Patents by Inventor Fabian Wenzel

Fabian Wenzel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8423118
    Abstract: When detecting and classifying hypo-metabolic regions in the brain to facilitate dementia diagnosis, a patient's brain scan image, generated using an FDG-PET scan, is compared to a plurality of hypo-metabolic region patterns in brain scan images associated with a plurality of types of dementia. In a fully automated mode, the patient's scan is compared to all scans stored in a knowledge base, and a type of dementia associated with a most likely match is output to a user along with a highlighted image of the patient' s brain. In a semi-automated mode, a user specifies two or more types of dementia, and the patient's scan is compared to scans typical of the specified types. Diagnosis information including respective likelihoods for each type is then output to the user. Additionally, the user can adjust a threshold significance level to increase or decrease a number of voxels that are included in hypo-metabolic regions highlighted in the patient' brain scan image.
    Type: Grant
    Filed: May 27, 2008
    Date of Patent: April 16, 2013
    Assignee: Koninklijke Philips Electronics N.V.
    Inventors: Fabian Wenzel, Stewart Young, Torjoern Vik, Frank O. Thiele, Ralph Buchert
  • Publication number: 20100179415
    Abstract: When detecting and classifying hypo-metabolic regions in the brain to facilitate dementia diagnosis, a patient's brain scan image, generated using an FDG-PET scan, is compared to a plurality of hypo-metabolic region patterns in brain scan images associated with a plurality of types of dementia. In a fully automated mode, the patient's scan is compared to all scans stored in a knowledge base, and a type of dementia associated with a most likely match is output to a user along with a highlighted image of the patient' s brain. In a semi-automated mode, a user specifies two or more types of dementia, and the patient's scan is compared to scans typical of the specified types. Diagnosis information including respective likelihoods for each type is then output to the user. Additionally, the user can adjust a threshold significance level to increase or decrease a number of voxels that are included in hypo-metabolic regions highlighted in the patient' brain scan image.
    Type: Application
    Filed: May 27, 2008
    Publication date: July 15, 2010
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventors: Fabian Wenzel, Stewart Young, Torjoern Vik, Frank O. Thiele, Ralph Buchert
  • Publication number: 20100152577
    Abstract: A scanner (10) is used to provide images for automated diagnoses of neurodegenerative diseases, such as Alzheimers disease. The images are registered (90) to a template (78). The aligned image is analyzed (60) in relation to reference image data (76, 80) which has been registered to the template which is contained in a knowledge maintenance engine (70) for similar patterns of hypo-intensity that would indicate (in the case of an FDG tracer) reduced glucose uptake in the brain. The most appropriate reference images for the analysis of the present study are chosen by a filter (74). The present study is then given a dementia score (84) as a diagnostic feature vector that indicates to a clinician the type and severity of the ailment based on the analysis. The scanner (10) can produce PET or other metabolic and MR images for diagnosis. The MR can be used to measure blood flow rate into the brain. From the blood flow rate and the metabolic image, tracer, e.g.
    Type: Application
    Filed: February 14, 2008
    Publication date: June 17, 2010
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N. V.
    Inventors: Stewart M. Young, Michael Kuhn, Fabian Wenzel, Ingwer C. Carlsen, Kirsten Meetz, Ralph Bucheri