QUANTITATIVE IMAGE MODELING FOR BRAIN TUMOR ANALYSIS AND TRACKING

MRI图像已经被用于各种各样的医疗应用很长一段时间，因为 它们在检测指示癌症的组织异常方面是安全的和高度敏感的。MRI是 通过测量组织成分对磁场的响应而产生。此外，根据 公布的统计数据显示，脑肿瘤是最常见的死亡原因之一， 监测对治疗至关重要。文献和市场回顾表明，尽管 存在关于使用MRI图像、基于MRI的系统 设计用于脑肿瘤检测的具有最终临床价值和用途的药物缺乏。 因此，我们提出了一种新的软件技术，有效地检测，分割，分类， 在MRI图像中监测脑肿瘤。

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.