Processing PET/CT Medicine Images and Determining the Object

Eminnur Topsakal Ayhan
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Abstract

Today, as a result of the developments in medical imaging systems, combined Positron Emission Tomography and Computed Tomography (PET/CT) images are used as effective imaging tools in cancer diagnosis and treatment. The study aims to display the tumor in 3D using PET/CT images and to determine the change in tumor size over time. For rapid detection of tumor tissues from numerous PET/CT images is developed software (in Phyton). With the software, tomography images taken at 3 different times 30.05.2017, 23.10.2017 and 08.02.2019 of a patient with hypopharynx cancer are evaluated. The image and real object coordinates of the cancerous region with a radioactive substance in the images are calculated. For 3 different times, variables related to changes in the tumor size of the patient are evaluated in Matlab software and 3D imaging and volume calculations are made. Thus, the temporal variation of the shape, location, and dimensions of the tumor is determined, and whether the patient's response to treatment is positive is observed with image processing and evaluation techniques.
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PET/CT医学图像处理与目标确定
今天,由于医学成像系统的发展,结合正电子发射断层扫描和计算机断层扫描(PET/CT)图像被用作癌症诊断和治疗的有效成像工具。该研究旨在利用PET/CT图像以3D方式显示肿瘤,并确定肿瘤大小随时间的变化。为了从众多PET/CT图像中快速检测肿瘤组织,开发了软件(在Phyton)。利用该软件对下咽癌患者在2017年5月30日、2017年10月23日和2019年2月8日3个不同时间拍摄的断层扫描图像进行评估。计算图像中含有放射性物质的癌变区域的图像和真实物体坐标。在Matlab软件中对患者肿瘤大小变化的相关变量进行3次评估,并进行三维成像和体积计算。因此,可以确定肿瘤的形状、位置和尺寸的时间变化,并通过图像处理和评估技术观察患者对治疗的反应是否积极。
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