Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy
The goal of this Special Issue is to disseminate emerging techniques and innovative solutions that comprehensively address unmet needs in cardiovascular disease and can be rapidly translated into the clinical arena in order to significantly improve diagnostic accuracy and precision in treatment deli...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Acesso em linha: | ONIX_20230511_9783036571003_47 |
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| _version_ | 1863747779223879680 |
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| collection | Directory of Open Access Books |
| description | The goal of this Special Issue is to disseminate emerging techniques and innovative solutions that comprehensively address unmet needs in cardiovascular disease and can be rapidly translated into the clinical arena in order to significantly improve diagnostic accuracy and precision in treatment delivery, as well as to enhance therapy guidance and procedural success. The volume includes research contributions from cross-disciplinary scientists and professionals who work in the cardiovascular field at the interface of basic and translational research, clinical practice, medical (bio)physics, engineering, mathematics, and computer science. Several compelling contributions are focused on the development of advanced techniques in cardiovascular imaging (MRI, CT, ultrasound, optics) to investigate structure–function interaction and identify pathology, image analysis (e.g. registration, segmentation, visualization), deep-learning/AI classification methods to better characterize tissue and physiological signals, novel preclinical experimental models and clinical approaches employed in electro-anatomical mapping and image-aided therapies (e.g., cardiac ablation, resynchronization), as well as innovative interventional procedures for vascular applications. |
| format | Online |
| id | doab-20.500.12854ir-100030 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1000302024-04-11T15:10:17Z Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy Pop, Mihaela Linte, Cristian A. cardiometabolic risk carotid intima-media thickness childhood obesity subclinical atherosclerosis reduced order model atrial fibrillation Circle of Willis variants cerebral blood flow sensitivity analysis cardiac MRI machine learning left ventricle segmentation cardiac function diffusion tensor imaging in vivo cDTI chronic infarction cardiac microstructure radial diffusivity swine infarction model cardiac image segmentation reliability and robustness deep learning cardiac magnetic resonance imaging inverse models data assimilation cardiovascular imaging image-based kinematics biomechanics tissue mechanics hemodynamics patient-specific models coronary vasculature lumped parameter model fractional flow reserve computational cardiology compounded echocardiography volume stitching 3D registration mosaicing 3D TEE mitral valve monogenic signal cardiac imaging multimodal electrophysiology biophysical modelling inverse problems parameter optimisation smoothed particle hydrodynamics meshless model cardiac resynchronization therapy CRT-EPiggy19 challenge cardiac radiofrequency ablation 3D-printing Layfomm-40 physical simulation simulation training thermochromic pigments cardiotoxicity MRI fibrosis chemotherapy doxorubicin voltage mapping arrhythmia augmentation cardiac segmentation domain invariant features disentangled representation generative adversarial network image quality mutual information reconstruction variational autoencoder n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The goal of this Special Issue is to disseminate emerging techniques and innovative solutions that comprehensively address unmet needs in cardiovascular disease and can be rapidly translated into the clinical arena in order to significantly improve diagnostic accuracy and precision in treatment delivery, as well as to enhance therapy guidance and procedural success. The volume includes research contributions from cross-disciplinary scientists and professionals who work in the cardiovascular field at the interface of basic and translational research, clinical practice, medical (bio)physics, engineering, mathematics, and computer science. Several compelling contributions are focused on the development of advanced techniques in cardiovascular imaging (MRI, CT, ultrasound, optics) to investigate structure–function interaction and identify pathology, image analysis (e.g. registration, segmentation, visualization), deep-learning/AI classification methods to better characterize tissue and physiological signals, novel preclinical experimental models and clinical approaches employed in electro-anatomical mapping and image-aided therapies (e.g., cardiac ablation, resynchronization), as well as innovative interventional procedures for vascular applications. 2023-05-11T17:17:28Z 2023-05-11T17:17:28Z 2023 book ONIX_20230511_9783036571003_47 9783036571003 9783036571010 https://directory.doabooks.org/handle/20.500.12854/100030 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7123 https://mdpi.com/books/pdfview/book/7123 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7101-0 10.3390/books978-3-0365-7101-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036571003 9783036571010 308 Basel open access |
| spellingShingle | cardiometabolic risk carotid intima-media thickness childhood obesity subclinical atherosclerosis reduced order model atrial fibrillation Circle of Willis variants cerebral blood flow sensitivity analysis cardiac MRI machine learning left ventricle segmentation cardiac function diffusion tensor imaging in vivo cDTI chronic infarction cardiac microstructure radial diffusivity swine infarction model cardiac image segmentation reliability and robustness deep learning cardiac magnetic resonance imaging inverse models data assimilation cardiovascular imaging image-based kinematics biomechanics tissue mechanics hemodynamics patient-specific models coronary vasculature lumped parameter model fractional flow reserve computational cardiology compounded echocardiography volume stitching 3D registration mosaicing 3D TEE mitral valve monogenic signal cardiac imaging multimodal electrophysiology biophysical modelling inverse problems parameter optimisation smoothed particle hydrodynamics meshless model cardiac resynchronization therapy CRT-EPiggy19 challenge cardiac radiofrequency ablation 3D-printing Layfomm-40 physical simulation simulation training thermochromic pigments cardiotoxicity MRI fibrosis chemotherapy doxorubicin voltage mapping arrhythmia augmentation cardiac segmentation domain invariant features disentangled representation generative adversarial network image quality mutual information reconstruction variational autoencoder n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title | Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title_full | Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title_fullStr | Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title_full_unstemmed | Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title_short | Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy |
| title_sort | emerging techniques in imaging modelling and visualization for cardiovascular diagnosis and therapy |
| topic | cardiometabolic risk carotid intima-media thickness childhood obesity subclinical atherosclerosis reduced order model atrial fibrillation Circle of Willis variants cerebral blood flow sensitivity analysis cardiac MRI machine learning left ventricle segmentation cardiac function diffusion tensor imaging in vivo cDTI chronic infarction cardiac microstructure radial diffusivity swine infarction model cardiac image segmentation reliability and robustness deep learning cardiac magnetic resonance imaging inverse models data assimilation cardiovascular imaging image-based kinematics biomechanics tissue mechanics hemodynamics patient-specific models coronary vasculature lumped parameter model fractional flow reserve computational cardiology compounded echocardiography volume stitching 3D registration mosaicing 3D TEE mitral valve monogenic signal cardiac imaging multimodal electrophysiology biophysical modelling inverse problems parameter optimisation smoothed particle hydrodynamics meshless model cardiac resynchronization therapy CRT-EPiggy19 challenge cardiac radiofrequency ablation 3D-printing Layfomm-40 physical simulation simulation training thermochromic pigments cardiotoxicity MRI fibrosis chemotherapy doxorubicin voltage mapping arrhythmia augmentation cardiac segmentation domain invariant features disentangled representation generative adversarial network image quality mutual information reconstruction variational autoencoder n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | cardiometabolic risk carotid intima-media thickness childhood obesity subclinical atherosclerosis reduced order model atrial fibrillation Circle of Willis variants cerebral blood flow sensitivity analysis cardiac MRI machine learning left ventricle segmentation cardiac function diffusion tensor imaging in vivo cDTI chronic infarction cardiac microstructure radial diffusivity swine infarction model cardiac image segmentation reliability and robustness deep learning cardiac magnetic resonance imaging inverse models data assimilation cardiovascular imaging image-based kinematics biomechanics tissue mechanics hemodynamics patient-specific models coronary vasculature lumped parameter model fractional flow reserve computational cardiology compounded echocardiography volume stitching 3D registration mosaicing 3D TEE mitral valve monogenic signal cardiac imaging multimodal electrophysiology biophysical modelling inverse problems parameter optimisation smoothed particle hydrodynamics meshless model cardiac resynchronization therapy CRT-EPiggy19 challenge cardiac radiofrequency ablation 3D-printing Layfomm-40 physical simulation simulation training thermochromic pigments cardiotoxicity MRI fibrosis chemotherapy doxorubicin voltage mapping arrhythmia augmentation cardiac segmentation domain invariant features disentangled representation generative adversarial network image quality mutual information reconstruction variational autoencoder n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230511_9783036571003_47 |