| Title | IRIS-Intelligent Rapid Interactive Segmentation for Measuring Liver Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease. |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Li C, Romano D, Wang SJ, Zhang H, Prince MR, Wang Y |
| Journal | Tomography |
| Volume | 8 |
| Issue | 1 |
| Pagination | 447-456 |
| Date Published | 2022 02 09 |
| ISSN | 2379-139X |
| Keywords | Cysts, Humans, Kidney, Liver Diseases, Magnetic Resonance Imaging, Polycystic Kidney, Autosomal Dominant |
| Abstract | 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 T2 weighted images of patients with ADPKD ( = 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% ( < 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. |
| DOI | 10.3390/tomography8010037 |
| Alternate Journal | Tomography |
| PubMed ID | 35202202 |
| PubMed Central ID | PMC8877996 |
| Grant List | R01 DK116126 / DK / NIDDK NIH HHS / United States |
Related Institute:
MRI Research Institute (MRIRI)