Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.

Traditionally, cardiac image analysis is done manually. Automatic image processing can help with the repetitive tasks, and also deal with huge amounts of data, a task which would be humanly tedious. This study aims to develop a spectrum-based computer-aided tool to locate the left ventricle using im...

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Autores principales:	Liang Zhong, Jun-Mei Zhang, Xiaodan Zhao, Ru San Tan, Min Wan
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/891a3f7c8376424b803a7ffc8c5f1f0e
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spelling	oai:doaj.org-article:891a3f7c8376424b803a7ffc8c5f1f0e2021-11-18T08:23:59ZAutomatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.1932-620310.1371/journal.pone.0092382https://doaj.org/article/891a3f7c8376424b803a7ffc8c5f1f0e2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24722328/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Traditionally, cardiac image analysis is done manually. Automatic image processing can help with the repetitive tasks, and also deal with huge amounts of data, a task which would be humanly tedious. This study aims to develop a spectrum-based computer-aided tool to locate the left ventricle using images obtained via cardiac magnetic resonance imaging. Discrete Fourier Transform was conducted pixelwise on the image sequence. Harmonic images of all frequencies were analyzed visually and quantitatively to determine different patterns of the left and right ventricles on spectrum. The first and fifth harmonic images were selected to perform an anisotropic weighted circle Hough detection. This tool was then tested in ten volunteers. Our tool was able to locate the left ventricle in all cases and had a significantly higher cropping ratio of 0.165 than did earlier studies. In conclusion, a new spectrum-based computer aided tool has been proposed and developed for automatic left ventricle localization. The development of this technique, which will enable the automatic location and further segmentation of the left ventricle, will have a significant impact in research and in diagnostic settings. We envisage that this automated method could be used by radiographers and cardiologists to diagnose and assess ventricular function in patients with diverse heart diseases.Liang ZhongJun-Mei ZhangXiaodan ZhaoRu San TanMin WanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 4, p e92382 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Liang Zhong Jun-Mei Zhang Xiaodan Zhao Ru San Tan Min Wan Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
description	Traditionally, cardiac image analysis is done manually. Automatic image processing can help with the repetitive tasks, and also deal with huge amounts of data, a task which would be humanly tedious. This study aims to develop a spectrum-based computer-aided tool to locate the left ventricle using images obtained via cardiac magnetic resonance imaging. Discrete Fourier Transform was conducted pixelwise on the image sequence. Harmonic images of all frequencies were analyzed visually and quantitatively to determine different patterns of the left and right ventricles on spectrum. The first and fifth harmonic images were selected to perform an anisotropic weighted circle Hough detection. This tool was then tested in ten volunteers. Our tool was able to locate the left ventricle in all cases and had a significantly higher cropping ratio of 0.165 than did earlier studies. In conclusion, a new spectrum-based computer aided tool has been proposed and developed for automatic left ventricle localization. The development of this technique, which will enable the automatic location and further segmentation of the left ventricle, will have a significant impact in research and in diagnostic settings. We envisage that this automated method could be used by radiographers and cardiologists to diagnose and assess ventricular function in patients with diverse heart diseases.
format	article
author	Liang Zhong Jun-Mei Zhang Xiaodan Zhao Ru San Tan Min Wan
author_facet	Liang Zhong Jun-Mei Zhang Xiaodan Zhao Ru San Tan Min Wan
author_sort	Liang Zhong
title	Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
title_short	Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
title_full	Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
title_fullStr	Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
title_full_unstemmed	Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
title_sort	automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/891a3f7c8376424b803a7ffc8c5f1f0e
work_keys_str_mv	AT liangzhong automaticlocalizationoftheleftventriclefromcardiaccinemagneticresonanceimaginganewspectrumbasedcomputeraidedtool AT junmeizhang automaticlocalizationoftheleftventriclefromcardiaccinemagneticresonanceimaginganewspectrumbasedcomputeraidedtool AT xiaodanzhao automaticlocalizationoftheleftventriclefromcardiaccinemagneticresonanceimaginganewspectrumbasedcomputeraidedtool AT rusantan automaticlocalizationoftheleftventriclefromcardiaccinemagneticresonanceimaginganewspectrumbasedcomputeraidedtool AT minwan automaticlocalizationoftheleftventriclefromcardiaccinemagneticresonanceimaginganewspectrumbasedcomputeraidedtool
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Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.

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