Book ChapterDOI
MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net.
Bart R. Thomson,Jasper N. Smit,Oleksandra Ivashchenko,Niels F. M. Kok,Koert F. D. Kuhlmann,T.J.M. Ruers,Matteo Fusaglia +6 more
- pp 275-284
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TLDR
A workflow consisting of multi-class segmentation combined with selective non-rigid registration that leads to sufficient accuracy for integration in computer assisted liver surgery is developed using a reduced 3D U-Net for segmentation, followed by non- Rigid coherent point drift (CPD) registration.Abstract:
Accurate hepatic vessel segmentation and registration using ultrasound (US) can contribute to beneficial navigation during hepatic surgery. However, it is challenging due to noise and speckle in US imaging and liver deformation. Therefore, a workflow is developed using a reduced 3D U-Net for segmentation, followed by non-rigid coherent point drift (CPD) registration. By means of electromagnetically tracked US, 61 3D volumes were acquired during surgery. Dice scores of 0.77, 0.65 and 0.66 were achieved for segmentation of all vasculature, hepatic vein and portal vein respectively. This compares to inter-observer variabilities of 0.85, 0.88 and 0.74 respectively. Target registration error at a tumor lesion of interest was lower (7.1 mm) when registration is performed either on the hepatic or the portal vein, compared to using all vasculature (8.9 mm). Using clinical data, we developed a workflow consisting of multi-class segmentation combined with selective non-rigid registration that leads to sufficient accuracy for integration in computer assisted liver surgery.read more
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Journal ArticleDOI
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
TL;DR: A narrative literature review examines the numerous developments and breakthroughs in the U-net architecture and provides observations on recent trends, and discusses the many innovations that have advanced in deep learning and how these tools facilitate U-nets.
Book ChapterDOI
Cross-Modal Attention for MRI and Ultrasound Volume Registration
Xinrui Song,Hengtao Guo,Xuanang Xu,Hanqing Chao,Sheng Xu,Baris Turkbey,Bradford J. Wood,Ge Wang,Pingkun Yan +8 more
TL;DR: In this paper, a self-attention mechanism was proposed for cross-modal image registration, which effectively maps each of the features in one volume to all features in the corresponding volume.
Journal ArticleDOI
Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the Liver Using Multi-Labelled Content-Based Image Retrieval
João Ramalhinho,Henry F. J. Tregidgo,Kurinchi Selvan Gurusamy,David J. Hawkes,Brian R. Davidson,Matthew J. Clarkson +5 more
TL;DR: A proposed registration approach using Content-Based Image Retrieval (CBIR) is extended to use multiple labelled objects and constrain the registration by separating liver vessels into portal vein and hepatic vein branches, demonstrating the value of this new labeled approach in retrospective data from 5 patients.
Journal ArticleDOI
Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver.
Nina Montaña-Brown,João Ramalhinho,Moustafa Allam,Brian R. Davidson,Yipeng Hu,Matthew J. Clarkson +5 more
TL;DR: In this article, the authors use 2D UNet for the segmentation of liver vessels in 2D LUS images, and show the feasibility of a fully automatic initialisation to the LUS to CT registration problem without a tracking device.
Book ChapterDOI
Learning-Based US-MR Liver Image Registration with Spatial Priors
Qiao Jia Zeng,Shahed K. Mohammed,Emily H. T. Pang,Caitlin Schneider,Mohammad Honarvar,Julio Lobo,Changhong Hu,James Jago,G.C. Ng,Robert Rohling,Septimiu E. Salcudean +10 more
TL;DR: In this paper , an image registration workflow is presented to achieve reliable alignment for subject-specific magnetic resonance (MR) and intercostal 3D ultrasound (US) images of the liver.
References
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Proceedings ArticleDOI
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Book ChapterDOI
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Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Soeren S. Lienkamp,Thomas Brox,Olaf Ronneberger,Olaf Ronneberger +6 more
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Proceedings ArticleDOI
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Journal ArticleDOI
Point Set Registration: Coherent Point Drift
Andriy Myronenko,Xubo Song +1 more
TL;DR: A probabilistic method, called the Coherent Point Drift (CPD) algorithm, is introduced for both rigid and nonrigid point set registration and a fast algorithm is introduced that reduces the method computation complexity to linear.
Journal ArticleDOI
Building skeleton models via 3-D medial surface/axis thinning algorithms
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