Three-dimensional bone registration based on a template model using Matlab and Visualization Toolkit (VTK).

Anatomical landmarks and bone morphology prediction of a femoral model based on local region matching algorithm using Matlab and VTK.

Automatic Bernard quadrant method and a manual GUI program for localizing the ACL insertion point using Matlab and VTK.

Predict automatically the anatomical landmarks and regions in distal femur and proximal tibia.

Measure the bone morphology of the knee joint and and build the anatomical coordinate system automatically.

Position the total knee arthroplasty (TKA) for reconstruct the knee joint mechanical axis.

The approach can be applicable for total hip replacement. In the future, the method can be combined with human skeletal kinetics simulation to find the optimal TKA position that recover the knee kinetics for patients.

Developing a software for computing the intrinsic and extrinsic parameters of a camera using Matlab and image processing toolbox.

Using Structure from Motion (SfM) for 3D scence reconstruction.

Reconstructing the 3D human gait based on a single camera video sequence.

Estimating the human gait parameters based on single view geometry and principal component analysis with Matlab.

Render digital reconstructed radiograph and enhance the X-ray image for automatic 2D-3D image registration.

Intensity based 2D-3D image registration for a bi-planar system using Matlab.

Quantify the knee joint kinematics and arthro-kinematics using a bi-planar fluoroscopic system.

Generate Digital Reconstructed Radiographs (DRR) images of knee and foot.

Un-paired image to image translation to transfer the DRR image style to X-ray image style using CycleGAN.

Using Mask-RCNN to detect and semantic segment the knee and foot bones.

Using Deeplabcut to estimate keypoints of the foot.

Skeletal kinematics and surface kinematics in the foot during normal walking using BPF system using Matlab and VTK.

Kinematics difference in the foot between the normal versus flatfoot subjects using BPF system using Matlab and VTK.

The temporal ligaments length of the foot and ankle between normal and flatfoot subject during walking.