Literature DB >> 19524403

Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT.

Dong Ni1, Yim Pan Chui, Yingge Qu, Xuan Yang, Jing Qin, Tien-Tsin Wong, Simon S H Ho, Pheng Ann Heng.   

Abstract

Registration of ultrasound volumes is a key issue for the reconstruction of volumetric ultrasound panorama. In this paper, we propose an improved three-dimensional (3D) scale invariant feature transform (SIFT) algorithm to globally register ultrasound volumes acquired from dedicated ultrasound probe, where local deformations are corrected by block-based warping algorithm. Original SIFT algorithm is extended to 3D and improved by combining the SIFT detector with Rohr3D detector to extract complementary features and applying the diffusion distance algorithm for robust feature comparison. Extensive experiments have been performed on both phantom and clinical data sets to demonstrate the effectiveness and robustness of our approach.

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Year:  2009        PMID: 19524403     DOI: 10.1016/j.compmedimag.2009.05.006

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.

Authors:  Gadea Mata; Miroslav Radojević; Carlos Fernandez-Lozano; Ihor Smal; Niels Werij; Miguel Morales; Erik Meijering; Julio Rubio
Journal:  Neuroinformatics       Date:  2019-04

2.  A clinical system for three-dimensional extended-field-of-view ultrasound.

Authors:  E Dyer; U Zeeshan Ijaz; R Housden; R Prager; A Gee; G Treece
Journal:  Br J Radiol       Date:  2012-10       Impact factor: 3.039

3.  Nonrigid Registration of Brain Tumor Resection MR Images Based on Joint Saliency Map and Keypoint Clustering.

Authors:  Zhijun Gu; Binjie Qin
Journal:  Sensors (Basel)       Date:  2009-12-17       Impact factor: 3.576

  3 in total

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