Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models

International Journal of Computer Assisted Radiology and Surgery
Davood KarimiSeptimiu E Salcudean

Abstract

Most of the existing convolutional neural network (CNN)-based medical image segmentation methods are based on methods that have originally been developed for segmentation of natural images. Therefore, they largely ignore the differences between the two domains, such as the smaller degree of variability in the shape and appearance of the target volume and the smaller amounts of training data in medical applications. We propose a CNN-based method for prostate segmentation in MRI that employs statistical shape models to address these issues. Our CNN predicts the location of the prostate center and the parameters of the shape model, which determine the position of prostate surface keypoints. To train such a large model for segmentation of 3D images using small data (1) we adopt a stage-wise training strategy by first training the network to predict the prostate center and subsequently adding modules for predicting the parameters of the shape model and prostate rotation, (2) we propose a data augmentation method whereby the training images and their prostate surface keypoints are deformed according to the displacements computed based on the shape model, and (3) we employ various regularization techniques. Our proposed method achieve...Continue Reading

References

Jun 16, 2009·Medical Image Analysis·Tobias Heimann, Hans-Peter Meinzer
Dec 25, 2009·International Journal of Computer Assisted Radiology and Surgery·Nasr MakniN Betrouni
Oct 27, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Andriy Myronenko, Xubo Song
Jun 6, 2012·IEEE Transactions on Medical Imaging·Robert Toth, Anant Madabhushi
Nov 16, 2013·IEEE Transactions on Bio-medical Engineering·Dwarikanath Mahapatra, Joachim M Buhmann
Jan 15, 2014·Medical Image Analysis·Geert LitjensAnant Madabhushi
Jun 17, 2016·Medical Image Analysis·Mohammad HavaeiHugo Larochelle
Aug 5, 2017·Medical Image Analysis·Geert LitjensClara I Sánchez

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Citations

May 17, 2019·Nature Reviews. Urology·S Larry GoldenbergSeptimiu E Salcudean
Aug 31, 2020·Journal of Medical Systems·Gonçalo Almeida, João Manuel R S Tavares
Sep 24, 2020·Medical Physics·Dong Joo RheeLaurence E Court
Jul 8, 2020·International Journal of Radiation Oncology, Biology, Physics·Jeremiah W SandersSteven J Frank
Aug 20, 2020·AJR. American Journal of Roentgenology·Alexander UshinskyRoozbeh Houshyar
May 1, 2021·Radiology. Imaging Cancer·Michelle BardisPeter Chang
Jun 20, 2021·Journal of Medical Imaging and Radiation Oncology·Phillip ChlapAnnette Haworth

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