Information theory based medical images processing

• Autorzy: Kuczyński, K. , Mikołajczak, P.
• Konferencja: The Fourth Scientific Symposium on Image Processing Technology. TPO 2002 ; (21.11-23.11.2002 ; Serock, Poland)
• Języki publikacji: EN

Abstrakty

EN

Increasing application of non-invasive medical techniques (like stereotactic radiosurgery) generates a high demand for modern image processing algorithms. Image registration and segmentation are the two essential examples of this. The algorithms need to be reasonably fast, reliable, accurate, and highly automated. Information theory provides a means to create such systems. In this paper we present thresholding segmentation using image entropy and a registration technique based on maximization of mutual information. Then we show some experimental results using real-world computed tomography (CT) and medical resonance imaging (MRI) data.

Słowa kluczowe

EN

image segmentation; image registration; entropy; mutual information

• Czasopismo: Opto-Electronics Review
• Rocznik: 2003
• Tom: Vol. 11, No. 3
• Strony: 253-259
• Opis fizyczny: Bibliogr. 16 poz., fot., rys., tab., wykr.

Twórcy

autor

Kuczyński, K.

• Laboratory of Information Technology, University of Maria Curie-Skłodowska, 5 Curie-Skłodowskiej Sg., 20-031 Lublin, Poland,

autor

Mikołajczak, P.

• Laboratory of Information Technology, University of Maria Curie-Skłodowska, 5 Curie-Skłodowskiej Sg., 20-031 Lublin, Poland

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