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Guideline-based learning for standard plane extraction in 3-D echocardiography
The extraction of six standard planes in 3-D cardiac ultrasound plays an important role in clinical examination to analyze cardiac function. A guideline-based learning method for efficient and accurate standard plane extraction is proposed. A cardiac ultrasound guideline determines appropriate opera...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245496/ https://www.ncbi.nlm.nih.gov/pubmed/30840749 http://dx.doi.org/10.1117/1.JMI.5.4.044503 |
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author | Zhu, Peifei Li, Zisheng |
author_facet | Zhu, Peifei Li, Zisheng |
author_sort | Zhu, Peifei |
collection | PubMed |
description | The extraction of six standard planes in 3-D cardiac ultrasound plays an important role in clinical examination to analyze cardiac function. A guideline-based learning method for efficient and accurate standard plane extraction is proposed. A cardiac ultrasound guideline determines appropriate operation steps for clinical examinations. The idea of guideline-based learning is incorporating machine learning approaches into each stage of the guideline. First, Hough forest with hierarchical search is applied for 3-D feature point detection. Second, initial planes are determined using anatomical regularities according to the guideline. Finally, a regression forest integrated with constraints of plane regularities is applied for refining each plane. The proposed method was evaluated on a 3-D cardiac ultrasound dataset and a synthetic dataset. Compared with other plane extraction methods, it demonstrated an improved accuracy with a significantly faster running time of [Formula: see text]. Furthermore, it showed the proposed method was robust for a range abnormalities and image qualities, which would be seen in clinical practice. |
format | Online Article Text |
id | pubmed-6245496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-62454962019-11-20 Guideline-based learning for standard plane extraction in 3-D echocardiography Zhu, Peifei Li, Zisheng J Med Imaging (Bellingham) Computer-Aided Diagnosis The extraction of six standard planes in 3-D cardiac ultrasound plays an important role in clinical examination to analyze cardiac function. A guideline-based learning method for efficient and accurate standard plane extraction is proposed. A cardiac ultrasound guideline determines appropriate operation steps for clinical examinations. The idea of guideline-based learning is incorporating machine learning approaches into each stage of the guideline. First, Hough forest with hierarchical search is applied for 3-D feature point detection. Second, initial planes are determined using anatomical regularities according to the guideline. Finally, a regression forest integrated with constraints of plane regularities is applied for refining each plane. The proposed method was evaluated on a 3-D cardiac ultrasound dataset and a synthetic dataset. Compared with other plane extraction methods, it demonstrated an improved accuracy with a significantly faster running time of [Formula: see text]. Furthermore, it showed the proposed method was robust for a range abnormalities and image qualities, which would be seen in clinical practice. Society of Photo-Optical Instrumentation Engineers 2018-11-20 2018-10 /pmc/articles/PMC6245496/ /pubmed/30840749 http://dx.doi.org/10.1117/1.JMI.5.4.044503 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Computer-Aided Diagnosis Zhu, Peifei Li, Zisheng Guideline-based learning for standard plane extraction in 3-D echocardiography |
title | Guideline-based learning for standard plane extraction in 3-D echocardiography |
title_full | Guideline-based learning for standard plane extraction in 3-D echocardiography |
title_fullStr | Guideline-based learning for standard plane extraction in 3-D echocardiography |
title_full_unstemmed | Guideline-based learning for standard plane extraction in 3-D echocardiography |
title_short | Guideline-based learning for standard plane extraction in 3-D echocardiography |
title_sort | guideline-based learning for standard plane extraction in 3-d echocardiography |
topic | Computer-Aided Diagnosis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245496/ https://www.ncbi.nlm.nih.gov/pubmed/30840749 http://dx.doi.org/10.1117/1.JMI.5.4.044503 |
work_keys_str_mv | AT zhupeifei guidelinebasedlearningforstandardplaneextractionin3dechocardiography AT lizisheng guidelinebasedlearningforstandardplaneextractionin3dechocardiography |