Title:
AUTOMATIC SEGMENTATION PROCESS OF A 3D MEDICAL IMAGE BY SEVERAL NEURAL NETWORKS THROUGH STRUCTURED CONVOLUTION ACCORDING TO THE GEOMETRY OF THE 3D MEDICAL IMAGE
Document Type and Number:
WIPO Patent Application WO/2019/137997
Kind Code:
A1
Abstract:
This invention concerns an automatic segmentation method of features, such as anatomical and pathological structures or instruments, which are visible in a 3D medical image of a subject, composed of voxels. Said method being characterised in that it consists in providing a global software means or arrangement combining N different convolutional neural networks or CNNs, with N≥2, and having a structured geometry or architecture adapted and comparable to that of the image volume, and in analysing voxels forming said volume of the 3D image according to N different reconstruction axes or planes, each CNN being allocated to the analysis of the voxels belonging to one axis or plane.
Inventors:
SOLER LUC (FR)
THOME NICOLAS (FR)
HOSTETTLER ALEXANDRE (FR)
MARESCAUX JACQUES (FR)
THOME NICOLAS (FR)
HOSTETTLER ALEXANDRE (FR)
MARESCAUX JACQUES (FR)
Application Number:
PCT/EP2019/050542
Publication Date:
July 18, 2019
Filing Date:
January 10, 2019
Export Citation:
Assignee:
INSTITUT DE RECH SUR LES CANCERS DE LAPPAREIL DIGESTIF IRCAD (FR)
VISIBLE PATIENT (FR)
CONSERVATOIRE NAT DES ARTS ET METIERS C N A M (FR)
VISIBLE PATIENT (FR)
CONSERVATOIRE NAT DES ARTS ET METIERS C N A M (FR)
International Classes:
G06T7/11
Other References:
"Serious Games", vol. 7908, 1 January 2013, SPRINGER INTERNATIONAL PUBLISHING, Cham, ISBN: 978-3-642-37803-4, ISSN: 0302-9743, article ADHISH PRASOON ET AL: "Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network", pages: 246 - 253, XP055562797, 032682, DOI: 10.1007/978-3-642-40763-5_31
KISUK LEE ET AL: "Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection", 19 August 2015 (2015-08-19), pages 1 - 10, XP055562799, Retrieved from the Internet [retrieved on 20190227]
JIANXU CHEN ET AL: "Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation", 4 September 2016 (2016-09-04), pages 1 - 9, XP055562804, Retrieved from the Internet [retrieved on 20190227]
MARIJN F STOLLENGA ET AL: "Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation", 24 June 2015 (2015-06-24), pages 1 - 9, XP055562803, Retrieved from the Internet [retrieved on 20190227]
O. RONNEBERGER ET AL.: "MICCAI", 2015, SPRINGER IPS, pages: 234 - 241
KISUK LEE ET AL: "Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection", 19 August 2015 (2015-08-19), pages 1 - 10, XP055562799, Retrieved from the Internet
JIANXU CHEN ET AL: "Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation", 4 September 2016 (2016-09-04), pages 1 - 9, XP055562804, Retrieved from the Internet
MARIJN F STOLLENGA ET AL: "Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation", 24 June 2015 (2015-06-24), pages 1 - 9, XP055562803, Retrieved from the Internet
O. RONNEBERGER ET AL.: "MICCAI", 2015, SPRINGER IPS, pages: 234 - 241
Attorney, Agent or Firm:
CABINET NUSS (FR)
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