Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior

Author(s):  
Wei Liao ◽  
Karl Rohr ◽  
Chang-Ki Kang ◽  
Zang-Hee Cho ◽  
Stefan Worz
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fangrong Zong ◽  
Jiaxin Du ◽  
Xiaofeng Deng ◽  
Xubin Chai ◽  
Yan Zhuo ◽  
...  

2011 ◽  
Vol 35 (3) ◽  
pp. 167-178 ◽  
Author(s):  
Hai Li ◽  
Zhong Xue ◽  
Kemi Cui ◽  
Stephen T.C. Wong

2019 ◽  
Author(s):  
Jason A. Avery ◽  
Alexander G. Liu ◽  
John E. Ingeholm ◽  
Cameron D. Riddell ◽  
Stephen J. Gotts ◽  
...  

SUMMARYIn the mammalian brain, the insula is the primary cortical substrate involved in the perception of taste. Recent imaging studies in rodents have identified a gustotopic organization in the insula, whereby distinct insula regions are selectively responsive to one of the five basic tastes. However, numerous studies in monkeys have reported that gustatory cortical neurons are broadly-tuned to multiple tastes, and tastes are not represented in discrete spatial locations. Neuroimaging studies in humans have thus far been unable to discern between these two models, though this may be due to the relatively low spatial resolution employed in taste studies to date. In the present study, we examined the spatial representation of taste within the human brain using ultra-high resolution functional magnetic resonance imaging (MRI) at high magnetic field strength (7-Tesla). During scanning, participants tasted sweet, salty, sour and tasteless liquids, delivered via a custom-built MRI-compatible tastant-delivery system. Our univariate analyses revealed that all tastes (vs. tasteless) activated primary taste cortex within the bilateral dorsal mid-insula, but no brain region exhibited a consistent preference for any individual taste. However, our multivariate searchlight analyses were able to reliably decode the identity of distinct tastes within those mid-insula regions, as well as brain regions involved in affect and reward, such as the striatum, orbitofrontal cortex, and amygdala. These results suggest that taste quality is not represented topographically, but by a combinatorial spatial code, both within primary taste cortex as well as regions involved in processing the hedonic and aversive properties of taste.


2002 ◽  
Vol 47 (5) ◽  
pp. 903-911 ◽  
Author(s):  
Josef Pfeuffer ◽  
Gregor Adriany ◽  
Amir Shmuel ◽  
Essa Yacoub ◽  
Pierre-Francois Van De Moortele ◽  
...  

2016 ◽  
Vol 75 (6) ◽  
pp. 2464-2472 ◽  
Author(s):  
Xiaoping Wu ◽  
Jinfeng Tian ◽  
Sebastian Schmitter ◽  
J. Tommy Vaughan ◽  
Kâmil Uğurbil ◽  
...  

2013 ◽  
Vol 72 (4) ◽  
pp. 903-912 ◽  
Author(s):  
Li An ◽  
Shizhe Li ◽  
Emily T. Wood ◽  
Daniel S. Reich ◽  
Jun Shen

2007 ◽  
Vol 07 (01) ◽  
pp. 159-176 ◽  
Author(s):  
WENLI CAI ◽  
GORDON J. HARRIS ◽  
HIROYUKI YOSHIDA

With the rapid development of multi-detector computed tomography (MDCT) that results in improving the temporal and spatial resolution of patient data, clinical use of computed tomographic angiography (CTA) is increasing. Vessel segmentation can be challenging in CTA, but is needed for isolation of vascular structures. In this paper, a novel method for computation of vesselness in CTA images is presented, including a CTA transfer function prior to the vesselness computation for reducing the artifacts caused by the false-positive responses of a Hessian-based line filter, as well as a hierarchical structure, called MIP-volume pyramid, for accelerating the computation of vesselness. Using the computed vesselness, we present an interactive segmentation method for each individual vessel by applying a vesselness speed function in a fast marching level set method. Our new method was shown to provide an effective and efficient way that allows vesselness to be applied to large CTA images. This method has been implemented successfully in CTA vessel segmentation and evaluation.


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