Comparative multiple sclerosis lesion segmentation in magnetic resonance images

2017 ◽  
Author(s):  
Selin Isoglu ◽  
Elif Isikci Koca ◽  
Dilek Goksel Duru
Keyword(s):  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Magnetic Resonance Images ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation

scholarly journals Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases

2008 ◽  
Author(s):  
Navid Shiee ◽  
Pierre-Louis Bazin ◽  
Dzung L. Pham
Keyword(s):  
Multiple Sclerosis ◽  
Magnetic Resonance Images ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation ◽  
Brain Images ◽  
Analysis Techniques ◽  
Segmentation Methods ◽  
Fully Automatic ◽  
The Brain ◽  
Statistical Atlas

This paper presents a new fully automatic method for segmentation of brain images that possess multiple sclerosis (MS) lesions. Multichannel magnetic resonance images are used to delineate multiple sclerosis lesions while segmenting the brain into its major structures. The method is an atlas based segmentation technique employing a topological atlas as well as a statistical atlas. An advantage of this approach is that all segmented structures are topologically constrained, thereby allowing subsequent processing with cortical unfolding or diffeomorphic shape analysis techniques. Validation on data from two studies demonstrates that the method has an accuracy comparable with other MS lesion segmentation methods, while simultaneously segmenting the whole brain.

scholarly journals Multiple Sclerosis Of The Spinal Cord: Is Gadolinium Irreplaceable In Assessing Lesion Activity?

2013 ◽  
Vol 59 (3) ◽  
pp. 158-161
Author(s):  
Constantina Andrada Treabă ◽  
M Buruian ◽  
Rodica Bălașa ◽  
Maria Daniela Podeanu ◽  
I P Simu ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Spinal Cord ◽  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Signs And Symptoms ◽  
Magnetic Resonance Images ◽  
Type I ◽  
Focal Lesions ◽  
Spinal Cord Lesions ◽  
Active Lesion

Abstract Purpose: To evaluate the relationship between the T2 patterns of spinal cord multiple sclerosis lesions and their contrast uptake. Material and method: We retrospectively reviewed the appearance of spinal cord lesions in 29 patients (with relapsing-remitting multiple sclerosis) who had signs and symptoms of myelopathy on neurologic examination and at least one active lesion visualized on magnetic resonance examinations performed between 2004 and 2011. We correlated the T2 patterns of lesions with contrast enhancement and calculated sensitivity and specificity in predicting gadolinium enhancement. Results: Only focal patterns consisting of a lesion’s center homogenously brighter than its periphery on T2-weighed images (type I) correlated significantly with the presence of contrast enhancement (p = 0.004). Sensitivity was 0.307 and specificity 0.929. In contrast, enhancement was not significantly related to uniformly hyperintense T2 focal lesions (type II) or diffuse (type III) pattern defined as poorly delineated areas of multiple small, confluent, subtle hyperintense T2 lesions (p > 0.5 for both). Conclusions: We believe that information about the activity of multiple sclerosis spinal cord lesions in patients with myelopathy may be extracted not only from contrast enhanced, but also from non-enhanced magnetic resonance images.

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