A Modified Damped Richardson Lucy Algorithm to Reduce Isotropic Background Effects in Spherical Deconvolution (Articolo in rivista)

Type
Label
  • A Modified Damped Richardson Lucy Algorithm to Reduce Isotropic Background Effects in Spherical Deconvolution (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.neuroimage.2009.09.033 (literal)
Alternative label
  • Dell'Acqua, Flavio 1,2,3,4; Scifo, Paola 1,2; Rizzo, Giovanna 2.5; Catani, Marco 4; Simmons, Andrew 3,4; Scotti, Giuseppe 1; Fazio, Ferruccio 2,6 (2010)
    A Modified Damped Richardson Lucy Algorithm to Reduce Isotropic Background Effects in Spherical Deconvolution
    in NeuroImage (Orlando Fla., Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Dell'Acqua, Flavio 1,2,3,4; Scifo, Paola 1,2; Rizzo, Giovanna 2.5; Catani, Marco 4; Simmons, Andrew 3,4; Scotti, Giuseppe 1; Fazio, Ferruccio 2,6 (literal)
Pagina inizio
  • 1446 (literal)
Pagina fine
  • 1458 (literal)
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  • WOS Subject category: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING (literal)
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  • 49 (literal)
Rivista
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  • Pubblicato on-line: 23 Settembre 2009 Corresponding author: F. Dell'Acqua (flavio.dellacqua@kcl.ac.uk) IF 2010: 5.932 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1. CERMAC, San Raffaele Scientific Institute, Milano. 2. Nuclear Medicine Unit, San Raffaele Scientific Institute, Milano. 3. NIHR Specialist Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, King’s College London, London (UK). 4. Institute of Psychiatry, King’s College London, London (UK). 5. Institute of Molecular Bioimaging and Physiology - CNR, Segrate (MI) 6. University of Milano-Bicocca, Milano. (literal)
Titolo
  • A Modified Damped Richardson Lucy Algorithm to Reduce Isotropic Background Effects in Spherical Deconvolution (literal)
Abstract
  • Spherical Deconvolution methods have been applied to diffusion MRI to improve diffusion tensor tractography results in brain regions with multiple fibre crossing. Recent developments, such as the introduction of non-negative constraints on the solution, allow a more accurate estimation of fibre orientations by reducing instability effects due to noise robustness. Standard convolution methods do not, however, adequately model the effects of partial volume from isotropic tissue, such as gray matter, or cerebrospinal fluid, which may degrade spherical deconvolution results. Here we use a newly developed spherical deconvolution algorithm based on an adaptive regularization (damped version of the Richardson-Lucy algorithm) to reduce isotropic partial volume effects. Results, from both simulated and in vivo datasets, show that, compared to a standard non-negative constrained algorithm the damped Richardson Lucy algorithm reduces spurious fibre orientations and preserves angular resolution of the main fibre orientations. These findings suggest that, in some brain regions, non-negative constraints alone may not be sufficient to reduce spurious fibre orientations. Considering both the speed of processing and the scan time required, this new method has the potential for better characterizing white matter anatomy and the integrity of pathological tissue. (literal)
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