UNIFYING RECONSTRUCTION AND MOTION ESTIMATION IN FIRST PASS CARDIAC PERFUSION IMAGING

Patent №

US 8,553,964

Granted

2013-10-08

Filed 2011

Owner

SIEMENS CORPORATION

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13273410

Methods and a system to unify reconstruction and motion estimation steps in first pass cardiac perfusion MRI include a global objective function that meets data consistency, spatial smoothness, motion and contrast dynamics constraints. The global objective decomposed into simpler sub-problems which include low pass filtering of a deformed object, TV shrinkage, analytical Fourier replacement and an l2 minimizing problem. A registration tool based on the local cross-correlation similarity measure and enabled to perform both rigid and flexile deformations, is applied. Registration parameters are tuned by rigid, semi rigid and flexible models at different stages of iterations. A system to perform the methods is also disclosed.

Machine learningVisionG01R 33/56366G01R 33/56509G01R 33/5611

AI classification

Vision1.00
Machine learning0.84
AI hardware0.22
Planning0.01
Evolutionary computation0.01
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

SIEMENS CORPORATION

assignment · 281400912

Assignors

CHEFD'HOTEL, CHRISTOPHE, JACOB, MATHEWS, LINGALA, SAJAN GOUD, NADAR, MARIAPPAN S., ZHANG, LI

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

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