Literature DB >> 24315389

A semi-automated 3-D annotation method for breast ultrasound imaging: system development and feasibility study on phantoms.

Wei-wei Jiang1, An-hua Li2, Yong-Ping Zheng3.   

Abstract

Spatial annotation is an essential step in breast ultrasound imaging, because the follow-up diagnosis and treatment are based on this annotation. However, the current method for annotation is manual and highly dependent on the operator's experience. Moreover, important spatial information, such as the probe tilt angle, cannot be indicated in the clinical 2-D annotations. To solve these problems, we developed a semi-automated 3-D annotation method for breast ultrasound imaging. A spatial sensor was fixed on an ultrasound probe to obtain the image spatial data. Three-dimensional virtual models of breast and probe were used to annotate image locations. After the reference points were recorded, this system displayed the image annotations automatically. Compared with the conventional manual annotation method, this new annotation system has higher accuracy as indicated by the phantom test results. In addition, this new annotation method has good repeatability, with intra-class correlation coefficients of 0.907 (average variation: ≤3.45%) and 0.937 (average variation: ≤2.85%) for the intra-rater and inter-rater tests, respectively. Breast phantom experiments simulating clinical breast scanning further indicated the feasibility of this system for clinical applications. This new annotation method is expected to facilitate more accurate, intuitive and rapid breast ultrasound diagnosis.
Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Keywords:  3-D ultrasound; Annotation; Breast cancer; Breast imaging; Free-hand scanning

Mesh:

Year:  2013        PMID: 24315389     DOI: 10.1016/j.ultrasmedbio.2013.10.001

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  3 in total

1.  A real-time freehand 3D ultrasound imaging method for scoliosis assessment.

Authors:  Weiwei Jiang; Xianting Chen; Chaohao Yu
Journal:  J Appl Clin Med Phys       Date:  2022-06-24       Impact factor: 2.243

2.  Freehand three-dimensional ultrasound system for assessment of scoliosis.

Authors:  Chung-Wai James Cheung; Guang-Quan Zhou; Siu-Yin Law; Ka-Lee Lai; Wei-Wei Jiang; Yong-Ping Zheng
Journal:  J Orthop Translat       Date:  2015-06-26       Impact factor: 5.191

Review 3.  Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review.

Authors:  Ye-Jiao Mao; Hyo-Jung Lim; Ming Ni; Wai-Hin Yan; Duo Wai-Chi Wong; James Chung-Wai Cheung
Journal:  Cancers (Basel)       Date:  2022-01-12       Impact factor: 6.639

  3 in total

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