Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique
Abstract Multimodal image registration plays a crucial role in biomedical research, enabling the integration of complementary information from different imaging techniques. We present a novel feature-based approach for multimodal image registration, alongside traditional intensity-based methods. Our...
Saved in:
| Main Authors: | Mohammad Javad Shojaei, Lichen Yang, Kazem Shojaei, Jeerapat Doungchawee, Richard W. Vachet |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-12862-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach
by: Bahman Shojaei, et al.
Published: (2024-09-01) -
A robust and accurate feature matching method for multi-modal geographic images spatial registration
by: Kai Ren, et al.
Published: (2025-05-01) -
Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching
by: Jennifer Leahy, et al.
Published: (2025-01-01) -
Mass Spectrometry Imaging Reveals That Gold Nanomaterial Surface Chemistry Affects Transport and Excretion in Mice over Time
by: Jeerapat Doungchawee, et al.
Published: (2025-01-01) -
Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features
by: Yi Yang, et al.
Published: (2025-06-01)