Analisis Informasi Citra Anatomi MRI Brain dengan Variasi Flip Angle (FA) Sekuen 3D TOF MRA pada Klinis Tumor Otak

Background: Brain tumors are abnormal cell mass growths in the brain tissue. MRI can show images of blood vessels without using contrast media called MRA. Flip angel (FA) of MRI scanning parameter that affects the contrast of blood vessel flow and stationary tissue in 3D MRA TOF sequences. This study aims to determine the difference in anatomical image information on 3D MRA TOF with flip angle variations and find the optimal flip angle value. Methods: This study is an experimental study using 1.5 Tesla MRI modality on 10 clinical patients with brain tumors with 20º and 25º of flip angle variation. The images were assessed by 2 respondents with anatomical assessment of Internal Carotid Artery , Vertebral Artery, Basilar Artery, Anterior Cerebral Artery, Posterior Cerebral Artery, Middle Cerebral Artery, Anterior Communicating Artery, Posterior Communicating Artery dan Tumor Feeding Artery. Analysis data was performed by cross tabulation and wilcoxon test. Results: Wilcoxon test show the overall anatomical information obtained a significant value (p-value) of 0,000 = p<0,05, meaning that there are differences in anatomical image information of 3D MRA TOF sequences at 20º and 25º flip angle variations. Based on the Wilcoxon test results, the mean rank value obtained by 20o flip angle is 25,50 while 25o flip angle is 27,16. Conclusions: The flip angle value that is more optimal in displaying anatomical image information is 25º flip angle where more visualized at Vertebral Artery, Basilar Artery, Anterior Cerebral Artery, Posterior Communicating Artery and Tumor Feeding Artery.

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Publication Details

Journal
JRI (Jurnal Radiografer Indonesia)
Published
2025-05-30
DOI
https://doi.org/10.55451/jri.v8i1.396
Primary Topic
Brain Tumor Detection and Classification
Type
article
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article

Analisis Informasi Citra Anatomi MRI Brain dengan Variasi Flip Angle (FA) Sekuen 3D TOF MRA pada Klinis Tumor Otak

Andrey Nino Kurniawan, Nabilah Putri Riyadi, Dartini Dartini
JRI (Jurnal Radiografer Indonesia)
Brain Tumor Detection and Classification
article

Analisis Informasi Citra Anatomi MRI Brain dengan Variasi Flip Angle (FA) Sekuen 3D TOF MRA pada Klinis Tumor Otak

Andrey Nino Kurniawan, Nabilah Putri Riyadi, Dartini Dartini
article en

Abstract

Background: Brain tumors are abnormal cell mass growths in the brain tissue. MRI can show images of blood vessels without using contrast media called MRA. Flip angel (FA) of MRI scanning parameter that affects the contrast of blood vessel flow and stationary tissue in 3D MRA TOF sequences. This study aims to determine the difference in anatomical image information on 3D MRA TOF with flip angle variations and find the optimal flip angle value. Methods: This study is an experimental study using 1.5 Tesla MRI modality on 10 clinical patients with brain tumors with 20º and 25º of flip angle variation. The images were assessed by 2 respondents with anatomical assessment of Internal Carotid Artery , Vertebral Artery, Basilar Artery, Anterior Cerebral Artery, Posterior Cerebral Artery, Middle Cerebral Artery, Anterior Communicating Artery, Posterior Communicating Artery dan Tumor Feeding Artery. Analysis data was performed by cross tabulation and wilcoxon test. Results: Wilcoxon test show the overall anatomical information obtained a significant value (p-value) of 0,000 = p<0,05, meaning that there are differences in anatomical image information of 3D MRA TOF sequences at 20º and 25º flip angle variations. Based on the Wilcoxon test results, the mean rank value obtained by 20o flip angle is 25,50 while 25o flip angle is 27,16. Conclusions: The flip angle value that is more optimal in displaying anatomical image information is 25º flip angle where more visualized at Vertebral Artery, Basilar Artery, Anterior Cerebral Artery, Posterior Communicating Artery and Tumor Feeding Artery.

JRI (Jurnal Radiografer Indonesia)Vol. 8(1)
Politeknik Kesehatan Kemenkes Semarang (ID)
Openalex Percentile: Top 84%
Brain Tumor Detection and Classification
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