SYSTEM AND METHOD FOR 3D VOLUME SEGMENTATION USING EXACT MINIMAL SURFACES GIVEN A BOUNDARY

Patent №

US 7,653,243

Granted

2010-01-26

Filed 2006

Owner

SIEMENS CORPORATE RESEARCH, INC.

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11511524

A method for 3D volume segmentation in digitized medical images includes providing a digitized medical image defined on an N-dimensional lattice, obtaining an oriented closed 2-dimensional contour on one or more 2-dimensional slices from said image, defining face weights w from said image intensities by forming a dual lattice of said image lattice, minimizingsummed over all faces subject to the constraint Bz=r wherein vector z is an indicator vector indicating whether a face is present in a minimum-weight surface, vector r is an indicator vector of said 2-D contour, and wherein B is an edge-face incidence matrix, and segmenting said 3-D image into distinct regions separated by the minimum-weight surface indicated by said vector z.

Machine learningVisionG06T 7/162G06T 7/12G06T 2207/10081G06T 2207/10108G06T 2207/30004

AI classification

Vision1.00
Machine learning0.91
AI hardware0.03
Natural language0.00
Knowledge representation0.00
Evolutionary computation0.00
Speech0.00
Planning0.00

Ownership

SIEMENS CORPORATE RESEARCH, INC.

assignment · 184280387

Assignors

GRADY, LEO

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

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