2016
DOI: 10.1007/s12021-016-9301-1
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Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database

Abstract: Changes of white-matter lesions (WMLs) are good predictors of the progression of neurodegenerative diseases like multiple sclerosis (MS). Based on longitudinal magnetic resonance (MR) imaging the changes can be monitored, while the need for their accurate and reliable quantification led to the development of several automated MR image analysis methods. However, an objective comparison of the methods is difficult, because publicly unavailable validation datasets with ground truth and different sets of performan… Show more

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Cited by 24 publications
(22 citation statements)
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“…Among other methods, image differences ( Battagliniet al, 2014 , Ganileret al, 2014 ) and deformation fields ( Boscet al, 2003 , Cabezaset al, 2016 , Salemet al, 2017 ) have been used to detect new lesions. Also, intensity-based approaches using local context between scans have been proposed ( Lesjak et al, 2016 ). Overall, methods for detection of lesion growth have largely relied on classic image processing methods so far ( Cheng et al, 2018 , Schmidt et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Among other methods, image differences ( Battagliniet al, 2014 , Ganileret al, 2014 ) and deformation fields ( Boscet al, 2003 , Cabezaset al, 2016 , Salemet al, 2017 ) have been used to detect new lesions. Also, intensity-based approaches using local context between scans have been proposed ( Lesjak et al, 2016 ). Overall, methods for detection of lesion growth have largely relied on classic image processing methods so far ( Cheng et al, 2018 , Schmidt et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…However, this approach is associated with high variability and inconsistency ( García-Lorenzo et al, 2013 ). Others have tried to explicitly incorporate information from both MRI volumes, e. g., intensity-based approaches considering local context between volumes have shown promising results ( Lesjak et al, 2016 ). Overall, longitudinal methods have relied primarily on classical image processing methods until today ( Cheng et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…However, for video surveillance, the Gaussian mixture model was used for static scene recovery [21]. Meanwhile, for remote sensing and medical images, to perform image alignment, some elastic registration algorithms should be used to deal with the deformed images [20,22] Our study is the first practical system for plug inspection, and so there are hardly any images containing defective plugs collected by us. Therefore, just at the present stage, the number of defective plugs is too scarce to train a classifier that can classify defective plugs directly from large numbers of inspection images.…”
Section: Discussionmentioning
confidence: 99%
“…To solve those problems with plug inspection, we design a VIS using a change detection framework. Although the concept of change detection is already used in the fields of remote sensing [19,20], video surveillance [21], and medical diagnosis and treatment [22], the change detection framework proposed in this paper is designed especially for railways. Because the detected objects vary based on the application, it is difficult to compare algorithms using the change detection framework [23].…”
Section: Introductionmentioning
confidence: 99%
“…2. Comparison of the registration and lesion detection of sequential-def and joint on real data [21]. The second column shows I 2 registered on I 1 and the third column shows the lesion map superimposed on I 2 .…”
Section: Synthetic Brainweb Datamentioning
confidence: 99%