Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network
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 arti...
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-08-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023712?viewType=HTML |
| _version_ | 1797691042110111744 |
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| author | Qing Zou Zachary Miller Sanja Dzelebdzic Maher Abadeer Kevin M. Johnson Tarique Hussain |
| author_facet | Qing Zou Zachary Miller Sanja Dzelebdzic Maher Abadeer Kevin M. Johnson Tarique Hussain |
| author_sort | Qing Zou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T02:08:46Z |
| format | Article |
| id | doaj.art-fef73fedb12e4a6ca872bab2813e23a5 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-03-12T02:08:46Z |
| publishDate | 2023-08-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-fef73fedb12e4a6ca872bab2813e23a52023-09-07T01:13:26ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-08-01209159821599810.3934/mbe.2023712Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer networkQing Zou0Zachary Miller1 Sanja Dzelebdzic 2Maher Abadeer3Kevin M. Johnson4Tarique Hussain51. Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA 2. Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA 3. Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA4. Department of Biomedical Engineering, University of Wisconsin, Madison, WI, USA1. Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA1. Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA5. Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA 6. Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA1. Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA 2. Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA 3. Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USAThe 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.https://www.aimspress.com/article/doi/10.3934/mbe.2023712?viewType=HTMLcardiopulmonary mrispatial transformer network3d ute sequence |
| spellingShingle | Qing Zou Zachary Miller Sanja Dzelebdzic Maher Abadeer Kevin M. Johnson Tarique Hussain Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network Mathematical Biosciences and Engineering cardiopulmonary mri spatial transformer network 3d ute sequence |
| title | Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network |
| title_full | Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network |
| title_fullStr | Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network |
| title_full_unstemmed | Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network |
| title_short | Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network |
| title_sort | time resolved 3d cardiopulmonary mri reconstruction using spatial transformer network |
| topic | cardiopulmonary mri spatial transformer network 3d ute sequence |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023712?viewType=HTML |
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