MaMultiDeformReg

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Multi-modal Deformable Registration in the Context of Neurosurgical Brain Shift

Supervision: Christoph Hennersperger, Julia Rackerseder, Dr. Benjamin Frisch Prof. Dr. Nassir Navab Student: Stefan Matl

Abstract

Registration of medical images is crucial for bringing data obtained by different sources or at a different time into a common reference frame. Adding real-time requirements to 3D multi-modal registration allows physicians to analyze the combination of medical data both preoperatively as well as intraoperatively, providing additional benefits for the patient and helping to achieve a desirable procedure outcome.

Different applications usually induce several underlying geometrical transformations ranging from global rigid movements to local nonlinear deformations such as brain shift in neurosurgery or compression of liver tissue during respiratory motion. Using a deformable registration to correct local tissue distortions allows for a transformation of preoperative data into an intraoperatively acquired local reference frame. The integration of intrinsic tissue properties and biomechanical constraints can further extend the registration framework.

This thesis concentrates on real-time multi-modal deformable registration between Ultrasound (US) and X-ray Computed Tomography (CT) as well as respective Magnetic Resonance Imaging (MRI). Existing registration techniques will be analyzed and a framework to register between preoperative X-ray CT or MRI data and intraoperative US images with a particular focus on brain shift will be developed. Furthermore, the transformed preoperative data are to be visualized alongside with surgical tools, e.g. for guidance of a surgical procedure.

ProjectForm
Title: Multi-modal Deformable Registration in the Context of Neurosurgical Brain Shift
Abstract: Registration of medical images is crucial for bringing data obtained by different sources or at a different time into a common reference frame. Adding real-time requirements to 3D multi-modal registration allows physicians to analyze the combination of medical data both preoperatively as well as intraoperatively, providing additional benefits for the patient and helping to achieve a desirable procedure outcome. Different applications usually induce several underlying geometrical transformations ranging from global rigid movements to local nonlinear deformations such as brain shift in neurosurgery or compression of liver tissue during respiratory motion. Using a deformable registration to correct local tissue distortions allows for a transformation of preoperative data into an intraoperatively acquired local reference frame. The integration of intrinsic tissue properties and biomechanical constraints can further extend the registration framework. This thesis concentrates on real-time multi-modal deformable registration between Ultrasound (US) and X-ray Computed Tomography (CT) as well as respective Magnetic Resonance Imaging (MRI). Existing registration techniques will be analyzed and a framework to register between preoperative X-ray CT or MRI data and intraoperative US images with a particular focus on brain shift will be developed. Furthermore, the transformed preoperative data are to be visualized alongside with surgical tools, e.g. for guidance of a surgical procedure.
Student: Stefan Matl
Director: Prof. Dr. Nassir Navab
Supervisor: Christoph Hennersperger, Julia Rackerseder, Dr. Benjamin Frisch
Type: DA/MA/BA
Area: Registration / Visualization, Medical Imaging, Computer-Aided Surgery
Status: running
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