The low-cost and minimum health risks associated with ultrasound (US) have made ultrasonic imaging a widely
accepted method to perform diagnostic and image-guided procedures. Despite the existence of 3D ultrasound probes,
most analysis and diagnostic procedures are done by studying the B-mode images. Currently, multiple ultrasound
probes include 6-DOF sensors that can provide positioning information. Such tracking information can be used to
reconstruct a 3D volume from a set of 2D US images. Recent advances in ultrasound imaging have also shown that,
directly from the streaming radio frequency (RF) data, it is possible to obtain additional information of the anatomical
region under consideration including the elasticity properties.
This paper presents a generic framework that takes advantage of current graphics hardware to create a low-latency
system to visualize streaming US data while combining multiple tissue attributes into a single illustration. In particular,
we introduce a framework that enables real-time reconstruction and interactive visualization of streaming data while
enhancing the illustration with elasticity information. The visualization module uses two-dimensional transfer functions
(2D TFs) to more effectively fuse and map B-mode and strain values into specific opacity and color values. On
commodity hardware, our framework can simultaneously reconstruct, render, and provide user interaction at over 15
fps. Results with phantom and real-world medical datasets show the advantages and effectiveness of our technique with
ultrasound data. In particular, our results show how two-dimensional transfer functions can be used to more effectively
identify, analyze and visualize lesions in ultrasound images.