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Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS

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Multimodal Brain Image Analysis (MBIA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7509))

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Abstract

MR Images of the brain in Multiple Sclerosis (MS) show regions of signal abnormalities that can provide information for the diagnosis and for the pathogenesis of the disease. Two very commonly used MRI contrasts in this context are the T 1 weighted (T 1-w) and the FLAIR. This study shows that additional information can be extracted from the Susceptibility Weighted MRI (SWI) contrast. In particular, the signal and the contrast of white matter lesions in SWI are examined and compared to T 1-w and FLAIR contrasts. The lesions are analysed into hypo- and hyper-intense. Additionally, the spatial distributions for the two lesion types are computed and summarised with their expected distance from the ventricles. The data from 19 MS patients and 23 controls have been acquired and examined. The results show the presence of two lesion classes in SWI for MS patients, while T 1-w and FLAIR contrast mechanisms present only a single class each. The hypo-intense SWI lesions appear closer to the ventricles and are more correlated to the T 1-w signal rather than the FLAIR signal.

We acknowledge the funding support of the European Commission through the MIBISOC project (Marie Curie Initial Training Network, FP7 PEOPLE-ITN-2008, GA n. 238819).

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Nottingham, UK

    Maddalena Strumia & Li Bai

  2. Dep. of Neuroradiology, University Medical Centre Freiburg, Germany

    Constantin Anastasopoulos & Irina Mader

  3. Dep. of Radiology, University Medical Centre Freiburg, Germany

    Jürgen Henning & Stathis Hadjidemetriou

Authors
  1. Maddalena Strumia
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  2. Constantin Anastasopoulos
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  3. Irina Mader
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  4. Jürgen Henning
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  5. Li Bai
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  6. Stathis Hadjidemetriou
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Editor information

Editors and Affiliations

  1. School of Medicine, Department of Radiology and Biomedical Reserach Imaging Center, The University of North Carolina at Chapel Hill, 130 Mason Farm Road, 27599, Chapel Hill, NC, USA

    Pew-Thian Yap  & Dinggang Shen  & 

  2. Department of Computer Science and Bioimaging Research Center, The University of Georgia, Boyd GSRC 422, 30602, Athens, GA, USA

    Tianming Liu

  3. Department of Radiology, Harvard Medical School, Brigham and Women’s Hospital, 1249 Boylston Street, 02215, Boston, MA, USA

    Carl-Fredrik Westin

  4. School of Medicine, Department of Radiology and Imaging Sciences, Indiana University, 950 W Walnut Street, R2 E124, 46202, Indianapolis, IN, USA

    Li Shen

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© 2012 Springer-Verlag Berlin Heidelberg

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Strumia, M., Anastasopoulos, C., Mader, I., Henning, J., Bai, L., Hadjidemetriou, S. (2012). Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS. In: Yap, PT., Liu, T., Shen, D., Westin, CF., Shen, L. (eds) Multimodal Brain Image Analysis. MBIA 2012. Lecture Notes in Computer Science, vol 7509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33530-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-33530-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33529-7

  • Online ISBN: 978-3-642-33530-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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