Search Results for author: Javad Fotouhi

Found 14 papers, 2 papers with code

From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching

no code implementations5 Mar 2020 Javad Fotouhi, Xingtong Liu, Mehran Armand, Nassir Navab, Mathias Unberath

Stitching images acquired under perspective projective geometry is a relevant topic in computer vision with multiple applications ranging from smartphone panoramas to the construction of digital maps.

Image Stitching

Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy

no code implementations4 Mar 2020 Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab

Suboptimal interaction with patient data and challenges in mastering 3D anatomy based on ill-posed 2D interventional images are essential concerns in image-guided therapies.

On the Effectiveness of Virtual Reality-based Training for Robotic Setup

no code implementations3 Mar 2020 Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst

We trained 30 participants on how to set up a robotic arm in an environment mimicking clinical setup.

Robotics

A Comparative Analysis of Virtual Reality Head-Mounted Display Systems

no code implementations5 Dec 2019 Arian Mehrfard, Javad Fotouhi, Giacomo Taylor, Tess Forster, Nassir Navab, Bernhard Fuerst

With recent advances of Virtual Reality (VR) technology, the deployment of such will dramatically increase in non-entertainment environments, such as professional education and training, manufacturing, service, or low frequency/high risk scenarios.

Virtual Reality

Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics

no code implementations23 Jul 2019 Javad Fotouhi, Tianyu Song, Arian Mehrfard, Giacomo Taylor, Qiaochu Wang, Fengfang Xian, Alejandro Martin-Gomez, Bernhard Fuerst, Mehran Armand, Mathias Unberath, Nassir Navab

To overcome this challenge, we introduce a novel registration concept for intuitive alignment of AR content to its physical counterpart by providing a multi-view AR experience via reflective-AR displays that simultaneously show the augmentations from multiple viewpoints.

Augmented Reality-based Feedback for Technician-in-the-loop C-arm Repositioning

no code implementations22 Jun 2018 Mathias Unberath, Javad Fotouhi, Jonas Hajek, Andreas Maier, Greg Osgood, Russell Taylor, Mehran Armand, Nassir Navab

For C-arm repositioning to a particular target view, the recorded C-arm pose is restored as a virtual object and visualized in an AR environment, serving as a perceptual reference for the technician.

Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions

no code implementations9 Apr 2018 Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor, Greg M. Osgood, M. D., Mehran Armand, Nassir Navab

The main challenge is to automatically estimate the desired plane of symmetry within the patient's pre-operative CT. We propose to estimate this plane using a non-linear optimization strategy, by minimizing Tukey's biweight robust estimator, relying on the partial symmetry of the anatomy.

Image Augmentation

DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures

2 code implementations22 Mar 2018 Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab

Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology.

Domain Adaptation

Plan in 2D, execute in 3D: An augmented reality solution for cup placement in total hip arthroplasty

no code implementations4 Jan 2018 Javad Fotouhi, Clayton P. Alexander, Mathias Unberath, Giacomo Taylor, Sing Chun Lee, Bernhard Fuerst, Alex Johnson, Greg Osgood, Russell H. Taylor, Harpal Khanuja, Mehran Armand, Nassir Navab

Reproducibly achieving proper implant alignment is a critical step in total hip arthroplasty (THA) procedures that has been shown to substantially affect patient outcome.

X-ray In-Depth Decomposition: Revealing The Latent Structures

no code implementations19 Dec 2016 Shadi Albarqouni, Javad Fotouhi, Nassir Navab

X-ray radiography is the most readily available imaging modality and has a broad range of applications that spans from diagnosis to intra-operative guidance in cardiac, orthopedics, and trauma procedures.

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