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Detection and Quantification of Brain Tumor from MRI of Brain and it’s Symmetric Analysis

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Sudipta Roy , Samir K. Bandyopadhyay , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : MRI image, Segmentation, Tumor detection, Morphological analysis, Symmetry analysis.
Subjek : Detection and Quantification of Brain Tumor from MRI of Brain and it’s Symmetric Analysis
Url : http://esjournals.org/journaloftechnology/archive/vol2no6/vol2no6_2.pdf
Sumber pengambilan dokumen : Internet

In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. Here we detect the tumor,


segment the tumor and calculate the area of the tumor. The quantitative analysis of MRI brain tumor allows obtaining useful key


indicators of disease progression. The complex problem of segmenting tumor in MRI can be successfully addressed by considering


modular and multi-step approaches mimicking the human visual inspection process. The tumor detection is often an essential


preliminary phase to solve the segmentation problem successfully. The experiments showed good results also in complex situations.


Segmentation of images embraces a significant position in the region of image processing. It becomes more and more significant


while normally dealing with medical images; magnetic resonance (MR) imaging suggest more perfect information for medical


examination than that of other medical images such as ultrasonic , CT images and X-ray. Tumor segmentation and area calculation


from MRI data is an essential but fatigue, boring and time unbearable task when it completed manually by medical professional


when evaluate with present day’s high speed computing machines which facilitate us to visual study the area and position of


unnecessary tissues.

Deskripsi Alternatif :

In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. Here we detect the tumor,


segment the tumor and calculate the area of the tumor. The quantitative analysis of MRI brain tumor allows obtaining useful key


indicators of disease progression. The complex problem of segmenting tumor in MRI can be successfully addressed by considering


modular and multi-step approaches mimicking the human visual inspection process. The tumor detection is often an essential


preliminary phase to solve the segmentation problem successfully. The experiments showed good results also in complex situations.


Segmentation of images embraces a significant position in the region of image processing. It becomes more and more significant


while normally dealing with medical images; magnetic resonance (MR) imaging suggest more perfect information for medical


examination than that of other medical images such as ultrasonic , CT images and X-ray. Tumor segmentation and area calculation


from MRI data is an essential but fatigue, boring and time unbearable task when it completed manually by medical professional


when evaluate with present day’s high speed computing machines which facilitate us to visual study the area and position of


unnecessary tissues.

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