Open AccessThree-Dimensional Holographic Reconstruction of Brain Tissue Based on Convolution Propagation
Author(s) -
Rania M. Abdelazeem,
Doaa Youssef,
Jala El-Azab,
Salah Hassab-Elnaby,
Mostafa Agour
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1472/1/012008
Subject(s) - holography , brain tissue , projection (relational algebra) , convolution (computer science) , optics , white matter , computer science , iterative reconstruction , phase (matter) , plane (geometry) , physics , artificial intelligence , magnetic resonance imaging , biomedical engineering , mathematics , algorithm , geometry , artificial neural network , medicine , quantum mechanics , radiology
In this study, a dynamic holographic projection system for brain tissue and its anatomical structures extracted from Magnetic Resonance (MR) plane slice is reported. Computer holograms are calculated using a modified Gerchberg-Saxton (GS) iterative algorithm where the projection is based on the plane wave decomposition. First, brain anatomy includes white matter (WM), grey matter (GM) and brain tissue are extracted. Then, phase holograms using the proposed method are generated. Finally, single-phase hologram for the whole brain anatomy is generated and is optically reconstructed by a phase-only spatial light modulator (SLM) at different depths. The obtained results revealed that the three-dimensional holographic projection of MR brain tissue can aid to provide better interpretation of brain anatomical structure to achieve better diagnostic results.