@inbook{d59a267b48754670b856c01c281833c5,
title = "Posterior cruciate ligament - 3D visualization",
abstract = "This paper shows a method which in the first step realizes an automatic registration of the Tl- and T2-weighted MR knee images, in the second step locates the posterior cruciate ligament (PCL) on the Tl-weighted MR knee images and in the third step permits 3D visualization of the PCL structures. The automatic registration process of the Tl- and T2-weighted MR knee images is based on the entropy (or energy) measures of fuzziness. A method of location of PCL on Tl-weighted MR knee images has been designed on the basis of both entropy (or energy) measure of fuzziness and fuzzy C-means (FCM) algorithm with median modification. The 3D visualization of the PCL structures procedure, which used registration and location steps, has been implemented in MatLab and converted to Visualization Toolkit (VTK).",
author = "Piotr Zarychta",
year = "2007",
doi = "10.1007/978-3-540-75175-5\_87",
language = "English",
isbn = "9783540751748",
series = "Advances in Soft Computing",
pages = "695--702",
editor = "Marek Kurzynski and Michal Wozniak and Andrzej Zolnierek and Edward Puchala",
booktitle = "Computer Recognition Systems 2",
}