Abstract
In this paper we propose a new generative model for simultaneous brain parcellation and white matter lesion segmentation from multi-contrast magnetic resonance images. The method combines an existing whole-brain segmentation technique with a novel spatial lesion model based on a convolutional restricted Boltzmann machine. Unlike current state-of-the-art lesion detection techniques based on discriminative modeling, the proposed method is not tuned to one specific scanner or imaging protocol, and simultaneously segments dozens of neuroanatomical structures. Experiments on a public benchmark dataset in multiple sclerosis indicate that the method’s lesion segmentation accuracy compares well to that of the current state-of-the-art in the field, while additionally providing robust whole-brain segmentations.
Original language | English |
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Title of host publication | 1st International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015) : Revised Selected Papers |
Publisher | Springer |
Publication date | 2016 |
Pages | 9-20 |
ISBN (Print) | 978-3-319-30857-9 |
ISBN (Electronic) | 978-3-319-30858-6 |
DOIs | |
Publication status | Published - 2016 |
Event | 1st International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015) - Munich, Germany Duration: 5 Oct 2015 → 5 Oct 2015 Conference number: 1 |
Workshop
Workshop | 1st International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015) |
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Number | 1 |
Country | Germany |
City | Munich |
Period | 05/10/2015 → 05/10/2015 |
Other | Held in Conjunction with MICCAI 2015 |
Series | Lecture Notes in Computer Science |
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Volume | 9556 |
ISSN | 0302-9743 |