scholarly journals Evaluation of Head Three-dimensional MRI Using the Volume Rendering Method : Operative Simulation of Brain Tumors

1998 ◽  
Vol 54 (5) ◽  
pp. 653-662 ◽  
Author(s):  
OSAMU FUJITA ◽  
MOTOHIRO ARAI ◽  
KATSUNORI FUKUMURA ◽  
YOSHITO SUGINOBU ◽  
MASAYASU TAKEUCHI ◽  
...  
2005 ◽  
Vol 53 (2) ◽  
pp. 85
Author(s):  
Su Yeon Kim ◽  
Sun Seob Choi ◽  
Myung Jin Kang ◽  
Tae Beom Shin ◽  
Ki Nam Lee ◽  
...  

Author(s):  
K.Sudha Rani ◽  
K.Mani kumari ◽  
T. Nireekshna ◽  
D.V. Shobana ◽  
N. Kavitha ◽  
...  

2003 ◽  
Author(s):  
Jin Li ◽  
Dianguo Xu ◽  
Wang Cong

2011 ◽  
Vol 31 (7) ◽  
pp. 1623-1636 ◽  
Author(s):  
Eugene Kim ◽  
Jiangyang Zhang ◽  
Karen Hong ◽  
Nicole E Benoit ◽  
Arvind P Pathak

Abnormal vascular phenotypes have been implicated in neuropathologies ranging from Alzheimer's disease to brain tumors. The development of transgenic mouse models of such diseases has created a crucial need for characterizing the murine neurovasculature. Although histologic techniques are excellent for imaging the microvasculature at submicron resolutions, they offer only limited coverage. It is also challenging to reconstruct the three-dimensional (3D) vasculature and other structures, such as white matter tracts, after tissue sectioning. Here, we describe a novel method for 3D whole-brain mapping of the murine vasculature using magnetic resonance microscopy (μMRI), and its application to a preclinical brain tumor model. The 3D vascular architecture was characterized by six morphologic parameters: vessel length, vessel radius, microvessel density, length per unit volume, fractional blood volume, and tortuosity. Region-of-interest analysis showed significant differences in the vascular phenotype between the tumor and the contralateral brain, as well as between postinoculation day 12 and day 17 tumors. These results unequivocally show the feasibility of using μMRI to characterize the vascular phenotype of brain tumors. Finally, we show that combining these vascular data with coregistered images acquired with diffusion-weighted MRI provides a new tool for investigating the relationship between angiogenesis and concomitant changes in the brain tumor microenvironment.


2018 ◽  
Vol Volume 10 ◽  
pp. 3109-3123 ◽  
Author(s):  
Evgenii Belykh ◽  
Arpan A Patel ◽  
Eric J Miller ◽  
Baran Bozkurt ◽  
Kaan Yağmurlu ◽  
...  

2004 ◽  
Vol 1 (4) ◽  
Author(s):  
Ömer Etlik ◽  
Osman Temizöz ◽  
Ali Doğan ◽  
Mustafa Kayan ◽  
Halil Arslan ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Mara Gavazzoni ◽  
Francesco Maisano ◽  
Ana Paula Tagliari ◽  
Maurizio Taramasso ◽  
Alberto Pozzoli ◽  
...  

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