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.
Patent No.:
Date of Patent:
Jul. 16, 2019
Filed:
Jul. 09, 2018
Riverside Research Institute, New York, NY (US);
New York University, New York, NY (US);
Jen-wei Kuo, Jersey City, NJ (US);
Jonathan Mamou, New York, NY (US);
Jeffrey A. Ketterling, New York, NY (US);
Orlando Aristizabal, Jackson Heights, NY (US);
Daniel H. Turnbull, Larchmont, NY (US);
Yao Wang, Livingston, NJ (US);
Riverside Research Institute, New York, NY (US);
New York University, New York, NY (US);
Abstract
A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error. A method to characterize mutant detection in mammals, the method including acquiring one or more images, computing a volume profile directly along a path of the detected skeleton from the one or more images, aligning the volume profile against a standard profile, and evaluating the volume profile against the standard profile to detect a mutation.