2010 Summer Project Week Liver Ablation
Liver with fiducials
Liver with fiducials and segmentation
Liver model
Key Investigators
- BWH: Haiying Liu, Noby Hata, Sota Oguro
- Georgetown University: Ziv Yaniv
Objectives
- denoising and bias field correction of 3D US data
- model for the combined image correction, segmentation and registration between 3D US and MRI
- visualization of all processing steps within Slicer
Approach, Plan
The bias field on the 3D US data varies spatially with a very low frequency. It is similar to the bias field effects in MR caused by magnetic inhomogeneities. We will investigate whether an EM-based approach may be used for the correction, similar to the previous work by Wells et. al. and Pohl et. al., and try to adapt the already existing Slicer code to this problem.
For the registration, we may have to come up with a new formulation that uses not only the statistics of the intensities, but also some additional information about the tissue boundaries. The tissue boundaries are directly influencing the visible content of the 3D US images, however, they have a different appearance and structure within the MRI.
Progress
Fill this at the end of the week
Delivery Mechanism
The work will be evolved as a Slicer module for surgical planning.
