Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction

Autor: Anastasia Fotaki, Niccolo Fuin, Giovanna Nordio, Carlos Velasco Jimeno, Haikun Qi, Yaso Emmanuel, Kuberan Pushparajah, René M. Botnar, Claudia Prieto

Publikováno v: Magnetic Resonance Imaging. 92:120-132

Free-breathing Magnetization Transfer Contrast Bright blOOd phase SensiTive (MTC-BOOST) is a prototype balanced-Steady-State Free Precession sequence for 3D whole-heart imaging, that employs the endogenous magnetisation transfer contrast mechanism. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49673dbf85eadd22f9be78fd98ec31bd
https://doi.org/10.1016/j.mri.2022.06.012

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Autor: René M. Botnar, Thomas Küstner, Reza Hajhosseiny, Kerstin Hammernik, Daniel Rueckert, Haikun Qi, Radhouene Neji, Pier Giorgio Masci, Claudia Prieto, Niccolo Fuin, Aurelien Bustin

Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports

Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbe6c675d84dc0840a012c88fe4531ad
http://link.springer.com/article/10.1038/s41598-020-70551-8

From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction

Autor: Claudia Prieto, Aurelien Bustin, René M. Botnar, Niccolo Fuin

Publikováno v: Frontiers in Cardiovascular Medicine, Vol 7 (2020)
Fuin, N, Bustin, A, Botnar, R M & Prieto Vasquez, C 2020, ' From Compressed-Sensing to Artificial Intelligence-based Cardiac MRI Reconstruction ', Frontiers in Cardiovascular Medicine . https://doi.org/10.3389/fcvm.2020.00017
Frontiers in Cardiovascular Medicine

Cardiac magnetic resonance (CMR) imaging is an important tool for the non-invasive assessment of cardiovascular disease. However, CMR suffers from long acquisition times due to the need of obtaining images with high temporal and spatial resolution, d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f04672749cd119f8535b227785187f80
https://www.frontiersin.org/article/10.3389/fcvm.2020.00017/full

Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced–MRI Using a Compressed Sensing Approach

Autor: Michele Scipioni, Stefano Pedemonte, David Izquierdo-Garcia, Niccolo Fuin, Ciprian Catana, Lisanne P.W. Canjels, Onofrio A. Catalano

Publikováno v: Journal of Nuclear Medicine. 59:1474-1479

We present an approach for concurrent reconstruction of respiratory motion–compensated abdominal dynamic contrast-enhanced (DCE)–MRI and PET data in an integrated PET/MR scanner. The MR and PET reconstructions share the same motion vector fields

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b2c1537b0a140d694935305de182b8
https://doi.org/10.2967/jnumed.117.203943

A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography

Autor: Julia A. Schnabel, James R. Clough, René M. Botnar, Ilkay Oksuz, Niccolo Fuin, Andrew P. King, Thomas Küstner, Claudia Prieto, Aurelien Bustin

Publikováno v: Magnetic resonance imaging. 70

Purpose To enable fast reconstruction of undersampled motion-compensated whole-heart 3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational neural network (MS-VNN) which allows the acquisition of high-quality 1.2 × 1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad7651b0c4cfccf6595c1b8fa4236b6
https://pubmed.ncbi.nlm.nih.gov/32353528