Augmented depth perception visualization in 2D/3D image fusion

Wang, Jian; Kreiser, Matthias; Wang, Lejing; Navab, Nassir; Fallavollita, Pascal

doi:10.1016/j.compmedimag.2014.06.015

Cited by 14 publications

(5 citation statements)

References 15 publications

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“…Moreover, a two-dimensional (2D) view on a flat-screen may cause confusion in the depth perception than the direct view [40,41]. Fazlyyyakhmatov et al [42] assessed cortical activity in the process of depth perception of 2D images.…”

Section: Discussionmentioning

confidence: 99%

Different classes of videoscopes and direct laryngoscopes for double-lumen tube intubation in thoracic surgery: A systematic review and network meta-analysis

et al. 2020

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Background Double-lumen tube is commonly used in thoracic surgeries that need one-lung ventilation, but its big size and stiff structure make it harder to perform intubation than a conventional tracheal intubation tube. Objectives To investigate the effectiveness and safety of videoscopes for double-lumen tube insertion. The primary outcome was the success rate of first attempt intubation. Secondary outcomes were intubation time, malposition, oral mucosal damage, sore throat, and external manipulation. Design Systematic review and network meta-analysis Data sources Databases (Pubmed, Embase, Cochrane, Kmbase, Web of science, Scopus) up to June 23, 2020 were searched. Eligibility Randomized controlled trials comparing different videoscopes for double-lumen tube intubation were included in this study. Methods We classified and lumped the videoscope devices into the following groups: standard (nonchanneled) videolaryngoscope, channeled videolaryngoscope, videostylet, and direct laryngoscope. After assessing the quality of evidence, we statistically analyzed and chose the

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Section: Discussionmentioning

confidence: 99%

Different classes of videoscopes and direct laryngoscopes for double-lumen tube intubation in thoracic surgery: A systematic review and network meta-analysis

et al. 2020

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“…Chroma-depth rendering is a technique initially developed by Richard Steenblik[ 67 ] and where depth (distance from the camera) is encoded with color. Chroma-depth and its 2-color variant (pseudo chroma-depth) have been used in various medical image visualization problems [ 22 , 23 ] and have been shown to improve depth perception in the visualization of certain medical image types such as angiographic scans [ 25 ]. A similar technique, aerial perspective, represents objects that are more distant as fainter and less contrasted.…”

Section: Resultsmentioning

confidence: 99%

PRISM: An open source framework for the interactive design of GPU volume rendering shaders

Drouin

Collins

2018

PLoS ONE

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Direct volume rendering has become an essential tool to explore and analyse 3D medical images. Despite several advances in the field, it remains a challenge to produce an image that highlights the anatomy of interest, avoids occlusion of important structures, provides an intuitive perception of shape and depth while retaining sufficient contextual information. Although the computer graphics community has proposed several solutions to address specific visualization problems, the medical imaging community still lacks a general volume rendering implementation that can address a wide variety of visualization use cases while avoiding complexity. In this paper, we propose a new open source framework called the Programmable Ray Integration Shading Model, or PRISM, that implements a complete GPU ray-casting solution where critical parts of the ray integration algorithm can be replaced to produce new volume rendering effects. A graphical user interface allows clinical users to easily experiment with pre-existing rendering effect building blocks drawn from an open database. For programmers, the interface enables real-time editing of the code inside the blocks. We show that in its default mode, the PRISM framework produces images very similar to those produced by a widely-adopted direct volume rendering implementation in VTK at comparable frame rates. More importantly, we demonstrate the flexibility of the framework by showing how several volume rendering techniques can be implemented in PRISM with no more than a few lines of code. Finally, we demonstrate the simplicity of our system in a usability study with 5 medical imaging expert subjects who have none or little experience with volume rendering. The PRISM framework has the potential to greatly accelerate development of volume rendering for medical applications by promoting sharing and enabling faster development iterations and easier collaboration between engineers and clinical personnel.

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“…Since years, multiple independent research groups try to improve current IF visualization [13] and introduce more advanced guidance techniques, such as e.g., automatic crossmodal image registration [14][15][16][17][18], image-based tracking [14,19], automatic compensation of heartbeat and respiratory motion [20][21][22] to overcome these specific issues. To introduce these techniques into a product functionality is, however, not easy due to a proprietary character of commercial XR systems.…”

Section: Introductionmentioning

confidence: 99%

3D-XGuide: open-source X-ray navigation guidance system

et al. 2020

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Purpose With the growing availability and variety of imaging modalities, new methods of intraoperative support have become available for all kinds of interventions. The basic principles of image fusion and image guidance have been widely adopted and are commercialized through a number of platforms. Although multimodal systems have been found to be useful for guiding interventional procedures, they all have their limitations. The integration of more advanced guidance techniques into the product functionality is, however, not easy due to the proprietary solutions of the vendors. Therefore, the purpose of this work is to introduce a software system for image fusion, real-time navigation, and working points documentation during transcatheter interventions performed under X-ray (XR) guidance. Methods An interactive software system for cross-modal registration and image fusion of XR fluoroscopy with CT or MRI-derived anatomic 3D models is implemented using Qt application framework and VTK visualization pipeline. DICOM data can be imported in retrospective mode. Live XR data input is realized by a video capture card application interface. Results The actual software release offers a graphical user interface with basic functionality including data import and handling, calculation of projection geometry and transformations between related coordinate systems, rigid 3D-3D registration, and template matching-based tracking and motion compensation algorithms in 2D and 3D. The link to the actual software release on GitHub including source code and executable is provided to support independent research and development in the field of intervention guidance. Conclusion The introduced system provides a common foundation for the rapid prototyping of new approaches in the field of XR fluoroscopic guidance. As a pure software solution, the developed system is potentially vendor-independent and can be easily extended to be used with the XR systems of different manufacturers.

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Augmented depth perception visualization in 2D/3D image fusion

Cited by 14 publications

References 15 publications

Different classes of videoscopes and direct laryngoscopes for double-lumen tube intubation in thoracic surgery: A systematic review and network meta-analysis

Different classes of videoscopes and direct laryngoscopes for double-lumen tube intubation in thoracic surgery: A systematic review and network meta-analysis

PRISM: An open source framework for the interactive design of GPU volume rendering shaders

3D-XGuide: open-source X-ray navigation guidance system

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