Research Areas

CBCT(Cone Beam Computed Tomography)

Dental image measurement assistant system based on artificial intelligence 

Automatic measurement of bone mineral density from quantitative cone-beam CT (QCBCT) images

Figure 2

Deep learning-based QCBCT-NET architecture of combining Cycle-GAN and the multi-channel U-net

 



Structure-preserving quality improvement of cone beam CT images based on artificial intelligence 

Automatic generation of CT-like images from CBCT images using a patchwise contrastive learning-based GAN model
 



Deep learning-based generation of CT-like images 





The generated CT-like images by deep learning methods and input CBCT images (the first and third rows) and their subtractions from the ground truth CT images (the second and fourth rows)

 

Material Decomposition using Spectral Computed Tomography

Molecular imaging method for contrast agent and anticancer drug using multi-energy CT

A multi-energy CT capable of in vivo molecular/functional imaging using photon counting X-ray sensor, and gold nanoparticle contrast agent-based molecular imaging method for diagnosis of cancer and metastasis
 



Advantages of multi-energy CT over conventional CT