Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks

Qazi, Maleeha; Fung, Glenn; Krishnan, Sriram; Rosales, Rómer; Steck, Harald; Rao, R. Bharat; Poldermans, Don; Chandrasekaran, Dhanalakshmi

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks

Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran

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Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 519-524.

Abstract

Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a completely automated and robust technique that detects diseased hearts based on detection and automatic tracking of the endocardium and epicardium of the LV. The local wall regions and the entire heart are then classified as normal or abnormal based on the regional and global LV wall motion. In order to leverage structural information about the heart we applied Bayesian Networks to this problem, and learned the relations among the wall regions off of the data using a structure learning algorithm. We checked the validity of the obtained structure using anatomical knowledge of the heart and medical rules as described by doctors. The resultant Bayesian Network classifier depends only on a small subset of numerical features extracted from dual-contours tracked through time and selected using a filterbased approach. Our numerical results confirm that our system is robust and accurate on echocardiograms collected in routine clinical practice at one hospital; our system is built to be used in real-time.

Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, and Dhanalakshmi Chandrasekaran. 2007. Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 519–524. https://ijcai.org/proceedings/2007/82

@inproceedings{ijcai2007p82,
  title     = {Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks},
  author    = {Qazi, Maleeha and Fung, Glenn and Krishnan, Sriram and Rosales, Rómer and Steck, Harald and Rao, R. Bharat and Poldermans, Don and Chandrasekaran, Dhanalakshmi},
  booktitle = {Proceedings of the Twentieth International Joint Conference on
               Artificial Intelligence, {IJCAI-07}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Ramon López de Mántaras},
  pages     = {519--524},
  year      = {2007},
  url       = {https://ijcai.org/proceedings/2007/82},
}

TY  - CPAPER
TI  - Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
AU  - Qazi, Maleeha
AU  - Fung, Glenn
AU  - Krishnan, Sriram
AU  - Rosales, Rómer
AU  - Steck, Harald
AU  - Rao, R. Bharat
AU  - Poldermans, Don
AU  - Chandrasekaran, Dhanalakshmi
T2  - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2007
SP  - 519
EP  - 524
UR  - https://ijcai.org/proceedings/2007/82
ER  -