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

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Ultrasound-Based Brainshift Estimation and Correction

Ultrasound-Based Brainshift Estimation and Correction

In medical collaboration with:
Dr. Lorenzo Bello - Università degli Studi di Milano, Dr. Marco Riva - Università degli Studi di Milano

In academic collaboration with:
Imperial College London Università Politecnico di Milano

Scientific Director: Nassir Navab

Contact Person(s): Christoph Hennersperger

Keywords: Surgical Workflow, Registration / Visualization, Medical Imaging, Ultrasound, Computer-Aided Surgery


In the context of intraoperative navigation for neurosurgery, brainshift still represents one of the main challenges. After skull and dura mater opening, brain tissue undergoes dynamic spatial modification due to gravity, loss of Cerebrospinal fluid and resection of tissue. The goal of this project is the utilization of intra-cranial 3D freehand ultrasound in order to directly estimate ocurring brain-shift and allow for a subsequent correction for it within available neur-navigation systems used for guidance in the operating room.


Figure 1: Estimated deformation field from intracranial acquisitions
Figure 2: Workflow for intra-cranial data acquisition and compensation based on image-based registration.


Contact Person(s)

Christoph Hennersperger
Dr. Christoph Hennersperger

Working Group

Ahmad Ahmadi
Dr. Ahmad Ahmadi
Benjamin Gutierrez Becker
Benjamin Gutierrez Becker
Christoph Hennersperger
Dr. Christoph Hennersperger
Fausto Milletari
Fausto Milletari


Amin Katouzian
Dr. Amin Katouzian


Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.

internal project page

Please contact Christoph Hennersperger for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 15 Mar 2015 - 09:34 - SebastianPoelsterl

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