MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-28
Часть–2_Июнь –2025
355
THREE-DIMENSIONAL VISUALIZATION AND MORPHOMETRIC
ANALYSIS OF THE DEVELOPING FETAL BRAIN USING MRI AND
DIGITAL RECONSTRUCTION
Assistant of the Department of Anatomy and Clinical Anatomy,
Bukhara State Medical Institute named after Abu Ali ibn Sina
Davronov U.T.
Abstract: Advancements in magnetic resonance imaging (MRI) and digital
reconstruction have revolutionized fetal neuroimaging by providing high-resolution,
non-invasive insights into the developing brain. This study aimed to analyze the
morphometric growth patterns and structural organization of the fetal brain in
different gestational stages through three-dimensional (3D) visualization and
measurement using MRI and digital modeling. A cohort of 50 fetuses between 18 to
36 weeks of gestation was studied. T2-weighted MRI sequences were acquired,
segmented, and reconstructed using digital software for volumetric and surface
analysis. Significant trends in brain volume, cortical folding, and structural
asymmetry were observed across gestational weeks. The findings underscore the
utility of 3D morphometric analysis in understanding fetal neurodevelopment and
detecting early anomalies.
1. Introduction
The human brain undergoes rapid morphological changes during fetal
development, forming the foundation for postnatal neurological function. Traditional
ultrasound, though widely used, has limitations in detailing intricate brain structures.
Magnetic resonance imaging (MRI), due to its superior soft-tissue contrast and non-
invasive nature, has emerged as a powerful modality for fetal brain imaging. The
integration of digital reconstruction with MRI data enables the generation of accurate
three-dimensional (3D) models for morphometric analysis, allowing for precise
quantification of brain growth and shape alterations.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-28
Часть–2_Июнь –2025
356
Numerous studies have described fetal brain development using linear or
volumetric measurements, but few have utilized full 3D reconstructions to evaluate
developmental trajectories in detail. This study aims to fill that gap by providing a
comprehensive 3D morphometric analysis of the developing fetal brain from the
second to third trimesters, highlighting key anatomical transformations.
2. Materials and Methods
2.1 Study Population
This cross-sectional study included 50 pregnant women undergoing clinically
indicated fetal MRI at 18–36 weeks of gestation. Inclusion criteria included singleton
pregnancy, no evidence of fetal anomalies, and informed consent. The study protocol
was approved by the institutional ethics committee.
2.2 MRI Acquisition
MRI scans were performed on a 1.5T Siemens Avanto system using a div
coil. T2-weighted single-shot fast spin-echo sequences were obtained in axial,
coronal, and sagittal planes. Parameters included: TR/TE = 1600/90 ms, slice
thickness = 3 mm, field of view = 240 mm, matrix = 256 × 256.
2.3 Image Processing and 3D Reconstruction
MR images were imported into ITK-SNAP for manual segmentation of brain
structures. The brain was segmented into major components: cerebral hemispheres,
cerebellum, ventricles, and brainstem. Reconstructed 3D models were generated
using 3D Slicer. Morphometric data (volume, surface area, sulcal depth) were
extracted and analyzed using MATLAB.
2.4 Morphometric Analysis
Gestational age-specific morphometric parameters were analyzed using
regression models. Brain growth curves were generated, and developmental
asymmetries were assessed by comparing left and right hemisphere measurements.
Cortical folding was evaluated by calculating gyrification indices and sulcal depth
maps.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-28
Часть–2_Июнь –2025
357
3. Results
3.1 Brain Volume Growth
Total brain volume showed a non-linear exponential increase with gestational
age (R² = 0.92). Mean cerebral volume increased from 45 cm³ at 18 weeks to 310 cm³
by 36 weeks. The cerebellum and brainstem also demonstrated significant volume
expansion, though at a lower rate compared to the cerebrum.
3.2 Cortical Maturation and Folding
Surface-based analysis revealed the initial appearance of major sulci (e.g.,
Sylvian fissure, central sulcus) between 22–24 weeks. By 28–30 weeks, cortical
folding became more complex, with increasing gyrification index values, indicating
progressive maturation. The sulcal depth reached a mean of 6.5 mm by 36 weeks,
compared to 2.1 mm at 20 weeks.
3.3 Hemispheric Asymmetries
A statistically significant asymmetry in hemispheric development was
observed, with the right hemisphere showing greater volume and earlier sulcation in
60% of cases from 24 weeks onward (p < 0.05). The temporal lobe showed the most
consistent asymmetry.
3.4 Ventricular and Midline Structure Development
The lateral ventricles decreased in relative volume with advancing gestation,
while midline structures such as the corpus callosum became more defined and
measurable by 24 weeks. The corpus callosum length increased from 12 mm (at 20
weeks) to 36 mm (at 36 weeks).
4. Discussion
This study provides detailed 3D visualization and morphometric analysis of
fetal brain development, validating MRI and digital reconstruction as reliable tools
for prenatal neurodevelopmental assessment. The observed volumetric expansion and
cortical folding patterns align with known neurobiological milestones, such as
neuronal migration and cortical organization.
The right hemisphere dominance observed in this study supports earlier
findings in neurodevelopmental asymmetry. These findings may have implications
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-28
Часть–2_Июнь –2025
358
for early diagnosis of conditions such as lissencephaly or agenesis of the corpus
callosum, where 3D morphometric markers may offer early predictive value.
One limitation of the study is the manual segmentation, which may introduce
observer bias. Future studies could benefit from AI-assisted segmentation for
increased consistency and efficiency.
5. Conclusion
Three-dimensional MRI reconstruction provides a powerful and non-invasive
method for monitoring fetal brain development. Quantitative morphometric data can
enhance our understanding of normal and abnormal brain growth patterns, offering
early markers for neurological conditions. The integration of MRI with computational
imaging holds promise for the future of prenatal diagnostics.
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