Penn Medicine, University of Pennsylvania Health System
Professor, Chief - Medical Imaging Section, Department of Radiology, University of Pennsylvania at Penn Medicine
Education:
Indian Institute of Science (Iisc)
University of Mysore
Skills:
Medical Research Vascular Medical Writing Spine Surgery Algorithms Neurology Biomedical Engineering Image Processing Published Author Signal Processing Medicine Computer Vision Orthopedic Inventor Medical Imaging Mri Machine Learning Pattern Recognition
Interests:
Whistle Singing 9 Anzeigen Vascular Thoracic Neuro Kannada Literature Weniger Anzeigen Visualization Music Fuzzy Set Theories and Applications Image Processig Practice Composing Basic Theories For Image Processing Spinal Other Computer Vision Orthopedic Medical Imaging Etc Yoga Mammographic Craniofacial Vegetarian Cooking Digital Geometry Medical Applications Styles
Us Patents
Segmentation Method Using An Oriented Active Shape Model
Jayaram K. Udupa - Audubon PA, US Jaimin Liu - Rockville MD, US
Assignee:
The Trustees Of The University Of Pennsylvania - Philadelphia PA
International Classification:
G06K 9/00 G06K 9/34 G06K 9/32 G01N 23/00
US Classification:
382128, 382131, 382173, 382294, 378 20
Abstract:
An improved method of segmenting medical images includes aspects of live wire and active shape models to determine the most likely segmentation given a shape distribution that satisfies boundary location constrains on an item of interest. The method includes a supervised learning portion to train and learn new types of shape instances and a segmentation portion to use the learned model to segment new target images containing instances of the shape. The segmentation portion includes an automated search for an appropriate shape and deformation of the shape to establish a best oriented boundary for the object of interest on a medical image.
Image Slice Segmentation Using Midpoints Of Contour Anchor Points
Jayaram K. Udupa - Audubon PA, US Andre Souza - Webster NY, US George Grevera - Collegeville PA, US Dewey Odhner - Horsham PA, US
Assignee:
The Trustees Of The University Of Pennsylvania - Philadelphia PA
International Classification:
G06K 9/00 G06K 9/34
US Classification:
382131, 382130, 382132, 382173, 382181
Abstract:
Methods for the improved interactive segmentation of medical image slice data using a computer include the novel combination of the well-known live wire and snakes methods. The improved techniques automatically insert new anchor points for each medical image slice that is processed. The improved methods called iterative live wire and live snakes result in a segmentation process that is faster, more accurate, and requires less operator interaction than the previous methods while still allowing an operator to make adjustments to the segmentation as the process moves from one image slice to the next.
Extraction Of Fuzzy Object Information In Multidimensional Images For Quantifying Ms Lesions Of The Brain
Jayaram K. Udupa - Audubon PA Supun Samarasekera - Philadelphia PA
International Classification:
G06K 946
US Classification:
382128
Abstract:
A technique for object information extraction from images which retains fuzziness as realistically as possible. The technique is used for image segmentation of fuzzy objects for n-dimensional digital spaces based on the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness. A specified fuzzy object is extracted and all fuzzy objects present in the image data are identified by segmenting the image using the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness as defined herein. The technique is used in a preferred embodiment to quantify MS lesions of the brain via magnetic resonance imaging.
Method Of Predicting Response To Chimeric Antigen Receptor Therapy
This disclosure provides methods and systems for determining a lesion-level treatment response to a chimeric antigen receptor (CAR) therapy, e.g., a CAR CD19 therapy, and uses of said methods and systems for evaluating the responsiveness of a subject to a CAR CD19 therapy, and for treating a subject with a CAR CD19 therapy.