Scan-specific recurrent neural network for image reconstruction

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United States of America Patent

PATENT NO 11710261
APP PUB NO 20210035337A1
SERIAL NO

16939535

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Abstract

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Methods, systems, devices and apparatuses for generating a high-quality MRI image from under-sampled or corrupted data The image reconstruction system includes a memory. The memory is configured to store multiple samples of biological, physiological, neurological or anatomical data that has missing or corrupted k-space data and a deep learning model or neural network. The image reconstruction system includes a processor coupled to the memory. The processor is configured to obtain the multiple samples. The processor is configured to determine the missing or corrupted k-space data using the multiple samples and the deep learning model or neural network. The processor is configured to reconstruct an MRI image using the determined missing or corrupted k-space data and the multiple samples.

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Patent Owner(s)

  • UNIVERSITY OF SOUTHERN CALIFORNIA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Haldar, Justin Los Angeles, US 3 3
Kim, Tae Hyung Los Angeles, US 266 1883

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