
  Section of Biomedical Image Analysis
  Department of Radiology
  University of Pennsylvania
  3600 Market Street, Suite 380
  Philadelphia, PA 19104

  Web:   http://www.rad.upenn.edu/sbia/
  Email: sbia-software at uphs.upenn.edu

  Copyright (c) 2012, 2013 University of Pennsylvania.



INTRODUCTION
============

  This software implements a method for deformable registration of diffusion
  tensor (DT) images (DROID) [1,2,3] that integrates geometry and orientation
  features into a hierarchical matching framework. The geometric feature is
  derived from the structural geometry of diffusion and characterizes the shape
  of the tensor in terms of prolateness, oblateness, and sphericity of the
  tensor. Local spatial distributions of the prolate, oblate, and spherical
  geometry are used to create an attribute vector of geometric feature for
  matching. The orientation feature improves the matching of the WM fiber tracts
  by taking into account the statistical information of underlying fiber
  orientations. These features are incorporated into a hierarchical deformable
  registration framework to develop a diffusion tensor image registration
  algorithm. Extensive experiments on simulated and real brain DT data establish
  the superiority of this algorithm for deformable matching of diffusion
  tensors, thereby aiding in atlas creation. The robustness of the method makes
  it potentially useful for group-based analysis of DT images acquired in large
  studies to identify disease-induced and developmental changes.



PACKAGE OVERVIEW
================

  Source Package
  --------------

  - BasisProject.cmake   Meta-data used by BASIS to configure the project.
  - CMakeLists.txt       Root CMake configuration file.
  - config/              Package configuration files.
  - include/             Public header files of libraries.
  - src/                 Source code files.

  - AUTHORS.txt          A list of the people who contributed to this software.
  - COPYING.txt          The copyright and license notices.
  - INSTALL.txt          Build and installation instructions.
  - README.txt           This readme file.


  Binary Package
  --------------

  Please refer to the INSTALL file for details on where the built executables
  and libraries, the auxiliary data, and the documentation files are installed.



LICENSING
=========

  DTI-DROID is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.

  DTI-DROID is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.

  You should have received a copy of the GNU General Public License
  along with DTI-DROID.  If not, see <http://www.gnu.org/licenses/>.



INSTALLATION
============

  See build and installation instructions given in the INSTALL file.



DOCUMENTATION
=============

  The main command of this package is named dtidroid. Please see the help
  output of this command for usage information, i.e., run the command

  $ dtidroid --help

  in a terminal/shell after the successful installation of the software.



REFERENCES
==========

  [1] J. Yang, D. Shen, C. Misra, X. Wu, S. Resnick, C. Davatzikos, and R. Verma,
      Spatial Normalization of Diffusion Tensor Images Based on Anisotropic
      Segmentation, SPIE Medical Imaging 2008, San Diego, Feb 2008.

  [2] J. Yang, D. Shen, C. Davatzikos, and R. Verma, Diffusion tensor image
      registration using tensor geometry and orientation features,
      Proceedings of MICCAI, 2008, pp. 905–913.

  [3] M. Ingalhalikar, J. Yang, C. Davatzikos, and R. Verma,
      DTI-DROID: Diffusion Tensor Imaging-Deformable Registration using
      Orientation and Intensity Descriptors, International Journal of Imaging
      Systems and Technology, 99-107, Vol. 20, No. 2, 2010
