Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

Anjan Gudigar; U. Raghavendra; Jyothi Samanth; Akhila Vasudeva; A. J. Ashwal; Krishnananda Nayak; Ru San Tan; Edward J. Ciaccio; Chui Ping Ooi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya

doi:10.3390/informatics9020034

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

Anjan Gudigar, U. Raghavendra^*, Jyothi Samanth, Akhila Vasudeva, A. J. Ashwal, Krishnananda Nayak, Ru San Tan, Edward J. Ciaccio, Chui Ping Ooi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

8 Citations (Scopus)

Abstract

The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart disease, for which timely intervention can improve the unborn child’s outcomes. In this regard, artificial intelligence (AI) can be used for the automatic analysis of fetal heart ultrasound images. This study reviews nondeep and deep learning approaches for assessing the fetal heart using standard four-chamber ultrasound images. The state-of-the-art techniques in the field are described and discussed. The compendium demonstrates the capability of automatic assessment of the fetal heart using AI technology. This work can serve as a resource for research in the field.

Original language	English
Article number	34
Journal	Informatics
Volume	9
Issue number	2
DOIs	https://doi.org/10.3390/informatics9020034
Publication status	Published - 06-2022

All Science Journal Classification (ASJC) codes

Communication
Human-Computer Interaction
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/informatics9020034

Cite this

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title = "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding",

abstract = "The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart disease, for which timely intervention can improve the unborn child{\textquoteright}s outcomes. In this regard, artificial intelligence (AI) can be used for the automatic analysis of fetal heart ultrasound images. This study reviews nondeep and deep learning approaches for assessing the fetal heart using standard four-chamber ultrasound images. The state-of-the-art techniques in the field are described and discussed. The compendium demonstrates the capability of automatic assessment of the fetal heart using AI technology. This work can serve as a resource for research in the field.",

author = "Anjan Gudigar and U. Raghavendra and Jyothi Samanth and Akhila Vasudeva and Ashwal, {A. J.} and Krishnananda Nayak and Tan, {Ru San} and Ciaccio, {Edward J.} and Ooi, {Chui Ping} and Barua, {Prabal Datta} and Filippo Molinari and Acharya, {U. Rajendra}",

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year = "2022",

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doi = "10.3390/informatics9020034",

language = "English",

volume = "9",

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T2 - A Systematic Understanding

AU - Gudigar, Anjan

AU - Raghavendra, U.

AU - Samanth, Jyothi

AU - Vasudeva, Akhila

AU - Ashwal, A. J.

AU - Nayak, Krishnananda

AU - Tan, Ru San

AU - Ciaccio, Edward J.

AU - Ooi, Chui Ping

AU - Barua, Prabal Datta

AU - Molinari, Filippo

AU - Acharya, U. Rajendra

PY - 2022/6

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N2 - The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart disease, for which timely intervention can improve the unborn child’s outcomes. In this regard, artificial intelligence (AI) can be used for the automatic analysis of fetal heart ultrasound images. This study reviews nondeep and deep learning approaches for assessing the fetal heart using standard four-chamber ultrasound images. The state-of-the-art techniques in the field are described and discussed. The compendium demonstrates the capability of automatic assessment of the fetal heart using AI technology. This work can serve as a resource for research in the field.

AB - The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart disease, for which timely intervention can improve the unborn child’s outcomes. In this regard, artificial intelligence (AI) can be used for the automatic analysis of fetal heart ultrasound images. This study reviews nondeep and deep learning approaches for assessing the fetal heart using standard four-chamber ultrasound images. The state-of-the-art techniques in the field are described and discussed. The compendium demonstrates the capability of automatic assessment of the fetal heart using AI technology. This work can serve as a resource for research in the field.

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Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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