2014 Summer Project Week:DRAMMS Slicer

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Key Investigators

  • MGH: Yangming Ou, Randy Gollub, Jayashree Kalpathy-Cramer
  • Isomics: Steve Pieper
  • UPenn: Christos Davatzikos
  • BWH: Andriy Fedorov, Tina Kapur, Ron Kikinis


Project Description

[DRAMMS] is a general-purpose, fully-automated, deformable image registration algorithm and software package. It was designed for 2D-to-2D and 3D-to-3D cross-subject, longitudinal, multi-modal registration tasks, and has been recently extended for spatial-temporal (4D) registration (for the quantification of tumor changes, the study of neuro-deveolopment, and maintenance of 4D segmentation consistency) and population-wise registration (for atlas constructions). Several evaluation studies comparing DRAMMS with many state-of-the-art registration algorithms are also being documented for brain [DRAMMS_in_Brain_Registration], cardiac [DRAMMS_in_Cardiac_Registration], breast registration tasks. The integration of DRAMMS into Slicer is expected to bring more diverse deformable registration options into Slicer, especially an option to deal with registration of both brain and non-brain structures, and to deal with registration under a partial loss of correspondences.


Objective

  • To integrate the DRAMMS deformable registration software into 3DSlicer.

Approach, Plan

  • Starting from the current stand-alone DRAMMS version (academic- but not commercial-friendly), figure out the necessary interface to integrate it into Slicer.

Progress

References

  • [Evaluation of DRAMMS in Longitudinal Breast Registration]