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Image Stitching for Achilles Tendon Ultrasonography Using Particle Swarm Optimization of Boundary Vector Field Based Similarity and Log-Domain Diffeomorphic Registration
Author(s) -
Jingyu Xiong,
Qi Zhang,
Jingfeng Suo,
Yehua Cai,
Jun Shi,
Yinghui Hua
Publication year - 2017
Publication title -
journal of medical imaging and case reports
Language(s) - English
Resource type - Journals
ISSN - 2578-2045
DOI - 10.17756/micr.2017-003
Subject(s) - image stitching , achilles tendon , similarity (geometry) , particle swarm optimization , computer vision , domain (mathematical analysis) , artificial intelligence , boundary (topology) , computer science , diffeomorphism , mathematics , image (mathematics) , algorithm , anatomy , mathematical analysis , medicine , tendon
Results: Simulation experiments of non-rigid registration on 20 image pairs show that the horizontal, vertical and distance registration errors of our method are 1.422, 0.628, and 1.616 pixel, respectively. Non-rigid registration experiments on 11 pairs of real clinical US images demonstrate that the horizontal, vertical and distance registration errors are 1.514, 1.205, and 1.928 pixel, respectively. Registration results on both synthetic images and real clinical images by our method exceeded those of other four methods. After image blending on multiple AT sections of US scans, panoramas of AT are generated for dual modality visualization of both B-mode and sonoelastography.

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