Regularization of images

US10304183B2 · kind B2 · utility

Assignees

• The Trustees of Columbia University in the City of New York · US
• The Research Foundation for The State University of New York · US

Inventors

• Arthur Mikhno · Staten Island, US
• Elsa D. Angelini · New York, US
• Andrew F. Laine · New York, US
• Todd Ogden · Teaneck, US
• Ramin Parsey · Mountain Lakes, US
• Joseph John Mann · Yonkers, US

Key dates

• Filing date: Sep 2, 2016
• Grant date: May 28, 2019
• Expiry date: Sep 18, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2211/424
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

The present disclosure is directed to iterative regularized reconstruction methods. In certain embodiments, the methods incorporate locally-weighted total variation denoising to suppress artifacts induced by PSF modeling. In certain embodiments, the methods are useful for suppressing ringing artifacts while contrast recovery is maintained. In certain embodiments, the weighting scheme can be extended to noisy measures introducing a noise-independent weighting scheme. The present disclosure is also directed to a method for quantifying radioligand binding in a subject without collecting arterial blood. In certain embodiments, the methods incorporate using imaging data and electronic health records to predict one or more anchors, which are used to generate an aterial input function (AIF) for the radioligand.