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Set of Methods for Spontaneous ICH Segmentation and Tracking from CT Head Images

  • Noel Pérez
  • José A. Valdés
  • Miguel A. Guevara
  • Luis A. Rodríguez
  • J. M. Molina
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)

Abstract

Spontaneous intracerebral hemorrhage (ICH) is a common cause of stroke, due to this; the early evolution and quantitative analysis of the ICH is important for the treatment and the course of patient’s recovery. Computer-based diagnosis systems have played an important role in quantitative analysis of medical images aiding medical personnel in selecting the appropriated treatment of diseases. This paper outlines a set of three methods for ICH segmentation and tracking from computer tomography (CT) head images, based on a suitable combination of digital image processing and pattern recognition techniques. Two of these methods are carried out in a semiautomatic way and the other one is performed in a manual way. Methods developed were tested successfully by medical researchers in a representative dataset of CT head images (patient studies).

Keywords

Intracerebral hemorrhage medical images analysis 3D mathematic morphology segmentation and tracking deformable models 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Noel Pérez
    • 1
  • José A. Valdés
    • 1
  • Miguel A. Guevara
    • 1
  • Luis A. Rodríguez
    • 2
  • J. M. Molina
    • 1
  1. 1.Center for Advanced Computer Sciences Technologies, Ciego de Ávila University,Ciego de ÁvilaCuba
  2. 2.Intensive Care Unit, Morón Hospital, Ciego de ÁvilaCuba

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