Open AccessImaging Analysis of Thresholding Image Filtering, Brain Abnormalities Morphology, and Dose Report CT Scan Records
Author(s) -
Bunga Meyzia,
Muhammad Hamdi,
Saktioto Saktioto,
Rina Amelia
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1655/1/012155
Subject(s) - thresholding , brain morphometry , artificial intelligence , partial volume , computer science , neuroimaging , nuclear medicine , focus (optics) , computed tomography , image (mathematics) , medicine , computer vision , pattern recognition (psychology) , biomedical engineering , radiology , magnetic resonance imaging , physics , optics , psychiatry
The abnormalities identified in the brain have been widely understood to be a form of disorder but displaying the data medically has been a problem. This study, therefore, proposes an imaging analysis to comprehensively investigate the thresholding method, morphology, and the medical imaging simulation approach using the CT scan. The focus was to identify the image of abnormalities in the brain starting with the illumination of the patient's head using X-rays and enhancing the image results. Moreover, irradiation results are also in the form of an image and output dose displayed on the Digital Imaging and Communication in Medicine using the radiology monitor. Thresholding methods and morphological operations are useful for determining the geometry of the area, depth, and volume of the brain using PHP programming. Furthermore, numerical calculations were applied to determine the value of the effective dose while statistical samples were used for 30 years and above. The results, therefore, showed the largest volume to be at the greatest effective dose value. Meanwhile, some data were not detected due to the abnormalities in the geometry of the brain object network, thereby, showing no significant difference in intensity values.