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Advancements in medical image fusion: a comprehensive study on RTVD framework and FPGA deployment challenges | Synapse
March 3, 2026
Advancements in medical image fusion: a comprehensive study on RTVD framework and FPGA deployment challenges
WE
Walid El‐Shafai
Prince Sultan University
CG
C. Ghandour
SE
S. El-Rabaie
Key Points
Significant challenges arise in FPGA deployment for optimizing image fusion algorithms, highlighting system complexities.
The study demonstrates the efficacy of the RTVD framework in enhancing medical image processing accuracy and speed.
Challenges in integrating FPGA technology indicate potential for improved performance in image fusion applications across various settings.
The findings suggest a need for further investigation into algorithm optimization techniques to address FPGA deployment hurdles.
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El‐Shafai et al. (Tue,) studied this question.
synapsesocial.com/papers/69a76073c6e9836116a2d376
https://doi.org/https://doi.org/10.1007/s11042-026-21355-x