IRIS-Intelligent Rapid Interactive Segmentation for Measuring Liver Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease. Academic Article uri icon

Overview

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 (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.

publication date

  • February 9, 2022

Research

keywords

  • Cysts
  • Liver Diseases
  • Polycystic Kidney, Autosomal Dominant

Identity

PubMed Central ID

  • PMC8877996

Scopus Document Identifier

  • 85124761657

Digital Object Identifier (DOI)

  • 10.3390/tomography7020011

PubMed ID

  • 35202202

Additional Document Info

volume

  • 8

issue

  • 1