A generalised framework for super-resolution track-weighted imaging

TY - JOUR

T1 - A generalised framework for super-resolution track-weighted imaging

AU - Calamante, Fernando

AU - Tournier, Jacques-Donald

AU - Smith, Robert E.

AU - Connelly, Alan

PY - 2012/2/1

Y1 - 2012/2/1

N2 - Track-density imaging (TDI) was recently introduced as a method to achieve super-resolution imaging using whole-brain fibre-tracking data (the so called tractogram). A similar approach to achieve super-resolution was later applied for average pathlength mapping (APM). These two methods have in common that the tractogram information is used to create an image with novel contrast and super-resolution properties. In this study, we present a generalised framework for creating super-resolution track-weighted imaging (TWI), where the intensity of the map can be made dependent on any specific property of the streamlines or their set of spatial coordinates. Furthermore, each contrast can be determined by a number of characteristics that are under user control. It is shown that TDI and APM represent specific cases of this generalised framework, and that this framework opens up the possibility of generating a large range of images with novel image contrasts. Finally, it is shown that the same super-resolution principles as those introduced in the original TDI method are also applicable to any of these new images.

AB - Track-density imaging (TDI) was recently introduced as a method to achieve super-resolution imaging using whole-brain fibre-tracking data (the so called tractogram). A similar approach to achieve super-resolution was later applied for average pathlength mapping (APM). These two methods have in common that the tractogram information is used to create an image with novel contrast and super-resolution properties. In this study, we present a generalised framework for creating super-resolution track-weighted imaging (TWI), where the intensity of the map can be made dependent on any specific property of the streamlines or their set of spatial coordinates. Furthermore, each contrast can be determined by a number of characteristics that are under user control. It is shown that TDI and APM represent specific cases of this generalised framework, and that this framework opens up the possibility of generating a large range of images with novel image contrasts. Finally, it is shown that the same super-resolution principles as those introduced in the original TDI method are also applicable to any of these new images.

KW - Magnetic resonance imaging

KW - Super-resolution

KW - Diffusion MRI

KW - Fibre-tracking

KW - Tractography

KW - HUMAN BRAIN

KW - SPHERICAL DECONVOLUTION

KW - DIFFUSION MRI

KW - ORIENTATION

KW - TISSUES

U2 - 10.1016/j.neuroimage.2011.08.099

DO - 10.1016/j.neuroimage.2011.08.099

M3 - Article

SN - 1053-8119

VL - 59

SP - 2494

EP - 2503

JO - NeuroImage

JF - NeuroImage

IS - 3

ER -