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Soft Computing and Signal Processing pp 1–11Cite as

A Graphical Computational Tool for Computerized Ventricular Extraction in Magnetic Resonance Cardiac Imaging

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 898))

Abstract

In this research, a graphical computational tool for segmenting the ventricles (both left ventricle and right ventricle) using images that are taken from cardiac MRI has been developed and tested. The purpose of this research is to develop a tool to aid cardiologists in the extraction of clinically relevant medical information such as ejection fraction and stroke volume from the patient’s cardiac MRI images. The tool has been developed to allow the user to load any cardiac MRI image and performs segmentation upon the click of a button. Moreover, along with all other above-mentioned features, it will provide a cardiac disease prediction framework for extracting clinically relevant medical information and clinical parameters from the patient’s cardiac MRI images and for assisting cardiologists and cardiac researchers for creating patient-specific personalized cardiac treatment plans based on the extracted cardiac parameters such as left ventricular ejection fraction and stroke volume.

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Author information

Authors and Affiliations

  1. Texas A&M University - Kingsville, Kingsville, TX, USA

    Ayush Goyal, Sai Durga Prasad Matla Leela Venkata Manikanta, Gahangir Hossain & Rajab Challoo

  2. Amity University Uttar Pradesh, Noida, UP, India

    Disha Bathla, Ashwani K. Dubey, Anupama Bhan & Priya Ranjan

Authors
  1. Ayush Goyal
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  2. Disha Bathla
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  3. Sai Durga Prasad Matla Leela Venkata Manikanta
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  4. Gahangir Hossain
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  5. Rajab Challoo
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  6. Ashwani K. Dubey
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  7. Anupama Bhan
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  8. Priya Ranjan
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Corresponding author

Correspondence to Ayush Goyal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering & Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

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Cite this paper

Goyal, A. et al. (2019). A Graphical Computational Tool for Computerized Ventricular Extraction in Magnetic Resonance Cardiac Imaging. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_1

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