Content-aware low-rank plus sparse model for perfusion MRI reconstruction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120246" target="_blank" >RIV/00216305:26220/16:PU120246 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Content-aware low-rank plus sparse model for perfusion MRI reconstruction

Original language description

Perfusion magnetic resonance imaging is a promising diagnostic method in medicine. In order to perform perfusion analysis, leading to e.g. revealing a tumor, one starts with acquiring the anatomical image before injecting the contrast agent. Based on the inferred spatial distribution of organs, we develop a natural, content-aware, way of extension of the low-rank plus sparse model for reconstruction of undersampled perfusion MRI data.

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA16-13830S" target="_blank" >GA16-13830S: Magnetic resonance perfusion imaging using compressed sensing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

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Place of publication

Strobl, Rakousko

Publisher/client name

Neuveden

Version

Neuveden

Carrier ID

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