分割
磁共振成像
后颅窝
图像分割
生物识别
脑干
人工智能
模式识别(心理学)
医学
解剖
计算机科学
放射科
内科学
作者
I. Claude,Jean-Luc Daire,G. Sebag
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2004-04-01
卷期号:51 (4): 617-626
被引量:41
标识
DOI:10.1109/tbme.2003.821032
摘要
This paper presents a novel approach to fetal magnetic resonance image segmentation and biometric analysis of the posterior fossa's midline structures. We developed a semi-automatic segmentation method (based on a region growing technique) and tested the algorithm on images of 104 normal fetuses. Using the segmented regions of interest (posterior fossa, vermis, and brainstem), we computed four relative area ratios. Statistical and clinical analysis of our results showed that the relative development of these structures appears to be independent of pregnancy term. In an additional study of 23 pathological cases, one of the four measurements was always significantly different from the corresponding value observed in normal cases.
科研通智能强力驱动
Strongly Powered by AbleSci AI