Category Archives: News

CAMP’s Article Highlighted by the Medical Physics Journal

We are happy to announce that CAMP’s article entitled “Automatic intraoperative stitching of nonoverlapping cone‐beam CT acquisitions” has been selected as the Editors’ Choice paper by the Medical Physics Journal for the June 2018 issue. The manuscript has also been granted free-to-read access.

Congratulations to all the authors:
Javad Fotouhi , Bernhard Fuerst , Mathias Unberath , Stefan Reichenstein , Sing Chun Lee, Alex Johnson, Greg M. Osgood, Mehran Armand , and Nassir Navab

5 Papers at MICCAI 2018!

We are delighted to announce that all our 5 manuscripts submitted to MICCAI 2018 were accepted for presentation (3 early accepts)!

Pre-prints of our papers are available from arXiv and videos are available from this link (* starred authors are considered joint first):

M. Unberath*, J.-N. Zaech*, S. C. Lee, B. Bier, J. Fotouhi, M. Armand,
N. Navab. “DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures”. (early accept, poster)

J. Fotouhi*, M. Unberath*, G. Taylor*, A. G. Farashahi, B. Bier, R. Taylor,
G. Osgood, M. Armand, N. Navab. “Exploiting Partial Structural Symmetry for Patient-Speci c Image Augmentation in Trauma Interventions. (early accept, poster)

B. Bier*, M. Unberath*, J.-N. Zaech, J. Fotouhi, M. Armand, G. Osgood,
N. Navab, A. Maier. “X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery”. (early accept, oral)

A. Preuhs, A. Maier, M. Manhart, J. Fotouhi, N. Navab, M. Unberath.
“Double Your Views – Expoiting Symmetry in Transmission Imaging”. (poster)

.J. Hajek*, M. Unberath*, J. Fotouhi*, B. Bier, S. C. Lee, G. Osgood, A. Maier, M. Armand, N. Navab. “Closing the Calibration Loop: An Inside-out Tracking Paradigm for Augmented Reality in Orthopedic Surgery”. (spotlight)

IEEE NSS/MIC Best Paper Award (Second Place) and Trainee Grant

Our contribution “Deep Learning-based Inpainting for Virtual DSA” by Mathias Unberath et al. was among the winners (second place) of the Best Student Paper Award at the 2017 IEEE Nuclear Sciences Symposium and Medical Imaging Conference (NSS/MIC).
In addition, Mathias Unberath was awarded an IEEE NSS/MIC Trainee Grant.

Mathias Unberath et al. “Deep Learning-based Inpainting for Virtual DSA” IEEE Nuclear Sciences Symposium and Medical Imaging Conference Record (2017).

A full-paper and a poster were presented at the IEEE ISMAR’17!

Two of our projects (a full-paper and a poster) were recently presented at the 17th IEEE International Symposium on Mixed and Augmented Reality (ISMAR’17).

Congratulations!


Empirical Study of Non-Reversing Magic Mirrors for Augmented Reality Anatomy Learning

Felix Bork, Roghayeh Barmaki, Ulrich Eck, Kevin Yu, Christian and Nassir Navab

Mixed Reality Support for Orthopaedics Surgery
Sing Chun Lee, Bernhard Fuerst, Javad Fotouhi, Alex Johnson, Keisuke Tateno, Federico Tombari, Greg Osgood and Nassir Navab

 

Two orals at SPIE Medical Imaging 2018.

We are happy to announce that two papers were accepted as oral presentations to the upcoming SPIE Medical Imaging conference.
Congratulations!

K. Yu*, R. Barmaki*, M. Unberath*, A. Mears, J. Brey, T. H. Chung, N. Navab. On the Accuracy of Low-cost Motion Capture Systems for Range of Motion Measurements.
* These authors contributed equally.

E. Tucker, J. Fotouhi, S. C. Lee, M. Unberath, B. Fuerst, A. Johnson, M. Armand, G. Osgood, N. Navab. Towards Clinical Translation of Augmented Orthopedic Surgery: From Pre-op CT to Intra-op X-ray via RGBD Sensing.

Outstanding Paper Award at MICCAI Workshop AE-CAI

We are happy to announce that Sing Chun Lee et al. received the Outstanding Paper Award of the 11th MICCAI Workshop on Augmented Environments for Computer Assisted Interventions for their contribution ”Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery”.

Congratulations to all authors!

Lee, S. C., Fuerst, B., Tateno, K., Johnson, A., Fotouhi, J., Osgood, G., … & Navab, N. (2017). Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery. Healthcare Technology Letters.

Four papers accepted to IPCAI 2017

Our group received notice that four IPCAI papers have been accepted! Thanks and congratulations to the authors!

J. Fotouhi, B. Fuerst, W. Wein, N. Navab
Can real-time RGBD enhance intraoperative Cone-Beam CT?
International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2017

J. Fotouhi, B. Fuerst, A. Johnson, S.C. Lee, R. Taylor, G. Osgood, N. Navab, M. Armand
Pose-Aware C-Arm for Automatic Re-Initialization of Interventional 2D/3D Image Registration
International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2017

R. Kojcev, A. Khakzar, B. Fuerst, O. Zettinig, C. Fahkry, R. DeJong, J. Richmon, R. Taylor, E. Sinibaldi, N. Navab
On the reproducibility of expert-operated and robotic ultrasound acquisitions
International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2017

L. Qian, A. Barthel, A. Johnson, G. Osgood, P. Kazanzides, N. Navab, B. Fuerst
Comparison of optical see-through head-mounted displays or surgical interventions with object-anchored 2D-display
International Journal of Computer Assisted Radiology and Surgery / International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2017

Funding decision of the JHU-Coulter

The Johns Hopkins-Coulter Translational Partnership Oversight Committee has selected our project, “Augmented Reality for Orthopedic and Trauma Surgeries,” for the full funding requested.  The OC stated it was very impressed with the high level of presentations.  For our project, the technical development, market potential and potential benefit to patients, as well as the chance of commercialization success were considered exceptionally strong and justified full project funding.

coulter setup

The most difficult procedures during orthopedic and trauma surgeries is the placement of screws to repair complex fractures. Using a vast amount of X-ray images (we have observed surgeries with up to 246 images) the surgeon needs to drill a guide wire through the bone fragments. The difficulty is further increased by muscle and other tissue covering the bones (e.g. for pelvis).

Our system comprises a traditional X-ray machine (C-arm), a 3D camera mounted on this X-ray machine, and generally available 3D Computed Tomography (CT) images to guide the surgeon. Rather than seeing simple 2D X-ray images, our system shows the surgeon a 3D view of the bones, the drill, the patient surface and even the surgeon’s hands in real-time. This “Superman”- view, referred to Interventional 3D Augmented Reality, was shown to reduce duration, radiation dose, number of X-ray images, and complications in our pre-clinical experiments. In summary, our system increases patient safety and represents the future of interventional X-ray imaging.