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Updated: Mar 28, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
Published on: October 27, 2023
[Hybrid imaging: clinical evidence, opportunities]
György Trencsényi1, Sándor Kristóf Barna1, Ildikó Garai1
1ScanoMed Orvosi, Diagnosztikai, Kutató és Oktató Kft. Debrecen, Nagyerdei krt. 98., 4032.
Hybrid imaging, combining radiology and nuclear medicine, enhances disease diagnosis and drug development. These advanced techniques superimpose functional and morphological images for better insights into pathological and biochemical processes.
Area of Science:
- Medical Imaging
- Radiology
- Nuclear Medicine
Background:
- Hybrid imaging technologies integrate radiology and nuclear medicine for advanced diagnostics.
- Current routine procedures include positron emission tomography (PET) and single photon emission computed tomography (SPECT) combined with CT or MRI.
Purpose of the Study:
- To highlight the importance of hybrid imaging in translational research and clinical diagnostics.
- To explain how hybrid imaging aids in understanding pathological and biochemical processes.
- To demonstrate the role of hybrid imaging in accelerating drug development.
Main Methods:
- Utilizing combined imaging modalities like PET-CT, SPECT-CT, PET-MRI, and SPECT-MRI.
- Superimposing functional (nuclear medicine) and morphological (radiology) images.
- Employing clinical and preclinical non-invasive in vivo molecular imaging systems.
Main Results:
- Hybrid imaging provides high sensitivity and resolution, offering valuable information on pathological processes.
- These techniques enable visualization of biochemical and pathobiochemical processes crucial for disease understanding and treatment.
- In vivo molecular imaging aids in evaluating new drug candidates.
Conclusions:
- Hybrid imaging is crucial for both translational research and clinical diagnostics.
- These advanced imaging techniques improve the understanding of diseases at a molecular level.
- Hybrid imaging systems can significantly reduce the time and cost of drug development.
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