eprintid: 3024
rev_number: 7
eprint_status: archive
userid: 69
dir: disk0/00/00/30/24
datestamp: 2016-01-20 10:15:32
lastmod: 2016-04-06 07:35:14
status_changed: 2016-01-20 10:15:32
type: book_section
metadata_visibility: show
creators_name: Boschetto, Davide
creators_name: Castellaro, M.
creators_name: Di Prima, P.
creators_name: Bertoldo, A.
creators_name: Grisan, Enrico
creators_id: davide.boschetto@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Reconstruction of DSC-MRI Data from Sparse Data Exploiting Temporal Redundancy and Contrast Localization
ispublished: pub
subjects: QA75
subjects: T1
divisions: CSA
full_text_status: none
keywords: Compressed sensing, MRI, Dynamic susceptibility, DSC-MRI, Contrast kinetics
abstract: In order to asses brain perfusion, one of the available methods is the estimation of parameters such as cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) from Dynamic Susceptibility Contrast-MRI (DSC-MRI). This estimation requires both high temporal resolution to capture the rapid tracer kinetic, and high spatial resolution to detect small impairments and reliably discriminate boundaries.With this inmind, we propose a compressed sensing approach to decrease the acquisition time without sacrificing the reconstruction, especially in the region affected by tracer passage. To this end we propose the utilization of an available TVL1- L2 minimization scheme with a novel additional term that introduce the information on the volume at baseline (no tracer). We show on simulated data the benefit of such a scheme, that is able to achieve an accurate reconstruction even at high acceleration (x16), with a RMSE of 2.8, 10 times lower than the error obtained with the original reconstruction.
date: 2014
date_type: published
series: IFMBE Proceedings
volume: 41
publisher: Springer International Publishing
pagerange: 225-228
pages: 4
id_number: 10.1007/978-3-319-00846-2_56
refereed: TRUE
isbn: 978-3-319-00845-5
book_title: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
official_url: http://dx.doi.org/10.1007/978-3-319-00846-2_56
citation:   Boschetto, Davide and Castellaro, M. and Di Prima, P. and Bertoldo, A. and Grisan, Enrico  Reconstruction of DSC-MRI Data from Sparse Data Exploiting Temporal Redundancy and Contrast Localization.   In:  XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013.   IFMBE Proceedings, 41 .  Springer International Publishing, pp. 225-228.  ISBN 978-3-319-00845-5      (2014)