Inter-slice correspondence for 2D ultrasound-guided procedures

/in , , /by
Inter-slice correspondence for 2D ultrasound-guided procedures

Toews, Matthew and Golby, Alexandra J. and Wells, William M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014

Abstract : This paper reports on a new computational methodology, inter-slice correspondence (ISC), for robustly aligning sets of 2D ultrasound (US) slices during image-guided medical procedures. Correspondences are derived from distinctive, local scale-invariant features, which are used in one-to-many matching of US slices in near real-time despite out-of-plane rotation, in addition to global in-plane similarity transforms, occlusion, missing tissue, US plane mirroring, changes in US probe depth settings. Experiments demonstrate that ISC can align manually-acquired US slices without probe tracking information in the context of image-guided neurosurgery, with an accuracy of 1.3 mm. A novel reconstruction-without-calibration application based on ISC is proposed, where 3D US reconstruction results are very similar to those obtained via traditional phantom-based calibration. © 2014 Springer International Publishing.

You might also like
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme
A multi-task approach for contrastive learning of handwritten signature feature representations
IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet
High-speed human detection using a multiresolution cascade of histograms of oriented gradients
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
Detecting rapid organ motion using a hybrid MR-ultrasound setup and Bayesian data processing
Laplacian Regularized Few-Shot Learning
Shape analysis for brain structures