Journal of IMAB - Annual Proceeding (Scientific Papers)
Publisher: Peytchinski, Gospodin Iliev
ISSN: 1312 773X (Online)
Issue: 2016, vol. 22, issue 1
Subject Area: Medicine
Pages: 1029-1032
DOI: 10.5272/jimab.2016221.1029
Published online: 08 February 2016

J of IMAB 2016 Jan-Mar;22(1):1029-1032
Ivan Dimitrov1Corresponding Autor, Radoslav Georgiev2, Ara Kaprelyan3, Yavor Enchev4, Margarita Grudkova3, Nataliya Usheva5, Borislav Ivanov6.
1) Department of Nursing, Medical University, Varna, Sliven Affiliate
2) Department of Imaging Diagnostics and Radiotherapy, Medical University, Varna
3) Department of Neurology, Medical University, Varna
4) Department of Neurosurgery and ENT Diseases, Medical University, Varna
5) Department of Social Medicine and Healthcare Organization, Medical University, Varna
6) Department of Clinical Medical Sciences, Dental Faculty, Medical University, Varna, Bulgaria.

Background: The continuous progress of information technology has made possible the creation of tools for post processing of magnetic resonance and other imaging modalities, including software programmes aimed at volumetric studies of the brain. They have the potential to enrich visual data with precise numeric values but have to be used with caution because of their possible susceptibility to errors if scans with specific pathology are fed in.
Objective: The purpose of the present study is to assess whether filling white matter lesions on magnetic resonance scans of multiple sclerosis patients would influence volumetric values.
Methods: MS lesions were filled on T1 3D images of 49 patients by the lesion-filling algorithm of FSL, using previously created lesion masks. Volumes of brain grey and white matter, peripheral grey matter and ventricle CSF were calculated using SIENAX for the filled and non-filled series, which were then compared.
Results: There were statistically significant differences for white matter volume before and after lesion filling (p<0.05). No other volumes were significantly different.
Conclusion: Filling of white matter lesions may be time-consuming, but can improve the accuracy of SIENAX by reducing bias due to misidentification of tissue intensity. Sometimes though, improvement of specific values may not reach statistical significance.

Key words: lesion filling, multiple sclerosis, SIENAX, volumetric study,

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Please cite this article in PubMed Style or AMA (American Medical Association) Style:
Dimitrov I, Georgiev R, Ara Kaprelyan A, Enchev Y, Grudkova M, Usheva N, Ivanov B. Influence of white matter lesion filling on volumetric assessment in multiple sclerosis. J of IMAB. 2016 Jan-Mar;22(1):1029-1032. DOI:

Correspondence to: Ivan Dimitrov, MD, PhD; First Clinic of Neurology, Sveta Marina University Hospital; 1, Hristo Smirnenski str., 9010 Varna, Bulgaria; E-mail:

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Received: 29 October 2015
Published online: 08 February 2016

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