Literature DB >> 21995023

Segmenting thalamic nuclei: what can we gain from HARdI?

Thomas Schultz1.   

Abstract

The contrast provided by diffusion MRI has been exploited repeatedly for in vivo segmentations of thalamic nuclei. This paper systematically investigates the benefits of high-angular resolution (HARDI) data for this purpose. An empirical analysis of clustering stability reveals a clear advantage of acquiring HARDI data at b = 1000 s/mm2. However, based on stability arguments, as well as further visual and statistical evidence and theoretical insights about the impact of parameters, HARDI models such as the q-ball do not exhibit clear benefits over the standard diffusion tensor for thalamus segmentation at this b value.

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Year:  2011        PMID: 21995023     DOI: 10.1007/978-3-642-23629-7_18

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  2 in total

1.  Dynamic thalamus parcellation from resting-state fMRI data.

Authors:  Bing Ji; Zhihao Li; Kaiming Li; Longchuan Li; Jason Langley; Hui Shen; Shengdong Nie; Renjie Zhang; Xiaoping Hu
Journal:  Hum Brain Mapp       Date:  2015-12-26       Impact factor: 5.038

2.  Semi-Automatic Segmentation of Optic Radiations and LGN, and Their Relationship to EEG Alpha Waves.

Authors:  Emmanuelle Renauld; Maxime Descoteaux; Michaël Bernier; Eleftherios Garyfallidis; Kevin Whittingstall
Journal:  PLoS One       Date:  2016-07-06       Impact factor: 3.240

  2 in total

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