Description
Medical devices utilizing single imaging technology have been used for decades. While single imaging technology has its merits, multimodal or combination of different imaging techniques have the potential to improve the diagnostic accuracy of the physician and help achieve better treatment outcomes.
With the introduction of whole-body PET-CT and SPECT-CT, employing the power of two imaging technology has dominated the anatomical imaging in key disease areas such as cardiovascular, neurodegenerative, and oncology diseases. The ability of such hybrid imaging systems to answer multiple clinical questions like early diagnosis, disease staging, and effective response, has led to traction for their use in clinical applications.
Recently, advances in hybrid imaging systems have experienced the use of machine learning and artificial intelligence (AI) for imaging applications such as computer vision. These advances have started impacting radiology and nuclear medicine fields.
The research report gives an overview of the hybrid imaging systems, key drivers and challenges, and recent product expansions. The research report is segmented based on the combination of imaging technology used in hybrid imaging systems such as PET-CT, SPECT-CT, PET-MRI, and OCT-Fundus. The report also explores growth opportunities for advanced hybrid imaging systems in different disease indications.
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