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A Pipeline to Characterize Structural Heart Defects in the Fetal Mouse
Published on: December 16, 2022
3D MRI heart segmentation of mouse embryos
T Zouagui1, E Chereul, M Janier
1University of Sciences and Technology of Oran (USTO), Electronics Department, Oran, Algeria. tarik.zouagui@yahoo.fr
Computers in Biology and Medicine
|November 27, 2009
Summary
This study introduces a semi-automatic framework using 3D deformable models for segmenting mouse embryo hearts. This aids in understanding cardiac development and identifying malformations, crucial for human developmental studies.
Area of Science:
- Developmental biology
- Medical imaging
- Biomedical engineering
Background:
- Magnetic Resonance Imaging (MRI) is vital for anatomical mouse studies.
- Mouse embryo development research informs human developmental mechanisms.
- Cardiac malformations are a significant cause of childhood mortality.
Purpose of the Study:
- To develop a semi-automatic image segmentation framework for identifying cardiac malformations in mouse embryos.
- To utilize 3D deformable models for precise heart structure segmentation.
- To advance the understanding of congenital heart defects through developmental studies.
Main Methods:
- Implementation of a semi-automatic image segmentation framework.
- Application of 3D deformable models for segmentation.
- Segmentation of 3D mouse embryo heart structures, including ventricles and heart muscle.
Main Results:
- Successful segmentation of 3D mouse embryo heart structures.
- Quantitative results for ventricles and heart muscle segmentation.
- Comparison of semi-automatically segmented models with manually segmented data.
Conclusions:
- The developed framework effectively segments mouse embryo heart structures.
- This approach aids in identifying cardiac malformations relevant to human development.
- Semi-automatic segmentation offers a valuable tool for embryological research and congenital heart defect studies.
