Virtual review of large scale image stack on 3D display

Abstract

Large scale images allow pathologists to perform reviews, using computer workstations instead of microscopes. This trend raises a wide range of issues related to the management of these massive datasets. In particular, efficient solutions for data storage and processing have to be developed in order to deliver increasingly reliable and faster analyses. In addition, the improvement of workflows also requires the reinforcement of visualization capabilities. In this paper, we present a new virtual microscopy (VM) approach for interactivetime navigation in large images stack with 3D visualization on multistereo display. Our work is based on a tool that combines 3D pyramidal representation and out-of-core data management for interactive on-demand streaming of large datasets on GPUs. The preliminary results suggest that the proposed solution facilitates the reading and the understanding of data essentially because they are spatialized.

Interactive Visualization and On-Demand Processing of Large Volume Data: A Fully GPU-Based Out-of-Core Approach

“…In order to test our GPU cache system, we developed two kinds of visualization applications and a processing stage. The first is a 2D rendering virtual microscope with a navigation through an image stack [28] that provides easy access to high-resolution images. The second is a GPU-based volume ray casting [5].…”

“…It reaches 3840 × 2160 × 4 × 4 ≈ 133 MB for a 4K viewport with the same configuration. These values may have to be multiplied by N in a context of visualization with N views (stereo or multiscopic) [28]. For instance, a 4K screen with 11 views it represents 133 × 11 ≈ 1.4 GB.…”

Simulating Depth Perception in Virtual Microscopy

“…The proposed system fully runs on GPUs [15] and is composed of the virtual microscope and the out-of-core data management. The whole pipeline is called visualization-driven.…”