An Enhanced Fuzzy Segmentation Framework for extracting white matter from T1-weighted MR images

2022 ◽  
Vol 71 ◽  
pp. 103093
Author(s):  
S. Vinurajkumar ◽  
S. Anandhavelu
Keyword(s):  
White Matter ◽  
Mr Images ◽  
Segmentation Framework ◽  
Fuzzy Segmentation

Spinal cord grey matter lesions in multiple sclerosis detected by post-mortem high field MR imaging

2008 ◽  
Vol 15 (2) ◽  
pp. 180-188 ◽  
Author(s):  
CP Gilmore ◽  
JJG Geurts ◽  
N Evangelou ◽  
JCJ Bot ◽  
RA van Schijndel ◽  
...  
Keyword(s):  
Spinal Cord ◽  
White Matter ◽  
Mr Imaging ◽  
High Field ◽  
Grey Matter ◽  
Great Majority ◽  
Proton Density ◽  
Post Mortem ◽  
Mr Images ◽  
The Brain

Background Post-mortem studies demonstrate extensive grey matter demyelination in MS, both in the brain and in the spinal cord. However the clinical significance of these plaques is unclear, largely because they are grossly underestimated by MR imaging at conventional field strengths. Indeed post-mortem MR studies suggest the great majority of lesions in the cerebral cortex go undetected, even when performed at high field. Similar studies have not been performed using post-mortem spinal cord material. Aim To assess the sensitivity of high field post-mortem MRI for detecting grey matter lesions in the spinal cord in MS. Methods Autopsy material was obtained from 11 MS cases and 2 controls. Proton Density-weighted images of this formalin-fixed material were acquired at 4.7Tesla before the tissue was sectioned and stained for Myelin Basic Protein. Both the tissue sections and the MR images were scored for grey matter and white matter plaques, with the readers of the MR images being blinded to the histopathology results. Results Our results indicate that post-mortem imaging at 4.7Tesla is highly sensitive for cord lesions, detecting 87% of white matter lesions and 73% of grey matter lesions. The MR changes were highly specific for demyelination, with all lesions scored on MRI corresponding to areas of demyelination. Conclusion Our work suggests that spinal cord grey matter lesions may be detected on MRI more readily than GM lesions in the brain, making the cord a promising site to study the functional consequences of grey matter demyelination in MS.

Morphometric analysis of white matter lesions in MR images: method and validation

1994 ◽  
Vol 13 (4) ◽  
pp. 716-724 ◽  
Author(s):  
A.P. Zijdenbos ◽  
B.M. Dawant ◽  
R.A. Margolin ◽  
A.C. Palmer
Keyword(s):  
White Matter ◽  
Morphometric Analysis ◽  
White Matter Lesions ◽  
Mr Images

scholarly journals Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images

2017 ◽  
Vol 33 ◽  
pp. 178-188 ◽  
Author(s):  
Trushali Doshi ◽  
John Soraghan ◽  
Lykourgos Petropoulakis ◽  
Gaetano Di Caterina ◽  
Derek Grose ◽  
...  
Keyword(s):  
Larynx Cancer ◽  
Mr Images ◽  
Contrast Enhanced ◽  
Segmentation Framework

Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images

2010 ◽  
Author(s):  
Hidetaka Arimura ◽  
Yasuo Kawata ◽  
Yasuo Yamashita ◽  
Taiki Magome ◽  
Masafumi Ohki ◽  
...  
Keyword(s):  
White Matter ◽  
Vascular Dementia ◽  
White Matter Hyperintensities ◽  
Evaluation Method ◽  
Mr Images ◽  
Subcortical Vascular Dementia ◽  
Brain Mr Images

scholarly journals Intraoperative subcortical mapping of a language-associated deep frontal tract connecting the superior frontal gyrus to Broca's area in the dominant hemisphere of patients with glioma

2015 ◽  
Vol 122 (6) ◽  
pp. 1390-1396 ◽  
Author(s):  
Masazumi Fujii ◽  
Satoshi Maesawa ◽  
Kazuya Motomura ◽  
Miyako Futamura ◽  
Yuichiro Hayashi ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
White Matter ◽  
Frontal Lobe ◽  
Navigation System ◽  
Broca’S Area ◽  
Language Function ◽  
Broca's Area ◽  
Mr Images ◽  
Language Functions ◽  
Subcortical Mapping

OBJECT The deep frontal pathway connecting the superior frontal gyrus to Broca's area, recently named the frontal aslant tract (FAT), is assumed to be associated with language functions, especially speech initiation and spontaneity. Injury to the deep frontal lobe is known to cause aphasia that mimics the aphasia caused by damage to the supplementary motor area. Although fiber dissection and tractography have revealed the existence of the tract, little is known about its function. The aim of this study was to determine the function of the FAT via electrical stimulation in patients with glioma who underwent awake surgery. METHODS The authors analyzed the data from subcortical mapping with electrical stimulation in 5 consecutive cases (3 males and 2 females, age range 40–54 years) with gliomas in the left frontal lobe. Diffusion tensor imaging (DTI) and tractography of the FAT were performed in all cases. A navigation system and intraoperative MRI were used in all cases. During the awake phase of the surgery, cortical mapping was performed to find the precentral gyrus and Broca's area, followed by tumor resection. After the cortical layer was removed, subcortical mapping was performed to assess language-associated fibers in the white matter. RESULTS In all 5 cases, positive responses were obtained at the stimulation sites in the subcortical area adjacent to the FAT, which was visualized by the navigation system. Speech arrest was observed in 4 cases, and remarkably slow speech and conversation was observed in 1 case. The location of these sites was also determined on intraoperative MR images and estimated on preoperative MR images with DTI tractography, confirming the spatial relationships among the stimulation sites and white matter tracts. Tumor removal was successfully performed without damage to this tract, and language function did not deteriorate in any of the cases postoperatively. CONCLUSIONS The authors identified the left FAT and confirmed that it was associated with language functions. This tract should be recognized by clinicians to preserve language function during brain tumor surgery, especially for tumors located in the deep frontal lobe on the language-dominant side.

Sign in / Sign up

Export Citation Format

Share Document