The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 14, 2022

Filed:

Dec. 11, 2017
Applicants:

Universitat Politecnica DE Catalunya, Barcelona, ES;

Max-planck-gesellschaft Zur Förderung Der Wissenschaften E.v., Munich, DE;

Inventors:

Pablo Amil Marletti, Terrassa, ES;

Cristina Masoller, Terrassa, ES;

Elena Arrondo Murillo, Barcelona, ES;

Ulrich Parlitz, Gleichen, DE;

Cecilia Salinas Almela, Barcelona, ES;

Assignee:

Other;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 3/10 (2006.01); G06T 7/35 (2017.01); G16H 50/70 (2018.01); G06K 9/62 (2022.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 3/102 (2013.01); G06K 9/6276 (2013.01); G06T 5/002 (2013.01); G06T 7/0014 (2013.01); G06T 7/35 (2017.01); G16H 50/70 (2018.01); G06T 2207/30041 (2013.01);
Abstract

The method comprises storing a set of images captured of the anterior chamber of various eyes, and using a processor for: a) processing some of said stored images by implementing an homogenization process that adjusts an horizontal and a vertical spatial resolution of each image of the set to be the same, and a centering and aligning process that computes statistical properties of the images, and uses said computed statistical properties to compute a centroid and a covariance matrix of each image; b) performing pair-wise distance measures between images of said processed images providing a pair-wise distance matrix; c) analyzing said pair-wise distance matrix by executing a nonlinear dimensionality reduction algorithm that assigns a point in an n-dimensional space associated to each analyzed image; and d) outputting the results of said analysis in a visual way enabling being usable to detect if said eyes suffer from glaucoma.


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