Skip to main content
Vai all'homepage della Commissione europea (si apre in una nuova finestra)
italiano it
CORDIS - Risultati della ricerca dell’UE
CORDIS
Contenuto archiviato il 2024-05-07

ADVANCED SIGNAL PROCESSING for MEDICAL MAGNETIC RESONANCE IMAGING A ND SPECTROSCOPY

Obiettivo



A perennial challenge in Magnetic Resonance Imaging (MRI) is reduction of Image Reconstruction from sparse MR scans is done mainly in the USA. Our concerted research effort and attendant involvement of Signal Processing the scan time. Short scan times are a prerequisite for e.g. abdominal imaging, flow imaging, monitoring oxygen level-dependent contrast (fMRI), Groups aims at equilibrating the situation.
bolus tracking, and interventional (during operation) MRI. In collaboration Our unique time-domain MRS software has attracted worldwide attention, both in academia and industry. Training of young researchers is of a paramount with industry, we contribute to rapid imaging by:
importance to make the results accessible to the clinical environment. 1) Design of sparse sample distributions ( Sparse Scanning, Cartesian and non-Cartesian).
We propose nine young researchers, totalling 223 person-months. .
2) Reconstruction of images from sparse scans ( including gridding,wavelets, Bayesian estimation, SOD, FFT)
In addition, we contribute to fully automatic, user-friendly quantitation and imaging of metabolites (MRS, MRSI) in clinical and medical research environments. We extend/tune our MRS/MRSI software to distinct wishes of Industry and our User Group comprising ninety teams, worldwide. Letters from industry are enclosed.
Our project is multidisciplinary, covering Mathematics, Informatics, Electrical Engineering, Physics, Biochemistry, Medicine, Radiology.

Campo scientifico (EuroSciVoc)

Programma(i)

Argomento(i)

Invito a presentare proposte

Dati non disponibili

Meccanismo di finanziamento

Dati non disponibili

Coordinatore

Technische Universiteit Delft
Contributo UE
Nessun dato
Indirizzo
134,Julianalaan 134
2628 BL Delft
Paesi Bassi
Costo totale
Nessun dato

Partecipanti (8)