Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheurmann, Frank Schreiber, Meike W. Vernooij, Wiro Niessen, Martin Skalej, Stefanie Schreiber, More Authors

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Abstract

    Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, and are a marker of cerebral small vessel disease. Most studies use time-consuming and subjective visual scoring to assess these structures. Recently, automated methods to quantify enlarged perivascular spaces have been proposed. Most of these methods have been evaluated only in high resolution scans acquired in controlled research settings. We evaluate and compare two recently published automated methods for the quantification of enlarged perivascular spaces in 76 clinical scans acquired from 9 different scanners. Both methods are neural networks trained on high resolution research scans and are applied without fine-tuning the networks’ parameters. By adapting the preprocessing of clinical scans, regions of interest similar to those computed from research scans can be processed. The first method estimates …
    Original languageEnglish
    Title of host publicationProceedings of 2nd International Workshop on Context-Aware Surgical Theaters,OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, MLCN 2019
    EditorsLuping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
    PublisherSpringer
    Pages103-111
    Number of pages9
    ISBN (Electronic)978-3-030-32694-4
    ISBN (Print)9783030326944
    DOIs
    Publication statusPublished - 2019
    Event2nd International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019: and the 2nd International Workshop on Machine Learning in Clinical Neuroimaging, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019 - Shenzhen, China
    Duration: 17 Oct 201917 Oct 2019

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11796 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Workshop

    Workshop2nd International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019
    CountryChina
    CityShenzhen
    Period17/10/1917/10/19

    Keywords

    • Clinical MRI
    • Deep learning
    • Perivascular spaces

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