Estimating a reference standard segmentation with spatially varying performance parameters: local MAP STAPLE.

IEEE Transactions on Medical Imaging
Olivier CommowickSimon K Warfield

Abstract

We present a new algorithm, called local MAP STAPLE, to estimate from a set of multi-label segmentations both a reference standard segmentation and spatially varying performance parameters. It is based on a sliding window technique to estimate the segmentation and the segmentation performance parameters for each input segmentation. In order to allow for optimal fusion from the small amount of data in each local region, and to account for the possibility of labels not being observed in a local region of some (or all) input segmentations, we introduce prior probabilities for the local performance parameters through a new maximum a posteriori formulation of STAPLE. Further, we propose an expression to compute confidence intervals in the estimated local performance parameters. We carried out several experiments with local MAP STAPLE to characterize its performance and value for local segmentation evaluation. First, with simulated segmentations with known reference standard segmentation and spatially varying performance, we show that local MAP STAPLE performs better than both STAPLE and majority voting. Then we present evaluations with data sets from clinical applications. These experiments demonstrate that spatial adaptivity in seg...Continue Reading

References

Jul 15, 2004·IEEE Transactions on Medical Imaging·Simon K WarfieldWilliam M Wells
Feb 19, 2008·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Olivier CommowickGrégoire Malandain
Jan 10, 2009·IEEE Transactions on Medical Imaging·Ivana IsgumBram van Ginneken
Feb 21, 2009·IEEE Transactions on Medical Imaging·Xabier ArtaechevarriaCarlos Ortiz-de-Solorzano
Oct 13, 2009·NeuroImage·Brian B AvantsJames C Gee
Nov 10, 2009·Medical Image Analysis·Eva M van RikxoortBram van Ginneken
Mar 5, 2010·IEEE Transactions on Medical Imaging·Olivier Commowick, Simon K Warfield
Jun 22, 2010·IEEE Transactions on Medical Imaging·Mert R SabuncuPolina Golland
Jul 30, 2010·IEEE Transactions on Medical Imaging·Thomas Robin LangerakJosien P W Pluim
May 4, 2011·IEEE Transactions on Medical Imaging·Andrew J Asman, Bennett A Landman
Oct 20, 2011·IEEE Transactions on Medical Imaging·Bennett A LandmanJerry L Prince

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Citations

Mar 7, 2014·Medical Physics·Frederick W BryanBennett A Landman
Jun 25, 2013·International Journal of Computer Assisted Radiology and Surgery·Vahid TaimouriSimon K Warfield
Apr 6, 2013·Medical Physics·Andrew J AsmanBennett A Landman
Feb 22, 2014·Medical Image Analysis·Andrew J AsmanBennett A Landman
Dec 3, 2014·NeuroImage·Juan Eugenio IglesiasKoen Van Leemput
May 9, 2015·IEEE Journal of Biomedical and Health Informatics·Subrahmanyam GorthiSimon K Warfield
Jun 8, 2013·IEEE Transactions on Medical Imaging·Alireza Akhondi-Asl, Simon K Warfield
Dec 5, 2014·IEEE Transactions on Medical Imaging·Saman NouranianPurang Abolmaesumi
Jun 22, 2014·IEEE Transactions on Medical Imaging·Alireza Akhondi-AslSimon K Warfield
Nov 15, 2015·European Journal of Nuclear Medicine and Molecular Imaging·A SchaeferU Nestle
Jun 27, 2015·Computers in Biology and Medicine·Revanth Reddy GarlapatiKarol Miller
Dec 26, 2012·Medical Image Analysis·Andrew J Asman, Bennett A Landman
Mar 21, 2013·Medical Image Analysis·M Jorge CardosoUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Jul 24, 2015·Medical Image Analysis·Juan Eugenio Iglesias, Mert R Sabuncu
Jul 18, 2014·Medical Image Analysis·Andrew J Asman, Bennett A Landman
Aug 4, 2016·Frontiers in Neuroscience·Nikhil BhagwatM Mallar Chakravarty
Apr 19, 2019·JAMA Oncology·Hesham ElhalawaniReid F Thompson
Jul 13, 2018·Physics in Medicine and Biology·Andrzej SkalskiTomasz Drewniak
Jan 4, 2020·Neuroinformatics·Hancan ZhuUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Nov 20, 2015·Physics in Medicine and Biology·Anne-Sophie Dewalle-VignionMaximilien Vermandel

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