Abstract
Brain-related study must be very precise and accurate. As the brain is one of the important organ in the human body. Hence the medical image processing plays a vital role in early diagnosis and treatment planning. In the proposed paper layering mechanism is used to construct 3D brain image from several 2D Magnetic Resonance Images (MRI). In the first step, intensity-based registration technique is used to perform the registration of T1 and T2 weighted MRI images. The registered image is segmented for easy diagnosis, using gray level feature extraction and region growing segmentation methods. Finally tri-linear interpolation method is used to construct a 3D image from segmented image by matching the characteristic points of T1 and T2 weighted images. By confirming simulation results, we concluded that proposed approach is more efficient and accurate to construct 3D brain model from 2D MR images.
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Notes
- 1.
DICOM: Digital Imaging and Communications in Medicine.
- 2.
HIPPA: Health Insurance Portability and Accountability Act.
- 3.
IRB: Institutional Review Board.
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Vidhya, K., Patil, M.V., Hegadi, R.S. (2019). A Systematic Approach for Constructing 3D MRI Brain Image over 2D Images. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore. https://doi.org/10.1007/978-981-13-9184-2_14
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