Archiv für den Autor: David Black

23.02.2016 – Human-Computer Interaction in the Operating Room: Solutions and Future Challenges, Invited Talk from Christian Hansen, University of Magdeburg

This talk will take place on 23 February at 16:00 in the Cartesium building (Rotunde) at the University of Bremen.  Please also see this link at the Faculty of Computer Science.

Die Bedienung medizinischer Software in Operationssälen stellt häufig eine große Herausforderung für Operateure und medizinisches Personal dar. Zentrale Informationen, wie präoperative Bild- und Planungsdaten eines Patienten, sind während eines Eingriffes zwar verfügbar, werden jedoch oftmals nicht OP-tauglich dargeboten. In dem Vortrag werden aktuelle Lösungskonzepte und zukünftige Herausforderungen für die Mensch-Maschine Interaktion in der Chirurgie und der interventionellen Radiologie diskutiert. Dabei werden neue Bedienkonzepte vorgestellt, welche in der Arbeitsgruppe „Computerassistierte Chirurgie“ in Magdeburg erforscht und klinisch evaluiert werden.


Jun.-Prof. Dr. Christian Hansen (Jahrgang 1980)

2000 – 2006 Studium der Computervisualistik mit Anwendungsfach Medizin an der Otto-von-Guericke-Universität Magdeburg

2006 – 2013 Wissenschaftlicher Mitarbeiter am Fraunhofer Institut für Bildgestützte Medizin (MEVIS) in Bremen

2012 Promotion an der Jacobs Universität in Bremen im Bereich medizinische Informatik

Seit 2013 Juniorprofessur für Computerassistierte Chirurgie an der Otto-von-Guericke-Universität Magdeburg

Seit 2015 Leitung der Forschungsgruppe „Therapieplanung und Navigation“ am For-schungscampus STIMULATE in Magdeburg

14./15.7.2015 – Visit to ICCAS, Leipzig

Presentation/Study of foot control prototypes of the student project InterOP.

19.6.2015 – Invited Talks from William M Wells and Tina Kapur, Harvard Medical School and Brigham and Women’s Hospital

These talks took place on 19 June at 14:00 in the Cartesium building (Rotunde) at the University of Bremen.

Translational Research in the Advanced Multimodality Image-Guided Operating Suite

Tina Kapur, Harvard Medical School and Brigham and Women’s Hospital

The Advanced Multimodal Image-Guided Operating (AMIGO) suite is a clinical translational test-bed for research of the National Center for Image-Guided Therapy (NCIGT) at Brigham and Women’s Hospital (BWH) and Harvard Medical School. NCIGT and AMIGO are funded under the Biomedical Technology Resource Centers program of the National Institute of Biomedical Imaging and Bioengineering. A unique resource for Image-Guided therapy, AMIGO represents and encourages multidisciplinary cooperation and collaboration among teams of surgeons, interventional radiologists, imaging physicists, computer scientists, biomedical engineers, nurses, and technologists to achieve the common goal of delivering the safest and the most effective state-of-the-art therapy to patients in a technologically advanced and patient-friendly environment.In this talk, Dr. Kapur will present an introduction to the AMIGO suite and highlight some of the technologies that enable clinical procedures in AMIGO.Biography:


Tina Kapur is the Executive Director of the Image Guided Therapy Program in the Department of Radiology at Brigham and Women’s Hospital. Dr. Kapur is the Dissemination Core PI for two national center grants, the National Alliance for Medical Image Computing (NA-MIC) and the National Center for Image Guided Therapy (NCIGT). She has numerous publications in medical image segmentation, and is the holder of several issued US and international patents in the field of surgical navigation. She is particularly interested in fostering collaborations between efforts in open science to accelerate important discoveries that improve health and save lives.She received her Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 1999. She was the Chief Scientist at a Boston area surgical navigation company, Visualization Technology Inc., and upon its acquisition by GE Healthcare, the Chief Scientist at the GE Navigation.

Uncertainty in Non-Rigid Registration: Methodology and Preliminary Applications

William M Wells, Harvard Medical School and Brigham and Women’s Hospital

Most deformable registration systems produce, as their “answer” to the registration problem, a “best” estimate of the transformation that relates the image data being registered.

Dr. Wells’ team believes that, as deformable registration is increasingly applied to interventional applications, it is becoming important to characterize the level of uncertainty in the results.

In this talk, Dr. Wells will summarize a thread of research at the Brigham and Women’s Hospital Surgical Plannling Lab that is aimed at the estimation of posterior distributions on the resulting transformations. Dr. Wells will describe the formalism, which uses a Gaussian-like prior on mechanical configurations that depends on elastic deformation energy and the estimation approaches: MCMC and a faster approximative approach.

In addition to the methodology, Dr. Wells will also show preliminary application results for visualizing geometric uncertainty in image-guided neurosurgery, and estimating the uncertainty in delivered dose in prostate and neck radiation therap. The work is a collaborative project with Petter Rishom and Firdaus Janoos.


William Wells is Professor of Radiology at Harvard Medical School and Brigham and Women’s Hospital (BWH), a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and a member of the affiliated faculty of the Harvard-MIT division of Health Sciences and Technology (HST). He received a Ph.D. in computer vision from MIT in 1992 under the supervision of Professor Grimson, and since that time has pursued research in medical image understanding at the BWH Surgical Planning Laboratory, much of it in collaboration with MIT graduate students. Prof. Wells periodically teaches the medical image processing component of HST-582, Biomedical Signal and Image Processing. He is widely known for his ground-breaking and heavily cited work on segmentation of MRI. He is also widely known for his work on multi-modality registration by maximization of Mutual Information for which he and Paul Viola recently received the IEEE ICCV Helmholtz “test of time” award.

11.6.2015 – Estimating abdominal aortic aneurysm wall stress in the clinic, Invited Talk from Karol Miller

Estimating abdominal aortic aneurysm wall stress in the clinic, Invited Talk from Karol Miller


Director of Intelligent Systems for Medicine Laboratory, The University of Western Australia,
Visiting Professor, University of Luxembourg,
Honorary Distinguished Professor, School of Engineering, Cardiff University

This talk took place on 11 June at 13:30 in MZH 5300 at the University of Bremen 

Mathematical modelling and computer simulation have proved tremendously successful in engineering. One of the greatest challenges for mechanists is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. In this lecture, Dr. Miller will demonstrate how computational mechanics can be used to improve abdominal aortic aneurysm (AAA) rupture risk prediction. Abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that if left untreated can expand to the point of rupture. Mechanically-speaking, rupture of an artery occurs when the local wall stress exceeds the local wall strength. It is therefore desirable to be able to non-invasively estimate the AAA wall stress for a given patient, quickly and reliably.

Dr. Miller will present an entirely new approach to computing the wall tension (i.e. the stress resultant equal to the integral of the stresses tangent to the wall over the wall thickness) within an AAA that relies on trivial linear elastic finite element computations, which can be performed instantaneously in the clinical environment on the simplest computing hardware. As an input to our calculations we only use information readily available in the clinic: the shape of the aneurysm in-vivo, as seen on a computed tomography (CT) scan, and blood pressure.
Using magnetic resonance (MR) images of the same patient, we can approximately measure the local wall thickness and calculate the local wall stress. What is truly exciting about this simple approach is that one does not need any information on material parameters, which represents a tremendous advancement in patient-specific modelling (PSM) where uncertainty in material data is recognized as a key limitation.

The methods demonstrated in this lecture are applicable to many other areas of biomechanics where the loads and loaded geometry of the system are known.

Karol Miller studied Applied Mechanics and received a PhD in Robotics from Warsaw University of Technology in 1994, and Doctorate of Science (Habilitation) in Biomechanics from the Polish Academy of Sciences in 2003. In 2002 he established the Intelligent Systems for Medicine Laboratory at the University of Western Australia. ISML’s mission is to work towards improving clinical outcomes through appropriate use of technology. It runs exciting research projects funded by the Australian Research Council, the National Health and Medical Research Council (Australia), the National Institute of Health (USA) and other national and international agencies. The overall objective of his research is to help creating methods and tools which will enable a new exciting era of personalised medicine. He is best known for his work on biomechanics of soft tissues. His current research interests include computational biomechanics for medicine and numerical methods, with applications to surgical simulation, image-guided surgery and, surprise, geomechanics. His research and teaching have been recognised by multiple awards, including the NVIDIA GPU Computing Champion Award, the Simulation Industry Association Australia Award, the Sir Charles Julius Award, the Polish Prime Minister Award, the UWA Faculty of Engineering Computing and Mathematics Teaching Award and the UWA Student Guild Choice Award.

12.2.2015 – “Workflow-based surgical automation” – Invited Talk from Thomas Neumuth – ICCAS Leipzig

12.2.2015 “Workflow-based surgical automation”
Invited Talk from Thomas Neumuth – ICCAS Leipzig


The University of Bremen Creative Unit – Intraoperative Information and Fraunhofer MEVIS hosted Prof. Thomas Neumuth from ICCAS (Innovation Center Computer Assisted Surgery) on 12 February at 13:00 in the Cartesium building (Rotunde) at the University of Bremen.


An increasing amount of technology supports the surgeon in the operating room.

Surgical workflow management is an essential method to orchestrate these various technologies for the benefit of the surgical staff.

The talk will introduce examples of workflow-supported surgical work and demonstrate visions for future applications.


Thomas Neumuth is scientific director of the ICCAS-research group “Model-based Automation and Integration” at the Leipzig University and professor at the University of Applied Sciences Leipzig. He received his PhD in medical engineering from the Leipzig University and habilitated in medical informatics.

His research topics include the modeling of processes, workflow management systems, sensor system engineering for situation-dependent information systems in the biomedical engineering.