Free Trial

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

  • Create BookmarkCreate Bookmark
  • Create Note or TagCreate Note or Tag
  • PrintPrint
Share this Page URL
Help

Chapter 7. Case Study: Data Decomposition > A Medical Imaging Data Examiner

7.1. A Medical Imaging Data Examiner

A Medical Imaging Data Examiner (AMIDE) [1] is an open source tool that provides visualization of medical data. The tool takes as input a variety of raw image data files and supports viewing of the data and a number of visual processing transformations. One key function, volumetric rendering, translates three-dimensional data to two dimensions for viewing in real time. To accomplish the volumetric transformations, AMIDE relies upon a software library called VolPack [2]. Both AMIDE and VolPack are written in C and total approximately 250,000 lines of source code. This case study focuses on improving the performance of the volume rendering feature of AMIDE.

The input data set is comprised of two different types of scans of a mouse in several positions [3]. The volumetric rendering is performed by mapping the visibility of three-dimensional data onto a two-dimensional plane when viewed from a particular angle using traditional ray tracing techniques. VolPack employs a shear warp transformation on the data set that allows efficient object-order transformation [4]. Figure 7.1 is a screenshot of the volumetric rendering window under AMIDE employing the input data set.


  

You are currently reading a PREVIEW of this book.

                                                                                                                    

Get instant access to over $1 million worth of books and videos.

  

Start a Free Trial


  
  • Safari Books Online
  • Create BookmarkCreate Bookmark
  • Create Note or TagCreate Note or Tag
  • PrintPrint