Hierarchical finite state vector quantization for MRI and BT image compression

Yilmaz R., Kilic I.

9th Mediterranean Electrotechnical Conference (Melecon 98), Tel-Aviv-Yafo, İsrail, 18 - 20 Mayıs 1998, ss.77-81, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Tel-Aviv-Yafo
  • Basıldığı Ülke: İsrail
  • Sayfa Sayıları: ss.77-81
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Magnetic Resonance Imaging (MRI) and Computer Tomography (CT) are very important techniques that are used in disease diognasis in medicine. In an average sized hospital, many tera-bytes of digital imaging data (MRT and CT) are generated every year, almost all of which has to be kept and archieved. Compression of medical images is currently being performed by using different algorithms. The most common compression technique is Vector Quantization. Interframe coding, Discrete Hartley Transform, Mixed Transform, Entropy-coded DPCM and JPEG algorithm are also used. Recently Hierarchical Finite-State Vector Quantization(HFSVQ), which is the improved version of Vector Quantization, has been introduced as a compression technique with high compression ratios for video images. Although the HFSVQ algorithm is the most efficient compression technique according to its compression ratios, we show here that it has also good performance for brain tomography and magnetic resonance images.