A Three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis Lesions
Date Issued
September 2021
DOI
10.1007/978-3-030-89128-2_26
Abstract
In the course of a human brain acquisition, which is acquired by a
magnetic resonance imager (MRI), two-dimensional (2D) slices of the brain are
captured. These have to be aligned and reconstructed to a three-dimensional (3D)
volume, which will better assist the doctor in following up the development of the
disease. In this study, a 3D reconstruction integrated system for MRI brain multiple sclerosis (MS) lesion visualization is proposed. Brain MRI images from 5 MS
subjects were acquired at four diffident consecutive time points (TP1-TP4) with an
interval of 6–12 months. MS lesions were manually segmented by an expert neurologist and semi-automatically by a system and reconstructed in a brain volume.
The proposed system assists the doctor in following up the MS disease progression
and provides support to better manage the disease. The proposed system includes
a 5-stage investigation (pre-processing, lesion segmentation, 3D reconstruction,
volume estimation and method evaluation), as well as a module for the quantitative
evaluation of the method. Twenty MRI images of the brain were used to evaluate
the proposed system. Results show that the 3D reconstruction method proposed in
this work, can be used to differentiate brain tissues and recognize MS lesions by
providing improved 3D visualization. These preliminary results provide evidence
that the proposed system could be applied in the future in clinical practice given
that it is further evaluated on more subjects.
magnetic resonance imager (MRI), two-dimensional (2D) slices of the brain are
captured. These have to be aligned and reconstructed to a three-dimensional (3D)
volume, which will better assist the doctor in following up the development of the
disease. In this study, a 3D reconstruction integrated system for MRI brain multiple sclerosis (MS) lesion visualization is proposed. Brain MRI images from 5 MS
subjects were acquired at four diffident consecutive time points (TP1-TP4) with an
interval of 6–12 months. MS lesions were manually segmented by an expert neurologist and semi-automatically by a system and reconstructed in a brain volume.
The proposed system assists the doctor in following up the MS disease progression
and provides support to better manage the disease. The proposed system includes
a 5-stage investigation (pre-processing, lesion segmentation, 3D reconstruction,
volume estimation and method evaluation), as well as a module for the quantitative
evaluation of the method. Twenty MRI images of the brain were used to evaluate
the proposed system. Results show that the 3D reconstruction method proposed in
this work, can be used to differentiate brain tissues and recognize MS lesions by
providing improved 3D visualization. These preliminary results provide evidence
that the proposed system could be applied in the future in clinical practice given
that it is further evaluated on more subjects.