US20180018757A1 - Transforming projection data in tomography by means of machine
learning - Google Patents US20180018757A1 - Transforming projection data in …

(57) ABSTRACT A method and system for converting low-dose tomosynthe sis projection
images or reconstructed slices images with noise into higher quality, less noise, higher-dose …

Amethod and apparatus is provided that uses a deep learning (DL) network to reduce noise
and artifacts in reconstructed medical images, such as images generated using computed …

BACKGROUND Computed tomography (CT) and various, other medical imaging techniques
have been used to detect cancer in patients. CT images, for example, allow medical …

BACKGROUND Imaging devices such as Magnetic Resonance Imaging (MRI)
Scannersprovide myriad Options whichrefineimage acquisition or processing procedures …

(57) ABSTRACT A method of acquiring scatter data and image projection data in computed
tomography is provided that includes attenuat ing a radiation source using a pattern of …

An improved x-ray cone-beam CT image reconstruction by end-to-end training of a multi-
layered neural network is proposed, which employs cone-beam CT images of many patients …

US11847761B2 - Medical image processing apparatus having a plurality of neural
networks corresponding to different fields of view - Google Patents US11847761B2 …

(57) ABSTRACT A method and apparatus is provided to reduce the noise in medical
imaging by training a deep learning (DL) network to select the optimal parameters for a …

2020-04-21 Assigned to KONINKLIJKE PHILIPS NV reassignment KONINKLIJKE PHILIPS
NV ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …