Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy

Lucilio Cordero Grande; Giulio Ferrazzi; Rui Pedro Azeredo Gomes Teixeira; Hassan Shahzad; Anthony Price; Joseph Vilmos Hajnal

Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy

Lucilio Cordero Grande, Giulio Ferrazzi, Rui Pedro Azeredo Gomes Teixeira, Hassan Shahzad, Anthony Price, Joseph Vilmos Hajnal

COMSATS INSTITUTE OF INFORMATION TECHNOLOGY

Research output: Contribution to journal › Meeting abstract › peer-review

52 Downloads (Pure)

Abstract

The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.

Original language	English
Number of pages	4
Journal	conference abstracts of ISMRM
Volume	25
Publication status	Published - 24 Apr 2017

Access to Document

IncoherentSamplingMotionV3-NoCropSubmitted manuscript, 1.48 MBLicence: Unspecified

Cite this

@article{8b737193919c4a08aa86713ab0d90071,

title = "Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy",

abstract = "The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.",

author = "{Cordero Grande}, Lucilio and Giulio Ferrazzi and {Azeredo Gomes Teixeira}, {Rui Pedro} and Hassan Shahzad and Anthony Price and Hajnal, {Joseph Vilmos}",

year = "2017",

month = apr,

day = "24",

language = "English",

volume = "25",

journal = "conference abstracts of ISMRM",

}

Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy. / Cordero Grande, Lucilio ; Ferrazzi, Giulio ; Azeredo Gomes Teixeira, Rui Pedro et al.
In: conference abstracts of ISMRM, Vol. 25, 24.04.2017.

Research output: Contribution to journal › Meeting abstract › peer-review

TY - JOUR

T1 - Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy

AU - Cordero Grande, Lucilio

AU - Ferrazzi, Giulio

AU - Azeredo Gomes Teixeira, Rui Pedro

AU - Shahzad, Hassan

AU - Price, Anthony

AU - Hajnal, Joseph Vilmos

PY - 2017/4/24

Y1 - 2017/4/24

N2 - The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.

AB - The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.

M3 - Meeting abstract

VL - 25

JO - conference abstracts of ISMRM

JF - conference abstracts of ISMRM

ER -

Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy

Abstract

Access to Document

Fingerprint

Cite this