当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
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Khalid Iqbal, Saima Altaf, Muhammad Aqeel, Muhammad Akram1, Kent A Gifford and Saeed Ahmad Buzdar
Image fusion has become a widely used tool for enhancing the quality of images in medical applications. This article examines the utility of integrating images from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) and compare Gross tumor volume (GTV) delineated in CT and CT-MRI fused image data sets separately. Delineation of Gross Tumor volume defined by fusing the two imaging modalities is an important step and could provide significant difference using CT and CT-MRI fused image data sets. In this study twenty two patients suffering from Brain Gliomas were evaluated using CT and CT/MRI images. Match points Registration method is used for the fusion of CT and MRI image data sets. The GTV of CT-MRI fused images was large as compared to CT images with mean volume of (Mean ± SD: 112.67 ± 74.73cc) and 102.15 ± 64.88cc respectively. Difference observed for GTV is 10.52 ± 10.05cc (p=0.004). After taking CT-MRI fused image as reference, calculated mean percentage difference in volumes was about 12%. It was found that GTV was larger on CT-MRI image for brain Gliomas than CT image. Therefore, the fusion of two imaging modalities is recommended for accurate delineation of GTV in radiation therapy treatment planning of brain tumor.