Fully Automatic Bone Age Estimation from Left Hand MR Images
Fully Automatic Bone Age Estimation from Left Hand MR Images
复制标题
根据左手 MR 图像全自动估计骨龄
DOI：
--
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
M. Urschler
中科院分区：
文献类型：
--
作者：
Darko Štern;T. Ebner;H. Bischof;Sabine Grassegger;T. Ehammer;M. Urschler
最近，在法律的医学应用中，对活体和人类遗骸的骨龄估计（BAE）的需求不断增加。基于X射线图像的既定BAE技术的一个严重缺点是辐射暴露，因为许多国家禁止在没有诊断原因的情况下进行涉及电离辐射的扫描。我们提出了一个完全自动化的方法BAE体积的手MRI图像的基础上。在我们的56例13 - 19岁男性白人受试者数据库中，我们能够估计受试者年龄，与实际年龄相比，平均差异为0.85 ± 0.58岁，这与放射科医生使用既定放射学方法的结果一致。我们认为这项工作是朝着基于MRI的新型骨龄估计系统迈出的有希望的第一步，其主要优点是缺乏电离辐射暴露，并且由于利用体积数据而具有更高的准确性。
There has recently been an increased demand in bone age estimation (BAE) of living individuals and human remains in legal medicine applications. A severe drawback of established BAE techniques based on X-ray images is radiation exposure, since many countries prohibit scanning involving ionizing radiation without diagnostic reasons. We propose a completely automated method for BAE based on volumetric hand MRI images. On our database of 56 male caucasian subjects between 13 and 19 years, we are able to estimate the subjects age with a mean difference of 0.85 ± 0.58 years compared to the chronological age, which is in line with radiologist results using established radiographic methods. We see this work as a promising first step towards a novel MRI based bone age estimation system, with the key benefits of lacking exposure to ionizing radiation and higher accuracy due to exploitation of volumetric data.