NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI

(2020) NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI. Physica Medica-European Journal of Medical Physics. pp. 65-74. ISSN 1120-1797

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Abstract

Convolutional neural networks (CNNs) are extensively used in cardiac image analysis. However, heart localization has become a prerequisite to these networks since it decreases the size of input images. Accordingly, recent CNNs benefit from deeper architectures in gaining abstract semantic information. In the present study, a deep learning-based method was developed for heart localization in cardiac MR images. Further, Network in Network (NIN) was used as the region proposal network (RPN) of the faster R-CNN, and then NIN Faster-RCNN (NF-RCNN) was proposed. NIN architecture is formed based on "MLPCONV" layer, a combination of convolutional network and multilayer perceptron (MLP). Therefore, it could deal with the complicated structures of MR images. Furthermore, two sets of cardiac MRI dataset were used to evaluate the network, and all the evaluation metrics indicated an absolute superiority of the proposed network over all related networks. In addition, FROC curve, precision-recall (PR) analysis, and mean localization error were employed to evaluate the proposed network. In brief, the results included an AUC value of 0.98 for FROC curve, a mean average precision of 0.96 for precision-recall curve, and a mean localization error of 6.17 mm. Moreover, a deep learning-based approach for the right ventricle wall motion analysis (WMA) was performed on the first dataset and the effect of the heart localization on this algorithm was studied. The results revealed that NF-RCNN increased the speed and decreased the required memory significantly.

Item Type: Article
Keywords: Medical localization Cardiac magnetic resonance imaging Faster RCNN Convolutional networks DEEP SEGMENTATION EFFICIENT IMAGES
Subjects: WN Radiology. Diagnostic Imaging > WN 180-240 Diagnostic Imaging
Divisions: Medical Image and Signal Processing Research Center
School of Advanced Technologies in Medicine
Page Range: pp. 65-74
Journal or Publication Title: Physica Medica-European Journal of Medical Physics
Journal Index: ISI
Volume: 70
Identification Number: https://doi.org/10.1016/j.ejmp.2020.01.011
ISSN: 1120-1797
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/12931

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