When treating a brain tumor, a doctor needs to know the site and the size of the tumor. Positron emission tomography (PET) can be effectively applied to diagnose such cancers based on the heightened glucose metabolism of early-stage cancer cells. The purpose of this research is to extract the regions of skull, brain tumor, and brain tissue from a series of PET brain images and then a three-dimensional (3D) model is reconstructed from the extracted skulls, brain tumors, and brain tissues. Knowing the relative site and size of a tumor within the skull is helpful to a doctor. The contours obtained by the segmentation method proposed in this study are quantitatively compared with the contours drawn by doctors on the same image set since the ground truth is unknown. The experimental results are impressive.

中文翻译：

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PET 图像上的自动脑癌分割

治疗脑肿瘤时，医生需要知道肿瘤的部位和大小。基于早期癌细胞葡萄糖代谢增强，正电子发射断层扫描 (PET) 可有效用于诊断此类癌症。本研究的目的是从一系列 PET 脑图像中提取颅骨、脑肿瘤和脑组织的区域，然后从提取的颅骨、脑肿瘤和脑组织中重建三维 (3D) 模型。了解颅骨内肿瘤的相对位置和大小对医生很有帮助。由于地面真实情况未知，因此通过本研究提出的分割方法获得的轮廓与医生在同一图像集上绘制的轮廓进行了定量比较。实验结果令人印象深刻。