Medical image enhancement to extract brain tumors from CT and MRI images
Other Title(s)
تحسين الصورة الطبية لاستخراج أورام الدماغ من الأشعة المقطعية و التصوير بالرنين المغناطيسي
Joint Authors
Murad, Amir Husayn
al-Dabbas, Hadil Mutazz
Source
Issue
Vol. 60, Issue 8 (31 Aug. 2019), pp.1820-1829, 10 p.
Publisher
University of Baghdad College of Science
Publication Date
2019-08-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Mathematics
Telecommunications Engineering
Abstract EN
Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance these images to assist clinicians and make accurate diagnosis.
Firstly, in the proposed method uses two denoising filters (Median and Slantlet) are applied to images in parallel and the best enhanced image gained from both filters is voted by use PSNR and MSE as image quality measurements.
Next, extraction of brain tumor from cleaned images is done by segmentation method based on k-mean.
The result shows that the proposed method is giving an optimal solution due to denoising method which is based on multiple filter types to obtain best clear images and that is leads to make the extraction of tumor more precision best.
American Psychological Association (APA)
al-Dabbas, Hadil Mutazz& Murad, Amir Husayn. 2019. Medical image enhancement to extract brain tumors from CT and MRI images. Iraqi Journal of Science،Vol. 60, no. 8, pp.1820-1829.
https://search.emarefa.net/detail/BIM-969460
Modern Language Association (MLA)
al-Dabbas, Hadil Mutazz& Murad, Amir Husayn. Medical image enhancement to extract brain tumors from CT and MRI images. Iraqi Journal of Science Vol. 60, no. 8 (2019), pp.1820-1829.
https://search.emarefa.net/detail/BIM-969460
American Medical Association (AMA)
al-Dabbas, Hadil Mutazz& Murad, Amir Husayn. Medical image enhancement to extract brain tumors from CT and MRI images. Iraqi Journal of Science. 2019. Vol. 60, no. 8, pp.1820-1829.
https://search.emarefa.net/detail/BIM-969460
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-969460