DISSERTATION

Motion Estimation and Registration of B-Mode Ultrasound Images for Improved Visualisation

Abstract

This thesis presents a method for motion tracking between ultrasound images that originated from moving an ultrasound probe. The motion tracking is done in two steps: In the first step, a modified block-matching search is used to track the motion between frames by tracking the speckle and the tissues in the images. From the modified block-matching approach, the global motion vector can be seen. In the second step, areas with motion vectors in the direction of the probes’ motion are put through another motion tracking algorithm called phase correlation. Doing so will improve the overall motion estimation. Phase correlation provides a smoother vector field compared to block-matching. At the end, an extended field-of-view frame will be obtained.

Keywords:
Computer vision Artificial intelligence Motion estimation Match moving Motion field Tracking (education) Motion vector Computer science Block-matching algorithm Quarter-pixel motion Block (permutation group theory) Motion (physics) Matching (statistics) Inter frame Phase correlation Speckle pattern Structure from motion Reference frame Frame (networking) Video tracking Mathematics Image (mathematics) Video processing

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
64
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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