Erwan Kerrien

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This paper presents a method for real-time augmentation of vascular network and tumors during minimally invasive liver surgery. Internal structures computed from pre-operative CT scans can be overlaid onto the laparoscopic view for surgery guidance. Compared to state-of-the-art methods, our method uses a real-time biomechanical model to compute a volumetric(More)
In this paper<sup>1</sup>, a framework to acquire and process dynamic data of the tongue during speech processing is presented. First, a setup to acquire data of the tongue shape combining ultrasound images, electromagnetic localization sensors and sound is presented. Techniques to automatically calibrate and synchronize the data are described. A method to(More)
PURPOSE To evaluate three-dimensional (3D) digital subtraction angiography (DSA) as a supplement to two-dimensional (2D) DSA in the endovascular treatment (EVT) of intracranial aneurysms. MATERIALS AND METHODS In 22 ruptured aneurysms, neck visualization, aneurysm shape, and EVT feasibility were analyzed at 2D DSA (anteroposterior, lateral, and rotational(More)
Coil embolization offers a new approach to treat aneurysms. This medical procedure is namely less invasive than an open-surgery as it relies on the deployment of very thin platinum-based wires within the aneurysm through the arteries. When performed intracranially, this procedure must be particularly accurate and therefore carefully planned and performed by(More)
Many vascular pathologies can now be treated in a minimally invasive way thanks to interventional radiology. Instead of open surgery, it allows to reach the lesion of the arteries with therapeutic devices through a catheter. As a particular case, intracranial aneurysms are treated by filling the localized widening of the artery with a set of coils to(More)
This paper describes a new method for coupling ultrasound images with tree-dimensional electromagnetic data, to recover larger parts of the tongue during speech production. The electromagnetic data is superimposed on ultrasound images after spatial and temporal calibration. Successful fusion results are presented on various speech sequences. A complete(More)
Data fusion from multiple sensors is of significant interest to the speech research community, as it can potentially provide a better picture of speech production through the use of complementary sensor modalities. This paper deals with the practical aspects of this problem, such as acquisition and processing of the dynamic ultrasound (US) and(More)
This paper deals with the modeling of a vascular C-arm to generate 3D augmented fluoroscopic images in an interventional radiology context. A methodology based on the use of a multi-image calibration is proposed to assess the physical behavior of the C-arm. From the knowledge of the main characteristics of the C-arm, realistic models of the acquisition(More)
This paper reports work in progress on X-ray angiography acquired under stereotactic conditions. The objective is to be able to match multimodality images (typically MRI and X-ray) without a stereotactic frame but with stereotactic precision. We have identified potential problems and have studied them in detail. We conclude that, although the overall(More)
This paper presents a method for real-time augmented reality of internal liver structures during minimally invasive hepatic surgery. Vessels and tumors computed from pre-operative CT scans can be overlaid onto the laparoscopic view for surgery guidance. Compared to current methods, our method is able to locate the in-depth positions of the tumors based on(More)