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Hindi Research Article
Brain Gliomas CT-MRI Image Fusion for Accurate Delineation of Gross Tumor Volume in Three Dimensional Conformal Radiation Therapy
| Khalid Iqbal1,2*, Saima Altaf1,2, Muhammad Aqeel3, Muhammad Akram1, Kent A Gifford4 and Saeed Ahmad Buzdar1 | |
| 1Department of physics, The Islamia University of Bahawalpur, Pakistan | |
| 2Department of Radiation Oncology, Shaukat Khanum Cancer Hospital & Research Center, Lahore, Pakistan | |
| 3North West General Hospital and Research Centre, Peshawar, Pakistan | |
| 4Department of Radiation Physics, The University of Texas M D Anderson Cancer Center, Houston, TX, USA | |
| Corresponding Author : | author: Khalid Iqbal Department of Radiation Oncology Shaukat Khanum Cancer Hospital &Research Center Lahore, Pakistan Tel:0092-42-35945100 Fax: 0092-42-35945206 E-mail: Khalid_phy@yahoo.com |
| Received date: December 03, 2014; Accepted date: April 24, 2015; Published date: April 27, 2015 | |
| Citation: Iqbal K, Altaf S, Aqeel M, Akram M, Gifford KA, et al. (2015) Brain Gliomas CT-MRI Image Fusion for Accurate Delineation of Gross Tumor Volume in Three Dimensional Conformal Radiation Therapy. OMICS J Radiol 4:184. doi: 10.4172/2167-7964.1000184 | |
| Copyright: © 2015 Iqbal K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.. | |
Abstract
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 ïûÿCT-MRI ïûÿfused 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.
