University of Iowa Research Foundation

The United States Government As Represented by the Department of Veterans Affairs

University of Notre Dame Du Lac

Milan Sonka

Michael D Abramoff

Joseph M Reinhardt

Eric A Hoffman

Geoffrey McLennan

Xiayu Xu

Meindert Niemeijer

Xiaodong Wu

Juerg Tschirren

Theophano Mitsa

Renuka Uppaluri

Danny Ziyi Chen

Punam Kumar Saha

Mona K Garvin

Kang Li

Melndert Niemeijer

Guido P Prause

Yin Yin

Xiangmin Zhang

Soumik Ukil

The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.

Automated determination of arteriovenous ratio in images of blood vessels

Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.

Automated assessment of glaucoma loss from optical coherence tomography

Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Methods and devices for labeling and/or matching

A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The present invention includes surface segmentation using a layered graph-theoretic approach that optimally segments multiple interacting surfaces of a single object using a pre-segmentation step, after which the segmentation of all desired surfaces of the object are performed simultaneously in a single optimization process.

System and methods for multi-object multi-surface segmentation

A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as 'on-surface' costs as well as 'in-region' costs.

System and methods for image segmentation in N-dimensional space

The present invention is an apparatus and method for computing regional statistical distributions or characteristics of one or more quantitative measures over a mean anatomic space for one or more predefined populations and uses this statistical distributions/characteristics to study, research or understand the regional response of a disease or a treatment process and to regionally assess clinical status in patient data from an unknown population for diagnostic purposes.

Apparatus and method for computing regional statistical distribution over a mean anatomic space

Methods and devices for airway tree labeling and/or matching

Automated methods for segmenting and smoothing volumes of interest, such as the mediastinal boundary of a lung. Devices and systems configured to perform the automated methods.

Methods of smoothing segmented regions and related devices

A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations.

System and methods for image segmentation in n-dimensional space

Growing community of inventors

Coralville, IA, United States of America

Milan Sonka