Volume Exploration Using Multidimensional Bhattacharyya Flow
| Autor: | Allen Tannenbaum, Mahsa Torkaman, Saad Nadeem, Shreeraj Jadhav, Arie E. Kaufman |
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| Rok vydání: | 2023 |
| Předmět: |
Computer science
Volume (computing) Process (computing) computer.software_genre Computer Graphics and Computer-Aided Design Synthetic data Personalization Workflow Signal Processing Bhattacharyya distance Segmentation Computer Vision and Pattern Recognition Data mining Noise (video) computer Software |
| Zdroj: | IEEE transactions on visualization and computer graphics. |
| ISSN: | 1941-0506 |
| Popis: | We present a novel approach for volume exploration that is versatile yet effective in isolating semantic structures in both noisy and clean data. Specifically, we describe a hierarchical active contours approach based on Bhattacharyya gradient flow which is easier to control, robust to noise, and can incorporate various types of statistical information to drive an edge-agnostic exploration process. To facilitate a time-bound user-driven volume exploration process that is applicable to a wide variety of data sources, we present an efficient multi-GPU implementation that (1) is approximately 400 times faster than a single thread CPU implementation, (2) allows hierarchical exploration of 2D and 3D images, (3) supports customization through multidimensional attribute spaces, and (4) is applicable to a variety of data sources and semantic structures. The exploration system follows a 2-step process. It first applies active contours to isolate semantically meaningful subsets of the volume. It then applies transfer functions to the isolated regions locally to produce clear and clutter-free visualizations. We show the effectiveness of our approach in isolating and visualizing structures-of-interest without needing any specialized segmentation methods on a variety of data sources, including 3D optical microscopy, multi-channel optical volumes, abdominal and chest CT, micro-CT, MRI, simulation, and synthetic data. We also gathered feedback from a medical trainee regarding the usefulness of our approach and discussion on potential applications in clinical workflows. |
| Databáze: | OpenAIRE |
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