Abstract: A medical image (24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38?) representing the corresponding voxel (36?) of the medical image (24) to be evaluated.
Type:
Grant
Filed:
November 20, 2015
Date of Patent:
October 8, 2019
Assignees:
KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
Inventors:
Lingzhi Hu, Lingxiong Shao, Raymond Frank Muzic, Kuan-Hao Su, Pengjiang Qian
Abstract: An imaging method and corresponding system (10) account for cascade gammas. Event data describing detected gamma rays emitted from a target volume of a subject are received. The detected gamma rays include cascade gammas emitted from a radionuclide within the target volume. Cascade and annihilation gamma emissions from the target volume and coincidence detection of the imaging system (10) are simulated using a Monte Carlo (MC) simulation technique to generate a cascade dataset comprised of annihilation coincidence events and cascade coincidence events. The event data is reconstructed into an image representation of the target volume with correction of cascade coincidence using the relationship between the annihilation coincidence events and the cascade coincidence events in the cascade data set.
Type:
Grant
Filed:
April 10, 2014
Date of Patent:
March 5, 2019
Assignees:
KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
Inventors:
Jeffrey Allan Kolthammer, Raymond Frank Muzic, Jinghan Ye
Abstract: A medical image (24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38?) representing the corresponding voxel (36?) of the medical image (24) to be evaluated.
Type:
Application
Filed:
November 20, 2015
Publication date:
December 28, 2017
Applicants:
KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
Inventors:
Lingzhi HU, Lingxiong SHAO, Raymond Frank MUZIC, Kuan-Hao SU, Pengjiang QIAN
Abstract: A method for estimating parameter values includes acquiring image data with an imaging apparatus, deriving a parameter model function from the image data, generating a N-dimensional grid, wherein N is a number of values of one or more non-linear terms of the derived model function, pre-calculating the one or more non-linear terms given the parameter model function and the designated values of the non-linear parameters, calculating one or more remaining model terms of the parameter model function, and displaying at least one of the one or more non-linear terms and remaining linear model terms.
Type:
Grant
Filed:
February 8, 2013
Date of Patent:
December 12, 2017
Assignees:
KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
Inventors:
Jeffrey Allan Kolthammer, Raymond Frank Muzic, Jr.