medicine)

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Specialties:
Diagnostic Radiology
Address:
5841 S Maryland Ave, Chicago, IL 60637

UNIVERSITY OF CHICAGO MEDICAL CENTER
5841 S Maryland Ave, Chicago, IL 60637
(773) 702-9200 (Phone), (773) 702-3538 (Fax)
Languages:
English

Publications

Isbn (Books And Publications)

Morbi Und Syndrome: Eigennamen Im Klinischen Alltag Syndrome, Morbi, Tests, Zeichen

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Author

Ulrich Bick

ISBN #

3884548379

Us Patents

Method And System For The Assessment Of Tumor Extent In Magnetic Resonance Images

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US Patent:
61121126, Aug 29, 2000
Filed:
Sep 18, 1998
Appl. No.:
9/156413
Inventors:
Kenneth Gilhuijs - Chicago IL
Maryellen L. Giger - Elmhurst IL
Ulrich Bick - Chicago IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
A61B 5055
US Classification:
600425
Abstract:
A method, computer program product, and system for assessing tumor extent in medical temporally acquired images. The method, on which the computer program product and system is based, includes obtaining image data corresponding to temporally acquired images including a tumor and surrounding anatomy and performing variance processing on the obtained image data to derive variance image data defining a variance image indicative of variation of voxels in the temporally acquired medical images. Techniques include novel developments and implementations of breast volume segmentation, breast border removal, lesion enhancement, determination of the bounding sphere, computation of a 3-D search volume, suppression of surrounding structures, and volume growing. Output from the methods yields an estimate of the extent of the tumor (lesion) in the breast.

Automated Method And System For The Segmentation Of Medical Images

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US Patent:
54523672, Sep 19, 1995
Filed:
Nov 29, 1993
Appl. No.:
8/158320
Inventors:
Ulrich Bick - Chicago IL
Maryellen L. Giger - Elmhurst IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
G06F15900
US Classification:
382128
Abstract:
A method for the automated segmentation of medical images, including generating image data from radiographic images of the breast. The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs, and chest radiographs. Techniques for the segmentation include noise filtering, local gray value range determination, modified global histogram analysis, region growing and determination of object contour. The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation, local optimization of external skinline, creation of a gradient image, identification of the internal skinline and then skin thickness determination are carried out. The method for enhancement of medical images includes, after image segmentation and identification of the skinline, calculation of pixel distances from the skinline, determination of the enhancement parameter fit and then selective enhancement of the periphery.

Method And System For The Automated Analysis Of Lesions In Ultrasound Images

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US Patent:
59848707, Nov 16, 1999
Filed:
Jul 25, 1997
Appl. No.:
8/900192
Inventors:
Maryellen L. Giger - Elmhurst IL
Hania Al-Hallaq - Chicago IL
Dulcy Wolverton - Chicago IL
Ulrich Bick - Chicago IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
A61B 800
US Classification:
600443
Abstract:
A method and apparatus for the computerized automatic analysis of lesions in ultrasound images, including the computerized analysis of lesions in the breast, using gradient, gray-level, and texture based measures. Echogenicity features are developed to assess the characteristics of the lesions and in some cases give an estimate of the likelihood of malignancy or of prognosis. The output from the computerized analysis is used in making a diagnosis and/or prognosis. For example, with the analysis of the ultrasound images of the breast, the features can be used to either distinguish between malignant and benign lesions, or distinguish between (i. e. , diagnosis) the types of benign lesions such as benign solid lesions (e. g. , fibroadenoma), simple cysts, complex cysts, and benign cysts. The ultrasound image features can be merged with those from mammographic and/or magnetic resonance images of the same lesion for classification by means of a common artificial neural network.

Method, Computer Program Product, And System For The Automated Analysis Of Lesions In Magnetic Resonance, Mammogram And Ultrasound Images

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US Patent:
63176173, Nov 13, 2001
Filed:
Jul 25, 1997
Appl. No.:
8/900188
Inventors:
Kenneth Gilhuijs - Chicago IL
Maryellen L. Giger - Elmhurst IL
Ulrich Bick - Chicago IL
Assignee:
Arch Development Corporation - Chicago IL
International Classification:
A61B 500
US Classification:
600408
Abstract:
A method and system for the computerized automatic analysis of lesions in magnetic resonance (MR) images, a computer programmed to implement the method, and a data structure for storing required parameters is described. Specifically the system includes the computerized analysis of lesions in the breast using spatial, temporal and/or hybrid measures. Techniques include novel developments and implementations of two-dimensional and three-dimensional features to assess the characteristics of the lesions and in some cases give an estimate of the likelihood of malignancy or of prognosis. The system can also allow for the enhanced visualization of the breast and its pathological states. The system also includes an option to merge the extracted features with those from x-ray and/or ultrasound images in order to further characterize the lesion and/or make a diagnosis and/or a prognosis.
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Ulrich Bick from Coralville, IA, age ~64 Get Report