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

  • Ayush GoyalEmail author
  • Disha Bathla
  • Sai Durga Prasad Matla Leela Venkata Manikanta
  • Gahangir Hossain
  • Rajab Challoo
  • Ashwani K. Dubey
  • Anupama Bhan
  • Priya Ranjan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Segmentation Cardiac MRI Left ventricle Right ventricle 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ayush Goyal
    • 1
    Email author
  • Disha Bathla
    • 2
  • Sai Durga Prasad Matla Leela Venkata Manikanta
    • 1
  • Gahangir Hossain
    • 1
  • Rajab Challoo
    • 1
  • Ashwani K. Dubey
    • 2
  • Anupama Bhan
    • 2
  • Priya Ranjan
    • 2
  1. 1.Texas A&M University - KingsvilleKingsvilleUSA
  2. 2.Amity University Uttar PradeshNoidaIndia

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