QUANTITATIVE IMAGE MODELING FOR BRAIN TUMOR ANALYSIS AND TRACKING

长期以来，核磁共振图像已被广泛用于各种医疗应用，因为 在检测表明癌症的组织异常时，它们是安全和高度敏感的。核磁共振是 通过测量组织成分对磁场的响应而产生。此外，基于 公开的统计数据显示，脑瘤是最常见的致死原因之一，也是早期发现的原因 而监测对治疗至关重要。文献和市场回顾表明，尽管 使用MRI图像、基于MRI的系统对脑肿瘤检测进行了广泛的研究 专为脑肿瘤检测而设计的、具有终极临床价值和使用价值的仪器还很缺乏。 因此，我们提出了一种新的软件技术，能够有效地检测、分割、分类和 监测MRI图像中的脑肿瘤。

MRI images have been used for a wide variety of medical applications for a long time because they are safe and highly sensitive at detecting of tissue abnormalities that indicate cancer. MRI is generated by measuring the response of tissue components to a magnetic field. Also, based on the published statistics, brain tumor is one of the most common causes of death and early detection and monitoring is crucial for treatment. Literature and market review suggests that although extensive research exists on brain tumor detection using MRI images, MRI–based systems designed for brain tumor detection that have ultimate clinical value and use are lacking. Accordingly, we propose a new software technology that effectively detect, segment, classify and monitor brain tumor in MRI images.