Related Experiment Video
Updated: Mar 19, 2026
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Semiautomated Segmentation of Polycystic Kidneys in T2-Weighted MR Images
Timothy L Kline1, Marie E Edwards2, Panagiotis Korfiatis1
11 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Objective:
The objective of the present study is to develop and validate a fast, accurate, and reproducible method that will increase and improve institutional measurement of total kidney volume and thereby avoid the higher costs, increased operator processing time, and inherent subjectivity associated with manual contour tracing.
Materials And Methods:
We developed a semiautomated segmentation approach, known as the minimal interaction rapid organ segmentation (MIROS) method, which results in human interaction during measurement of total kidney volume on MR images being reduced to a few minutes. This software tool automatically steps through slices and requires rough definition of kidney boundaries supplied by the user. The approach was verified on T2-weighted MR images of 40 patients with autosomal dominant polycystic kidney disease of varying degrees of severity.
Results:
The MIROS approach required less than 5 minutes of user interaction in all cases. When compared with the ground-truth reference standard, MIROS showed no significant bias and had low variability (mean ± 2 SD, 0.19% ± 6.96%).
Conclusion:
The MIROS method will greatly facilitate future research studies in which accurate and reproducible measurements of cystic organ volumes are needed.
