[POSTER] Augmenting Mobile C-arm Fluoroscopes via Stereo-RGBD Sensors for Multimodal Visualization

2015 ◽  
Author(s):  
Severine Habert ◽  
Ma Meng ◽  
Wadim Kehl ◽  
Xiang Wang ◽  
Federico Tombari ◽  
...  
Keyword(s):  
Multimodal Visualization

Multimodal Visualization of Small Bowel Granulomatosis With Polyangiitis

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jasleen K. Grewal ◽  
Armine Baltayan ◽  
Thomas O. G. Kovacs
Keyword(s):  
Small Bowel ◽  
Granulomatosis With Polyangiitis ◽  
Multimodal Visualization

scholarly journals Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods

2009 ◽  
pp. 6-10 ◽  
Author(s):  
Silvia Born ◽  
Werner Jainek ◽  
Mario Hlawitschka ◽  
Gerik Scheuermann ◽  
Christos Trantakis ◽  
...  
Keyword(s):  
Fmri Data ◽  
Multimodal Visualization

O80. Multimodal visualization of craniofacial, skull base infiltrating tumors

2009 ◽  
Vol 3 (1) ◽  
pp. 83
Author(s):  
C. Kober ◽  
B.-I. Berg ◽  
P. Juergens ◽  
H.-F. Zeilhofer ◽  
S. Zimmerer ◽  
...  
Keyword(s):  
Skull Base ◽  
Multimodal Visualization

scholarly journals Nanoprobes for Multimodal Visualization of Bone Mineral Phase in Magnetic Resonance and Near-Infrared Optical Imaging

ACS Omega ◽  
2016 ◽  
Vol 1 (2) ◽  
pp. 182-192 ◽  
Author(s):  
Pradeep P. Wyss ◽  
Laura C. Herrera ◽  
Nel S. Bouteghmes ◽  
Melika Sarem ◽  
Wilfried Reichardt ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Optical Imaging ◽  
Bone Mineral ◽  
Near Infrared ◽  
Mineral Phase ◽  
Multimodal Visualization

P0798 MULTIMODAL VISUALIZATION OF A BRONCHIAL ARTERY ANEURYSM WITH RARE ORIGIN FROM THE DISTAL DESCENDING AORTA

2009 ◽  
Vol 20 ◽  
pp. S260
Author(s):  
Lars Kamper ◽  
Nadine Abanador-Kamper ◽  
Jan Smettan ◽  
Werner Piroth ◽  
Georg Haltern ◽  
...  
Keyword(s):  
Bronchial Artery ◽  
Artery Aneurysm ◽  
Descending Aorta ◽  
Bronchial Artery Aneurysm ◽  
Multimodal Visualization

scholarly journals From 2D Images to 3D Tangible Models: Autostereoscopic and Haptic Visualization of Martian Rocks in Virtual Environments

2007 ◽  
Vol 16 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Cagatay Basdogan
Keyword(s):  
3D Reconstruction ◽  
3D Models ◽  
Rock Surface ◽  
Surface Model ◽  
Stereo Images ◽  
Martian Surface ◽  
Reconstruction Process ◽  
Low Transmission ◽  
2D Images ◽  
Multimodal Visualization

A planetary rover acquires a large collection of images while exploring its surrounding environment. For example, 2D stereo images of the Martian surface captured by the lander and the Sojourner rover during the Mars Pathfinder mission in 1997 were transmitted to Earth for scientific analysis and navigation planning. Due to the limited memory and computational power of the Sojourner rover, most of the images were captured by the lander and then transmitted to Earth directly for processing. If these images were merged together at the rover site to reconstruct a 3D representation of the rover's environment using its on-board resources, more information could potentially be transmitted to Earth in a compact manner. However, construction of a 3D model from multiple views is a highly challenging task to accomplish even for the new generation rovers (Spirit and Opportunity) running on the Mars surface at the time this article was written. Moreover, low transmission rates and communication intervals between Earth and Mars make the transmission of any data more difficult. We propose a robust and computationally efficient method for progressive transmission of multi-resolution 3D models of Martian rocks and soil reconstructed from a series of stereo images. For visualization of these models on Earth, we have developed a new multimodal visualization setup that integrates vision and touch. Our scheme for 3D reconstruction of Martian rocks from 2D images for visualization on Earth involves four main steps: a) acquisition of scans: depth maps are generated from stereo images, b) integration of scans: the scans are correctly positioned and oriented with respect to each other and fused to construct a 3D volumetric representation of the rocks using an octree, c) transmission: the volumetric data is encoded and progressively transmitted to Earth, d) visualization: a surface model is reconstructed from the transmitted data on Earth and displayed to a user through a new autostereoscopic visualization table and a haptic device for providing touch feedback. To test the practical utility of our approach, we first captured a sequence of stereo images of a rock surface from various viewpoints in JPL MarsYard using a mobile cart and then performed a series of 3D reconstruction experiments. In this paper, we discuss the steps of our reconstruction process, our multimodal visualization system, and the tradeoffs that have to be made to transmit multiresolution 3D models to Earth in an efficient manner under the constraints of limited computational resources, low transmission rate, and communication interval between Earth and Mars.

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