Open AccessAnalisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ
Author(s) -
Budiani Destyningtias,
Andi Kurniawan Nugroho,
Sri Heranurweni
Publication year - 2019
Publication title -
elektrika
Language(s) - English
Resource type - Journals
eISSN - 2580-8486
pISSN - 2085-0565
DOI - 10.26623/elektrika.v10i1.1105
Subject(s) - dicom , medicine , contrast (vision) , stroke (engine) , contrast enhancement , jpeg , nuclear medicine , radiology , artificial intelligence , magnetic resonance imaging , computer science , image (mathematics) , mechanical engineering , engineering
This study aims to develop medical image processing technology, especially medical images of CT scans of stroke patients. Doctors in determining the severity of stroke patients usually use medical images of CT scans and have difficulty interpreting the extent of bleeding. Solutions are used with contrast stretching which will distinguish cell tissue, skull bone and type of bleeding. This study uses contrast stretching from the results of CT Scan images produced by first turning the DICOM Image into a JPEG image using the help of the ImageJ program. The results showed that the histogram equalization method and statistical texture analysis could be used to distinguish normal MRI and abnormal MRI detected by stroke. Keywords : Stroke, MRI, Dicom, JPEG, ImageJ, Contrast Stretching