A survey of volume visualization techniques for feature enhancement

Xu, Chaoqing; Sun, Guodao; Liang, Ronghua

doi:10.1016/j.visinf.2021.08.001

Cited by 14 publications

(4 citation statements)

References 58 publications

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“…To visualize the sample as a full 3D volume, rendering techniques like indirect volume rendering (IVR) and DVR are crucial 87–93 . IVR generates an intermediate, sharp, and opaque polygonal mesh that approximates the sample’s outer surface, while DVR directly visualizes the entire volumetric data, preserving all 3D scan-derived information and offering comprehensive insights into sample thickness, texture, and internal microarchitecture 90,91,94,95 . Enhanced by segmentation of anatomical regions of interest and virtual volume sectioning operations, DVR algorithms facilitate a detailed appreciation of complex anatomical structures and spatial relationships within biological samples.…”

Section: Resultsmentioning

confidence: 99%

The SmARTR pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data

Macrì,

Di-Poï

2024

Preprint

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SUMMARYAdvancements in non-invasive surface and internal imaging techniques, along with computational methods, have revolutionized 3D visualization of organismal morphology. These breakthroughs not only enhance research and medical anatomical analysis, but also facilitate the preservation and digital archiving of scientific specimens. We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic 3D scientific data through cinematic rendering. This versatile pipeline supports multi-scale visualizations, from tissue-level to whole-organism details across diverse living organisms and is adaptable to various imaging sources and platforms. Its modular design and customizable rendering scenarios, provided by detailed SmARTR networks in a free software environment, make it a powerful tool for 3D data analysis. Accessible to a broad audience, SmARTR serves as a valuable resource not only for multiple fields of research in life sciences but also for education, diagnosis, outreach, and artistic endeavors.

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Section: Resultsmentioning

confidence: 99%

The SmARTR pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data

Macrì,

Di-Poï

2024

Preprint

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“…Most of the above methods aim to emphasize certain features in a volume using different approaches. Xu et al [53] present a survey of feature-enhancing volume visualization techniques and propose their own approach. While they are not aiming to emphasize surfaces but rather certain voxel features, it is not directly comparable with our approach.…”

Section: Related Workmentioning

confidence: 99%

Combined volume and surface rendering with global illumination caching

et al. 2023

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We present a combined volume and surface rendering technique with global illumination caching. Our approach uses volumetric path tracing to compute the global illumination volume and local shading models for rendering the isosurface. By joining both visualization approaches, we have enhanced the display and illumination of the surfaces while preserving physically realistic illumination of the participating media. To achieve real-time performance and avoid recomputing the image when the camera view changes, we compute the global illumination volume incrementally and defer the projection to a later step. We evaluated our technique by comparing different local shading models for isosurface rendering with the result of full volumetric path tracing and with the non-caching variant of our technique. Results show that the caching and non-caching variants perform comparably well, while the caching variant has the added benefit of being camera-view-independent. Additionally, we show that our approach emphasizes the surfaces within volumes better than volumetric path tracing.

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“…For big data visualization, the designing of structures, working on multiscale variables and to visualize the whole pattern of information are still daunting tasks to perform. Multiple user datasets need special care to deal, and scalability is directly linked with the large datasets [149], [150], [151], [152], [153], [154], [155], [156].…”

Section: ) Big Data Visual Analysismentioning

confidence: 99%

“…The integration of machine learning algorithms with visualization can strengthen the feature prediction and enhance the decision-making process of visualization [132], [155], of data analytics and visualization for smart houses and build-876 ings. This facility will also be used as a data collection hub 877 for future research work.…”

Section: ) Machine Learning Visual Analysismentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

et al. 2022

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Data visualization is a powerful skill for the demonstration of meaningful data insights in an interactive and effective way. In this survey article, we collected 70 articles from last five years (2017)(2018)(2019)(2020)(2021)(2022) to identify, classify, and investigate the various scopes, aspects and theories of data visualization. We also investigated the powerful applications of data visualization in various domains and fields such as visualization apps for health sector, Internet of things (IoTs), business dashboards, urban traffic management, smart buildings and environmental data visualization. However, after thorough investigation and classification, we conclude that, a comprehensive study is still missing about interactive, effective and efficient data visualization survey explaining basic current state-of-the-art best interactive visualization techniques, webbased tools and platforms, best performance theories, data structures and algorithms. In this survey article, we perform a thorough investigation to fill the gap on theoretical, analytical, statistical models and techniques for improving the performance of visualization. Current primary and domain specific future challenges are also reviewed, and related future research directions and opportunities are recommended. 13 14 ''Interactive'' and ''Web-based'' are the most searched key-42 words during journals analysis process.43 A. TAXONOMY OF DATA VISUALIZATION ARTICLES 44 The taxonomy of data visualization is laborious task. Since, 45 several data visualization techniques, tools and platforms are 46 available to generate effective and interactive visualization. 47 However, in this survey, we classify data visualization with 48 respect to various scopes and applications where advanced 49 and interactive visualization techniques are still required to 50 make better informed decisions. In the first stage, this sur-51 vey collects 70 articles from last five years (2017-2022) 52 to identify the various scopes, aspects and application of 53 data visualization. We divide the 65 articles into 7 different 54 scopes. We also classify these articles according to their 55 domain research and approaches. The contribution of each 56 article has been highlighted and cited in the Table 1. In this 57 initial stage, this survey discusses the various aspects of 58 7 scopes. In Scope-1, the techniques to handling of various 59 types of data, graphs, colours interaction and its integration 60 are discussed. In Scope-2, the focus is on the data mining 61 networks, environment and structure. In Scope-3, the role of 62 decision-making techniques in data visualization is empha-63 sised. In Scope-4, data visualization for big data and its 64 emerging applications are analysed. Scope-5 shares the visu-65 alization competencies in data security. In Scope-6, the key 66 role of statistical analysis for visualization is explored. In the 67 final Scope-7, various applications are reviewed to check 68 the performance of visualization in specific domain. The 69 contribution of each sco...

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A survey of volume visualization techniques for feature enhancement

Cited by 14 publications

References 58 publications

The SmARTR pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data

The SmARTR pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data

Combined volume and surface rendering with global illumination caching

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

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