多囊肾的监督分割：体视学数据的新应用
Supervised segmentation of polycystic kidneys: a new application for stereology data.
作者信息
Warner Joshua D, Irazabal Maria V, Krishnamurthi Ganapathy, King Bernard F, Torres Vicente E, Erickson Bradley J
机构信息
Mayo Clinic Department of Biomedical Engineering, Mayo Graduate School, Mayo Medical School and the Mayo Clinic Medical Scientist Training Program, 200 First Street SW, Rochester, MN, 55905, USA,
出版信息
J Digit Imaging. 2014 Aug;27(4):514-9. doi: 10.1007/s10278-014-9679-y.
Abstract
Stereology is a volume estimation method, typically applied to diagnostic imaging examinations in population studies where planimetry is too time-consuming (Chapman et al. Kidney Int 64:1035-1045, 2003), to obtain quantitative measurements (Nyengaard J Am Soc Nephrol 10:1100-1123, 1999, Michel and Cruz-Orive J Microsc 150:117-136, 1988) of certain structures or organs. However, true segmentation is required in order to perform advanced analysis of the tissues. This paper describes a novel method for segmentation of region(s) of interest using stereology data as prior information. The result is an efficient segmentation method for structures that cannot be easily segmented using other methods.
摘要
体视学是一种体积估计方法，通常应用于人群研究中的诊断成像检查，在这些研究中，平面测量法过于耗时（查普曼等人，《肾脏国际》64:1035 - 1045，2003年），以获取某些结构或器官的定量测量值（尼恩加德，《美国肾脏病学会杂志》10:1100 - 1123，1999年，米歇尔和克鲁兹 - 奥里韦，《显微镜学杂志》150:117 - 136，1988年）。然而，为了对组织进行高级分析，需要进行真正的分割。本文描述了一种使用体视学数据作为先验信息来分割感兴趣区域的新方法。结果是一种针对难以用其他方法分割的结构的有效分割方法。
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