3D PHOVIS

3D PHOVIS processes and visualizes three-dimensional photoacoustic (PA) imaging datasets to support analysis of volumetric biomedical imaging data.

Key Features:

• Photoacoustic Data Visualization: Provides specialized modules for processing and visualizing three-dimensional photoacoustic imaging datasets.
• MATLAB-Based Implementation: Implements computational modules within the MATLAB environment for image processing and visualization.
• GPU-Accelerated Computation: Uses multi-core graphics processing unit modules to accelerate processing and enable rapid analysis of large PA datasets.
• Mosaic Volume Generator: Assembles large volumetric datasets from tiled image acquisitions.
• Scan Conversion for Optical Scanning Photoacoustic Microscopy: Performs scan conversion optimized for optical scanning photoacoustic microscopy data.
• Skin Profile Estimation and Depth Encoding: Estimates skin layer profiles and encodes depth information in PA imaging datasets.
• Multiplanar Visualization: Enables exploration of volumetric datasets using a multiplanar viewer with navigation mapping.
• Volume Rendering: Generates volumetric renderings and animated visualizations of photoacoustic imaging datasets.
• Cross-Modality Data Support: Supports visualization of datasets from additional imaging modalities including ultrasound imaging and optical coherence tomography (OCT).

Scientific Applications:

• Photoacoustic Imaging Analysis: Enables visualization and analysis of volumetric photoacoustic imaging datasets.
• Biomedical Imaging Research: Supports morphological, functional, and molecular imaging studies using PA data.
• Multimodal Imaging Studies: Facilitates comparative visualization of datasets from photoacoustic imaging, ultrasound imaging, and optical coherence tomography.

Methodology:

The software processes photoacoustic imaging datasets using MATLAB-based algorithms with GPU-accelerated modules for mosaic volume generation, scan conversion for optical scanning photoacoustic microscopy, skin profile estimation with depth encoding, multiplanar visualization, and volume rendering of volumetric data.