Studi Kualitatif Fiber Tracking Diffusion Tensor Imaging dan Maximum Intensity Projection pada Citra Tumor Otak

Siwi, Faridatul Khusna (2023) Studi Kualitatif Fiber Tracking Diffusion Tensor Imaging dan Maximum Intensity Projection pada Citra Tumor Otak. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tumor otak dapat dideteksi menggunakan metode Diffusion Tensor Imaging (DTI) Magnetic Resonance Imaging (MRI). Penelitian ini bertujuan untuk mengetahui kualitas hasil pengolahan citra pada Magnetic Resonance Imaging (MRI) dengan teknik Diffusion Tensor Imaging (DTI). Penelitian ini dilakukan menggunakan MRI 3 Tesla, data sekunder Digital Imaging and Communications in Medicine (DICOM) pasien dengan tumor otak, dan perangkat lunak DSI Studio serta Radiant Dicom. Hasil pengolahan data berupa jaringan serat (fiber tracking) dan nilai Fractional Anisotropy (FA) diperoleh dari DSI Studio dan citra Maximum Intensity Projection (MIP) diperoleh dari Radiant Dicom. Hasil fiber tracking menunjukkan bahwa kualitas hasil pengolahan citra dengan teknik DTI memberikan informasi tentang arah dan kecepatan difusi udara disepanjang saraf sehingga menggambarkan visualisasi dan analisis struktur konektivitas otak. FA akan bernilai mendekati 0 apabila anisotropi rendah dan mendekati 1 apabila anisotropi tinggi. Kualitas hasil pengolahan citra dengan MIP memberikan informasi mengenai pembuluh darah, serta hasil visualisasi struktur vaskular yang kompleks. Sehingga dengan menggunakan teknik tersebut dapat membantu dokter dalam memahami hubungan spasial antar struktur jaringan saraf dan mengidentifikasi kelainan atau gangguan pada otak
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Brain tumors can be detected using the Diffusion Tensor Imaging (DTI) Magnetic Resonance Imaging (MRI) method. This study aims to determine the quality of image processing results on Magnetic Resonance Imaging (MRI) with Diffusion Tensor Imaging (DTI) technique. This study was conducted using a 3 Tesla MRI, secondary Digital Imaging and Communications in Medicine (DICOM) data of patients with brain tumors, and DSI Studio and Radiant Dicom software. The results of data processing in the form of fiber networks (fiber tracking) and Fractional Anisotropy (FA) values were obtained from DSI Studio and Maximum Intensity Projection (MIP) images were obtained from Radiant Dicom. Fiber tracking results show that the quality of image processing results with DTI techniques provide information about the direction and speed of air diffusion along the nerves so as to describe the visualization and analysis of brain connectivity structures. FA will be close to 0 if anisotropy is low and close to 1 if anisotropy is high. The quality of image processing results with MIP provides information about blood vessels, as well as visualization results of complex vascular structures. Thus, using this technique can help doctors understand the spatial relationship between neural network structures and identify abnormalities or disorders in the brain

Item Type:	Thesis (Other)
Uncontrolled Keywords:	DTI, FA, MIP, Serat, Fiber
Subjects:	Q Science > QC Physics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Faridatul Khusna Siwi
Date Deposited:	14 Sep 2023 06:44
Last Modified:	14 Sep 2023 06:44
URI:	http://repository.its.ac.id/id/eprint/102652

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