APPARATUS AND METHOD FOR ROBUST NON-LOCAL MEANS FILTERING OF TOMOGRAPHIC IMAGES

Patent №

US 9,799,126

Granted

2017-10-24

Filed 2015

Owner

KABUSHIKI KAISHA TOSHIBA

+1 more

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14873768

An apparatus for performing a non-local means (NLM) filter is described. The pixel of the NLM-filtered image are weighted averages of pixels from a noisy image, where the weights are a measure of the similarity between patches of the noisy image. The similarity weights can be calculated using a Kullback-Leibler or a Euclidean distance measure. The similarity weights can be based on filtered patches of the noisy image. The similarity weights can be based on a similarity measure between patches of an anatomical image corresponding to the noisy image. The similarity weights can be calculated using a time series of noisy images to increase the statistical sample size of the patches. The similarity weights can be calculated using a weighted sum of channel similarity weights calculated between patches of noisy image that have been band-pass filtered. The NLM-filtered image can also be blended with a non-NLM-filtered image.

VisionG06T 11/008G06T 12/30G06F 18/22G06T 5/20G06T 5/70G06T 5/10G06T 2207/10104G06T 2207/20008+1 more

AI classification

Vision1.00
AI hardware0.38
Machine learning0.22
Speech0.00
Knowledge representation0.00
Natural language0.00
Planning0.00
Evolutionary computation0.00

Ownership

KABUSHIKI KAISHA TOSHIBA

assignment · 367170955

TOSHIBA MEDICAL SYSTEMS CORPORATION

assignment · 367170955

Assignors

QI, WENYUAN, NIU, XIAOFENG, ASMA, EVREN, WANG, WENLI, XIA, TING

On an employer assignment, the assignors are typically the inventors.

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