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Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging

Daniel García-Lorenzo, Simon Francis, Sridar Narayanan, Douglas L. Arnold, D. Louis Collins
2013 Medical Image Analysis  
Magnetic resonance (MR) imaging is often used to characterize and quantify multiple sclerosis (MS) lesions in the brain and spinal cord.  ...  In this paper, we describe the complexity of lesion segmentation, classify the automatic MS lesion segmentation methods found, and review the validation methods applied in each of the papers reviewed.  ...  These classically-described white matter (WM) lesions are visible in conventional magnetic resonance imaging (cMRI), appearing hyperintense in T2-weighted (T2w) images and hypointense in T1-weighted (T1w  ... 
doi:10.1016/j.media.2012.09.004 pmid:23084503 fatcat:tx6ftlwkxzdmbhlqgzgslx5oei

A Review- Mri Segmentation Techniques

Mrs. Rashmi P. Belokar, Mr. Pratul D.Belokar, Ms. Priya S. Gadekar
2016 Zenodo  
Few methods discussed here are diffusion weighted and diffusion tensor MRI to white matter diseases, atlas based segmentation, automatic segmentation methods, short axis cardiac images segmentation.  ...  The sole objective of this paper is to carry a systematic review of the available literature and to assess the various automatic segmentation techniques https://journalnx.com/journal-article/20150017  ...  Louis Collins: This is an survey paper talks about automatic segmentation methods of multiple sclerosis & white matter lesions by using an conventional resonance imaging.  ... 
doi:10.5281/zenodo.1471281 fatcat:ehss243p2jg33hpnfpdcebugza

Consensus Recommendations of the Multiple Sclerosis Study Group and the Portuguese Neuroradiological Society for the Use of Magnetic Resonance Imaging in Multiple Sclerosis in Clinical Practice: Part 2

Daniela Jardim Pereira, Pedro Abreu, Ana Mafalda Reis, Daniela Seixas, Inês Carreiro, Isabel Cravo, Joana Graça, Pedro Melo Freitas, Olga Brito, Solange Silva, José Vale, Pedro Vilela
2020 Acta Médica Portuguesa  
the national reality on the use of magnetic resonance imaging in multiple sclerosis.  ...  This document represents the second part of the first Portuguese consensus recommendations on the use of magnetic resonance imaging in multiple sclerosis in clinical practice.Material and Methods: The  ...  INTRODUCTION Since the first formal inclusion of magnetic resonance imaging (MRI) in multiple sclerosis (MS) diagnostic criteria in 2001, 1 we have witnessed significant imaging advances and widespread  ... 
doi:10.20344/amp.11532 pmid:31928606 fatcat:jdyv5kxh2bfvzef7yact7gxvxq

MULTIPLE SCLEROSIS LESIONS LINGUISTIC SEGMENTATION USING DEEP LEARNING

D.B.SHANMUGAM, M.Divya
2021 Zenodo  
On the other hand, the key findings of this research study are that the usage of patch wise segmentation of DL technique can assist the detection of multiple sclerosis.  ...  This research study is based on the detection and diagnosis of multiple sclerosis through the usage of deep learning.  ...  Researchers tend to categorize MS subtypes as cortex-led, perpendicularly "white matter-led, and lesion-led", based on the first aberrations.  ... 
doi:10.5281/zenodo.7099314 fatcat:ntiiw7yimjg7bccitfdlpwltfq

The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine

Jagannadha Avasarala, Todd Pietila
2017 F1000Research  
Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient's brain stricken with multiple sclerosis (MS) in 3D using 2D images has  ...  PubMed Abstract | Publisher Full Text Longstreth WT Jr, Manolio TA, Arnold A, et al.: Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people.  ...  Introduction Multiple sclerosis (MS) is a chronic, white and gray matter disease of the central nervous system.  ... 
doi:10.12688/f1000research.12336.1 fatcat:zhzhcptn6vcprp7zg4qyvyo3yq

Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease

François De Guio, Eric Jouvent, Geert Jan Biessels, Sandra E Black, Carol Brayne, Christopher Chen, Charlotte Cordonnier, Frank-Eric De Leeuw, Martin Dichgans, Fergus Doubal, Marco Duering, Carole Dufouil (+29 others)
2016 Journal of Cerebral Blood Flow and Metabolism  
This review focuses on the main SVD-related markers on MRI including: white matter hyperintensities, lacunes, dilated perivascular spaces, microbleeds and brain volume.  ...  Several magnetic resonance imaging (MRI) markers have therefore emerged, providing new information on the diagnosis, progression and mechanisms of SVD.  ...  The authors declare no conflict of interest. Supplementary material for this paper can be found at http://jcbfm.sagepub.com/content/by/supplemental-data  ... 
doi:10.1177/0271678x16647396 pmid:27170700 pmcid:PMC4976752 fatcat:62yvvbsgorgnbnlgv6v3w3j3bu

Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review

Emilia Gryska, Justin Schneiderman, Isabella Björkman-Burtscher, Rolf A Heckemann
2021 BMJ Open  
In this study, we map the field of automatic MR brain lesion segmentation to understand the clinical applicability of prevalent methods and study designs, as well as challenges and limitations in the field.DesignScoping  ...  We present a general overview and trends in the field with regard to publication sources, segmentation principles used and types of lesions.  ...  A novel automatic method for extraction of glioma tumor, white matter and grey matter from brain magnetic resonant images. Biomed Imag Intervent J 2013;9. 60 Thiruvenkadam K, Perumal N.  ... 
doi:10.1136/bmjopen-2020-042660 pmid:33514580 pmcid:PMC7849889 fatcat:im46nmvzovemzk54m2i4grkuoa

T1 Relaxation Times in the Cortex and Thalamus Are Associated With Working Memory and Information Processing Speed in Patients With Multiple Sclerosis

Christian Thaler, Isabelle Hartramph, Jan-Patrick Stellmann, Christoph Heesen, Maxim Bester, Jens Fiehler, Susanne Gellißen
2021 Frontiers in Neurology  
, and white matter volumes, as well as increased T1-RT in the normal-appearing white matter, compared to healthy controls (p < 0.001).  ...  Cortical and thalamic pathologies have been associated with cognitive impairment in patients with multiple sclerosis (MS).Objective: We aimed to quantify cortical and thalamic damage in patients with MS  ...  Image Analysis Lesion Segmentation T2 lesions (T2L) were semi-automatically segmented on FLAIR images using the lesion growth algorithm implemented in the toolbox “LST: Lesion Segmentation Tool” (20).  ... 
doi:10.3389/fneur.2021.789812 pmid:34925222 pmcid:PMC8678069 fatcat:xgeaw772tncvtfk22vjedn2jvy

Fractional Segmentation of White Matter [chapter]

Simon K. Warfield, Carl-Fredrik Westin, Charles R. G. Guttmann, Marilyn Albert, Ferenc A. Jolesz, Ron Kikinis
1999 Lecture Notes in Computer Science  
Conventional spin echo (CSE) magnetic resonance imaging (MRI) is sensitive to these white matter changes and has frequently been applied to their study.  ...  We applied this automated image segmentation method to over 996 MRI scans of subjects affected by multiple sclerosis, 72 normal aging subjects and 29 scans of subjects with Alzheimer's disease.  ...  Acknowledgements This investigation was supported (in part) by a grant from the National Multiple Sclerosis Society (SW) and by NIH grants P41 RR13218-01, R01 RR11747-01A, P01 CA67165-03 and P01 AG04953  ... 
doi:10.1007/10704282_7 fatcat:xqvv2wnoinhkjgfoilylrtkknm

Magnetisation transfer imaging in multiple sclerosis

M Filippi, M Rovaris
2000 Journal of Neurovirology  
Magnetisation transfer imaging (MTI) is a magnetic resonance imaging (MRI) technique that has a higher specificity than conventional T2-weighted scans to the heterogeneous pathological substrates of multiple  ...  severe white matter disruption.  ...  A magnetization transfer imaging study of normal-appearing white matter in multiple sclerosis. Neurology 45: 478 ± 482.  ... 
pmid:10871798 fatcat:qasi7ioakna35i3m4f3uoxo5ky

Relationship between timed 25-foot walk and diffusion tensor imaging in multiple sclerosis

Sylvia Klineova, Rebecca Farber, Catarina Saiote, Colleen Farrell, Bradley N Delman, Lawrence N Tanenbaum, Joshua Friedman, Matilde Inglese, Fred D Lublin, Stephen Krieger
2016 Multiple Sclerosis Journal - Experimental, Translational and Clinical  
Design/Methods: A cohort of gait impaired multiple sclerosis patients underwent brain and cervical spinal cord magnetic resonance imaging.  ...  Objective/Background: The majority of multiple sclerosis patients experience impaired walking ability, which impacts quality of life.  ...  Funding The imaging portion of this project was supported by grant UL1TR000067 from the National Center for Research Resources, National Institutes of Health.  ... 
doi:10.1177/2055217316655365 pmid:28607731 pmcid:PMC5433408 fatcat:p27ee4icdbf67aqzq5khdb56au

Conventional and advanced MRI in multiple sclerosis

C. Louapre
2018 Revue neurologique (Paris)  
; MRI, magnetic resonance imaging; MS, multiple sclerosis; MTR, magnetization transfer ratio; NAWM, normal-appearing white matter; RIS, radiologically isolated syndrome; RRMS, relapsing-remitting multiple  ...  sclerosis; SPMS, secondary-progressive multiple sclerosis; tNAA, total N-acetylaspartate; tCr, total creatine; WM, white matter. conventional MRI cannot explain the wide heterogeneity of clinical outcomes  ... 
doi:10.1016/j.neurol.2018.03.009 pmid:29784248 fatcat:geitkj75nzcbha6gx4r6ib27wq

Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)

Eleftherios Kontopodis, Efrosini Papadaki, Eleftherios Trivzakis, Thomas Maris, Panagiotis Simos, Georgios Papadakis, Aristidis Tsatsakis, Demetrios Spandidos, Apostolos Karantanas, Kostas Marias
2021 Experimental and Therapeutic Medicine  
Recent advances in deep learning (DL) techniques have led to novel computational paradigms in MS and CIS imaging designed for automatic segmentation and detection of areas of interest and automatic classification  ...  Multiple sclerosis (MS) and clinically isolated syndrome (CIS) are chronic inflammatory, demyelinating diseases affecting the central nervous system.  ...  white matter lesions.  ... 
doi:10.3892/etm.2021.10583 pmid:34504594 pmcid:PMC8393268 fatcat:yolthcmsgfhdbbwwpcn5nte2ly

Advances in spinal cord imaging in multiple sclerosis

Marcello Moccia, Serena Ruggieri, Antonio Ianniello, Ahmed Toosy, Carlo Pozzilli, Olga Ciccarelli
2019 Therapeutic Advances in Neurological Disorders  
Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies.  ...  A number of pathological abnormalities, including demyelination and neuroaxonal loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI).  ...  ; Glx, glutamate and glutamine; MD, mean diffusivity; MRI, magnetic resonance imaging; MRS, magnetic resonance spectroscopy; MS, multiple sclerosis; MT, magnetization transfer; MTR, magnetization transfer  ... 
doi:10.1177/1756286419840593 pmid:31040881 pmcid:PMC6477770 fatcat:y7t62qvf3fd47c5q76kvr47csm

The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine

Jagannadha Avasarala, Todd Pietila
2017 F1000Research  
Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient's brain stricken with multiple sclerosis (MS) in 3D using 2D images has  ...  PubMed Abstract | Publisher Full Text Longstreth WT Jr, Manolio TA, Arnold A, et al.: Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people.  ...  The references -particularly the ones that deal with segmentation of MS MRI scans -are out-of-date.  ... 
doi:10.12688/f1000research.12336.2 fatcat:tzge22vhlbdy3n6x3osot6gxxi
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