Medical Image Processing

Medical Image Processing plays a crucial role in medical imaging systems and helps healthcare professionals in accurately interpreting images, identifying abnormalities, and making informed decisions for patient care. Deformable image registration (DIR) is an image processing technique that acquires a geometric mapping between images. Therefore, it plays an important role to analyze patient's geometric change over the course of radiation treatment.

We are interested in developing DIR algorithms with the help of artificial intelligence and/or biomechanics. Also, some of image processing techniques, including CBCT scatter correction and fiducial tracking, are based on image registration algorithms.

● Topic 1: AI- and biomechanics-based deformable image registration

● Topic 2: Clinical implementation of image registration algorithms

● Topic 3: Scatter correction of in-treatment CBCT images

● Topic 4: Scatter correction of CBCT images and proton dose calculation (completed)

Topic 01: AI- and biomechanics-based deformable image registration

Topic 02: Clinical implementation of image registration algorithms

Topic 03: Scatter correction of in-treatment CBCT images

Topic 04: Scatter correction of CBCT images and proton dose calculation (completed)