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SHARD: spherical harmonic-based robust outlier detection for HARDI methods

Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman, Bennett A. Landman (+1 others)
2018 Medical Imaging 2018: Image Processing  
Briefly, spherical harmonics of 6 th order were used to generate basis function which were weighted by diffusion signal for detection of outliers.  ...  Similar approaches would be possible with HARDI methods, but robust versions of each distinct HARDI approach would be necessary.  ...  This project was supported in part by the National Center for Research Resources, Grant UL1 RR024975-01, and is now at the National Center for Advancing Translational Sciences, Grant 2 UL1 TR000445-06.  ... 
doi:10.1117/12.2293727 pmid:29887661 pmcid:PMC5991608 dblp:conf/miip/NathSHPBLAKNRL18 fatcat:dsknw42pgzfvpcv32ckkrsvokm

Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI [article]

Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch, Jana Hutter, Anthony N. Price, Emer J. Hughes, Katy Vecchiato, Maria Deprez, A. David Edwards, Joseph V. Hajnal, J-Donald Tournier
2020 arXiv   pre-print
The reconstruction relies on data-driven representation of multi-shell HARDI data using a bespoke spherical harmonics and radial decomposition (SHARD), which avoids imposing model assumptions, thus facilitating  ...  Here, we develop a reconstruction method for scattered slice multi-shell high angular resolution diffusion imaging (HARDI) data, jointly estimating an uncorrupted data representation and motion parameters  ...  An extension for voxel-based or patch-based outlier detection may alleviate the adverse effect of such localized artefacts.  ... 
arXiv:1905.02996v2 fatcat:xtxreyf7gbaarodlfvv5peehuq

Front Matter: Volume 10574

Proceedings of SPIE, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume using a Base  ...  for image registration performance: effect of tissue deformation [10574-31] SESSION 7 FMRI AND DTI 10574 0X SHARD: spherical harmonic-based robust outlier detection for HARDI methods [10574-32]  ... 
doi:10.1117/12.2315755 fatcat:jdfbaent6vhu5dwlrqrqt66vce

Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Alena Uus, Irina Grigorescu, Maximilian Pietsch, Dafnis Batalle, Daan Christiaens, Emer Hughes, Jana Hutter, Lucilio Cordero Grande, Anthony N. Price, Jacques-Donald Tournier, Mary A. Rutherford, Serena J. Counsell (+3 others)
2021 Frontiers in Neuroscience  
Furthermore, there is a lack of tools for combined analysis of structural and diffusion MRI in the same reference space.  ...  different MRI-derived microstructural indices in the atlas reference space for multiple white matter regions, including the transient compartments.  ...  The formalization of the proposed MC registration method was reprinted by permission from our previous work (Uus et al., 2020) .  ... 
doi:10.3389/fnins.2021.661704 fatcat:vsz7td47nnfkfmsul6n7naiq7y

Effects of prenatal exposure to cancer treatment on neurocognitive development, a review

Dorothée C.-M. Vercruysse, Sabine Deprez, Stefan Sunaert, Kristel Van Calsteren, Frederic Amant
2016 Neurotoxicology  
For di usion-weighted images, motion between slices and volumes, as well as motion-induced signal drop-out were simultaneously corrected, using spherical harmonics and radial decomposition (SHARD) signal  ...  For di usion images mean Euclidean framewise translation and rotation, as well as the outlier ratio (OR) were used, all using the estimates from the SHARD-recon motion correction 109 .  ... 
doi:10.1016/j.neuro.2016.02.013 pmid:26952827 fatcat:x6tn6vgzwrds7cyyqpyj4n6yli

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
However, most of these methods are based on raster representation of the environment for coverage estimation which limits their quality.  ...  In this paper, we propose a probabilistic method for estimation of the coverage of a sensor network based on 3D vector representation of the environment.  ...  References Cressie NAC, 1993, Statistics for spatial data, Wiley, New York. d'Oleire-Oltmanns S, Marzolff I, Tiede D, and Blaschke T, 2014, Detection of gully-affected areas by applying object-based image  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

Poster Abstracts

2009 Integrative and Comparative Biology  
The phylogenetic position of sponges (Porifera) at the base of the metazoan tree makes them valuable subjects for studying the evolution of animal body plans.  ...  Evidence from previous research, based on measured levels of the hormone cortisol, suggests that bridge-roosting Brazilian free-tailed bats (Tadarida brasliensis) experience lower levels of stress and  ...  The divergence times for the major lineages of Brachyura were estimated based on a Bayesian relaxed molecular method. [This work was supported by a RGC CERG grant (4419/04M) of HKSAR.]  ... 
doi:10.1093/icb/icp003 fatcat:ogzq66svibfcjnht5szojhqk3q

Dagstuhl Reports, Volume 4, Issue 11, November 2014, Complete Issue [article]

2015
There are methods to detect whether flows share bottlenecks, with one recent mechanism currently being proposed for standardization in the IETF [6] .  ...  [2] , a microscopic lattice-based method [3] , the spatial Gillespie method, and non-spatial stochastic/deterministic methods.  ...  Here, we discuss the major challenges in defining a standard exchange format for computational In the area of formal methods, model checking deals with the problem of fully-automated property validation  ... 
doi:10.4230/dagrep.4.11 fatcat:zzps76cx7rfldla5z5dikvsqbe