Use case I: Imaging biomarkers in neurological disease. Focus on multiple sclerosis

Diana M. Sima, Dirk Loeckx, Dirk Smeets, Saurabh Jain, Paul M. Parizel, Wim Van Hecke

Research output: Chapter in Book/Conference paperChapter

2 Citations (Scopus)


Imaging is widely used for diagnosis and monitoring of neurological diseases. CT scans are routinely acquired in emergency units in patients with traumatic injuries or stroke. PET imaging has gained a strong foothold in oncology. MRI has become the standard of practice for the diagnosis, follow-up and management of numerous neurological and psychiatric conditions. All of these imaging techniques have in common that, in clinical practice, the images need to be interpreted visually by trained specialists, who are responsible for initial diagnosis or for interpretation of follow-up examinations. Within the scientific literature there is increasing emphasis on the use of quantitative medical imaging biomarkers, i.e. relevant numerical values that can be extracted from 2D or 3D medical image data sets, using advanced image processing techniques. Many imaging biomarkers, such as volumetric assessment of brain structures, have been shown to have excellent sensitivity and specificity for diagnosis or prognosis of various neurological diseases. In this chapter, we shall focus on the development of relevant MR imaging biomarkers for patients with multiple sclerosis (MS). However, several of the techniques described below can be generalised to other neurological conditions.

Original languageEnglish
Title of host publicationImaging Biomarkers
Subtitle of host publicationDevelopment and Clinical Integration
EditorsLuis Martí-Bonmati, Angel Alberich-Bayarri
Place of PublicationSwitzerland
PublisherSpringer International Publishing AG
Number of pages12
ISBN (Electronic)9783319435046
ISBN (Print)9783319435022
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Fingerprint Dive into the research topics of 'Use case I: Imaging biomarkers in neurological disease. Focus on multiple sclerosis'. Together they form a unique fingerprint.

Cite this