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Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data

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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.

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Acknowledgments

The authors would like to thank the NIH and NIDDK for their support under the grants F30DK098832 and P30DK090728, and Joshua Warner wishes to thank the Mayo Clinic Medical Scientist Training Program (MSTP) for fostering an outstanding environment for physician-scientist training.

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Authors and Affiliations

  1. 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

    Joshua D. Warner

  2. Mayo Clinic Department of Nephrology, Rochester, USA

    Maria V. Irazabal & Vicente E. Torres

  3. Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India

    Ganapathy Krishnamurthi

  4. Mayo Clinic Department of Radiology, Rochester, USA

    Bernard F. King & Bradley J. Erickson

Authors
  1. Joshua D. Warner
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  2. Maria V. Irazabal
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  3. Ganapathy Krishnamurthi
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  4. Bernard F. King
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  5. Vicente E. Torres
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  6. Bradley J. Erickson
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Corresponding author

Correspondence to Bradley J. Erickson.

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Warner, J.D., Irazabal, M.V., Krishnamurthi, G. et al. Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. J Digit Imaging 27, 514–519 (2014). https://doi.org/10.1007/s10278-014-9679-y

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  • DOI: https://doi.org/10.1007/s10278-014-9679-y

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