6 research outputs found

    Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network

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    The accurate visualization and assessment of the complex cardiac and pulmonary structures in 3D is critical for the diagnosis and treatment of cardiovascular and respiratory disorders. Conventional 3D cardiac magnetic resonance imaging (MRI) techniques suffer from long acquisition times, motion artifacts, and limited spatiotemporal resolution. This study proposes a novel time-resolved 3D cardiopulmonary MRI reconstruction method based on spatial transformer networks (STNs) to reconstruct the 3D cardiopulmonary MRI acquired using 3D center-out radial ultra-short echo time (UTE) sequences. The proposed reconstruction method employed an STN-based deep learning framework, which used a combination of data-processing, grid generator, and sampler. The reconstructed 3D images were compared against the start-of-the-art time-resolved reconstruction method. The results showed that the proposed time-resolved 3D cardiopulmonary MRI reconstruction using STNs offers a robust and efficient approach to obtain high-quality images. This method effectively overcomes the limitations of conventional 3D cardiac MRI techniques and has the potential to improve the diagnosis and treatment planning of cardiopulmonary disorders

    Free-Breathing and Ungated Cardiac MRI Reconstruction Using a Deep Kernel Representation

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    Free-breathing and ungated cardiac MRI is a challenging problem due to the cardiac motion and respiration motion, which are not tracked. In this work, we propose an unsupervised deep kernel method for reconstructing real-time free-breathing and ungated cardiac MRI from highly undersampled k-t space measurements. We propose implementing the feature map and kernel function in the kernel method using CNNs. The parameters of the CNNs are learned from specific-subject data directly. Comparisons with state-of-the-art kernel methods show improved performance of the proposed deep kernel method

    Complete_Patient_data_2018-03-15 – Supplemental material for Recurrent Cardiology Evaluation for Innocent Heart Murmur: Echocardiogram Utilization

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    <p>Supplemental material, Complete_Patient_data_2018-03-15 for Recurrent Cardiology Evaluation for Innocent Heart Murmur: Echocardiogram Utilization by Nupur N. Dalal, Sanja Dzelebdzic, Lowell H. Frank, Sarah B. Clauss, Stephanie J. Mitchell, Othman A. Aljohani, Tyler Bradley-Hewitt and Ashraf S. Harahsheh in Clinical Pediatrics</p
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