BACK-PROJECTION OF A PROJECTION IMAGE DATA SET WITH DEPTH-DEPENDENT FILTERING

Patent №

US 8,630,474

Granted

2014-01-14

Filed 2012

Owner

SIEMENS AKTIENGESELLSCHAFT

+3 more

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13537298

For filtered back-projection of a projection image data set, the projection image data set is cosine-weighted. The cosine-weighted projection image data set within the image plane of the projection image data set is subjected to a two-dimensional Radon transformation. The Radon transform of the cosine-weighted projection image data set differentiated with respect to the distance from an image origin of an image coordinate system. The derivative of the Radon transform is redundancy-weighted. The redundancy-weighted derivative is subjected to a two-dimensional Radon back-transformation. The Radon back-transform is differentiated and back-projected with respect to an image column coordinate. A differentiation step width entering into the differentiation is varied depending on depth.

VisionG01N 23/046G06T 11/006G06T 12/20G01N 2223/345G01N 2223/401G01N 2223/419G01N 2223/612G06T 2211/421

AI classification

Vision1.00
Planning0.09
Knowledge representation0.01
AI hardware0.00
Evolutionary computation0.00
Speech0.00
Natural language0.00
Machine learning0.00

Ownership

SIEMENS AKTIENGESELLSCHAFT

assignment · 317390402

UNIVERSITY OF UTAH

assignment · 317390440

UNIVERSITY OF UTAH RESEARCH FOUNDATION

assignment · 317390558

SIEMENS HEALTHCARE GMBH

assignment · 389580301

Assignors

DENNERLEIN, FRANK

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

From the same owner

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