State-of-the-art segmentation techniques and future directions for multiple sclerosis brain lesions

A Kaur, L Kaur, A Singh - Archives of Computational Methods in …, 2021 - Springer
Manual segmentation of multiple sclerosis (MS) in brain imaging is a challenging task due to
intra and inter-observer variability resulting in poor reproducibility. To overcome the …

An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI

S Roy, D Bhattacharyya, SK Bandyopadhyay… - Computer methods and …, 2017 - Elsevier
Background and objectives Multiple sclerosis is one of the major diseases and the
progressive MS lesion formation often leads to cognitive decline and physical disability. A …

[PDF][PDF] Effectiveness of group metacognitive therapy in self-efficacy and defense styles in women with multiple sclerosis

E Asgharkhah, H Shareh - Journal of Fundamentals of Mental …, 2017 - scholar.archive.org
Introduction: This study aims to investigate the effectiveness of group metacognitive therapy
in self-efficacy and defense styles in women with multiple sclerosis (MS). Materials and …

PET imaging in multiple sclerosis

CWJ van der Weijden, JF Meilof… - PET and SPECT in …, 2021 - Springer
Multiple sclerosis (MS) pathology is associated with inflammation and demyelination in the
central nervous system (CNS), which leads to neurodegeneration. Various positron …

A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics

J Touati, M Bologna, A Schwein, F Migliavacca… - Computers in Biology …, 2017 - Elsevier
Centerlines of blood vessels are useful tools to make important anatomical measurements
(length, diameter, area), which cannot be accurately obtained using 2D images. In this paper …

[PDF][PDF] An automatic multiple sclerosis lesion segmentation approach based on cellular learning automata

M Moghadasi, G Fazekas - International Journal of Advanced …, 2019 - researchgate.net
Multiple Sclerosis (MS) is a demyelinating nerve disease which for an unknown reason
assumes that the immune system of the body is affected, and the immune cells begin to …

Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions

A Galimzianova, Ž Lesjak, B Likar… - … Imaging 2015: Image …, 2015 - spiedigitallibrary.org
Neuroimaging biomarkers are an important paraclinical tool used to characterize a number
of neurological diseases, however, their extraction requires accurate and reliable …

Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions

A Galimzianova, Ž Lesjak, DL Rubin… - Journal of Medical …, 2018 - spiedigitallibrary.org
Multiple sclerosis (MS) is a neurological disease characterized by focal lesions and
morphological changes in the brain captured on magnetic resonance (MR) images …

Medical image segmentation based on beta mixture distribution for effective identification of lesions

S Anuradha, CH Satyanarayana - … and Devices: Proceedings of ICCD 2016, 2017 - Springer
Brain imaging plays a vital role toward the identification of diseases such as seizures,
lesions, sclerosis, and the other inhomogeneities. Methodologies for effective and efficient …

[PDF][PDF] Myelin imaging

K van der Weijden - research.rug.nl
As probably became clear while reading the thesis, is that I engulfed myself in literature
regarding both PET and MRI. This is mainly due to the finalization of the scanning …