IRIS-Intelligent Rapid Interactive Segmentation for Measuring Liver Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.
IRIS-Intelligent Rapid Interactive Segmentation for Measuring Liver Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.
复制标题
DOI：
10.3390/tomography8010037
复制
发表时间：
2022-02-09
期刊：
影响因子：
--
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Li C;Romano D;Wang SJ;Zhang H;Prince MR;Wang Y
目的：开发交互式功能并将其与自动方法集成，用于常染色体显性遗传性多囊肾和肝病（ADPKD）患者的准确肝囊肿分割。研究方法：SmartClick和antiSmartClick是使用空间和强度连接引导的迭代区域生长开发的，并与自动水平集（LS）分割和图形用户界面相结合，形成了智能快速交互式分割（IRIS）工具。将ADPKD患者（n = 17）加权图像上肝囊肿的IRIS和LS分割与手动分割作为基础事实（GT）进行比较。结果：与手动GT相比，IRIS将分割时间缩短了10倍以上。与自动LS相比，IRIS将平均肝囊肿体积误差从42.22%降低到13.44%（p < 0.001）。IRIS分割与手动GT吻合良好（79%骰子评分和99%组内相关系数）。结论：IRIS技术能够快速、准确地分割ADPKD患者的肝囊肿。
Purpose: To develop and integrate interactive features with automatic methods for accurate liver cyst segmentation in patients with autosomal dominant polycystic kidney and liver disease (ADPKD). Methods: SmartClick and antiSmartClick were developed using iterative region growth guided by spatial and intensity connections and were integrated with automated level set (LS) segmentation and graphical user interface, forming an intelligent rapid interactive segmentation (IRIS) tool. IRIS and LS segmentations of liver cysts on weighted images of patients with ADPKD (n = 17) were compared with manual segmentation as ground truth (GT). Results: Compared to manual GT, IRIS reduced the segmentation time by more than 10-fold. Compared to automated LS, IRIS reduced the mean liver cyst volume error from 42.22% to 13.44% (p < 0.001). IRIS segmentation agreed well with manual GT (79% dice score and 99% intraclass correlation coefficient). Conclusion: IRIS is feasible for fast, accurate liver cyst segmentation in patients with ADPKD.
登录
查看更多内容
从常染色体显性多囊肾病患者有界腹部 MR 图像中自动分割肝脏和肝囊肿。
影响因子：
3.5
作者：
Kim Y;Bae SK;Cheng T;Tao C;Ge Y;Chapman AB;Torres VE;Yu AS;Mrug M;Bennett WM;Flessner MF;Landsittel DP;Bae KT
通讯作者：
Bae KT
影响因子：
10.6
作者：
Chan, TF;Vese, LA
通讯作者：
Vese, LA
影响因子：
19.7
作者：
Codella, Noel C. F.;Weinsaft, Jonathan W.;Wang, Yi
通讯作者：
Wang, Yi
影响因子：
19.7
作者：
Kim, Jin Ah;Blumenfeld, Jon D.;Prince, Martin R.
通讯作者：
Prince, Martin R.
影响因子：
6.7
作者：
Saake, Marc;Seuss, Hannes;Laun, Frederik B.
通讯作者：
Laun, Frederik B.