Advanced Ultrasound and Photoacoustic Imaging in Cardiology
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/23/7947 |
| _version_ | 1797507224037228544 |
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| author | Min Wu Navchetan Awasthi Nastaran Mohammadian Rad Josien P. W. Pluim Richard G. P. Lopata |
| author_facet | Min Wu Navchetan Awasthi Nastaran Mohammadian Rad Josien P. W. Pluim Richard G. P. Lopata |
| author_sort | Min Wu |
| collection | DOAJ |
| description | Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs. |
| first_indexed | 2024-03-10T04:45:29Z |
| format | Article |
| id | doaj.art-79e1122b0cb24dbda0e66892700bef32 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T04:45:29Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-79e1122b0cb24dbda0e66892700bef322023-11-23T03:01:37ZengMDPI AGSensors1424-82202021-11-012123794710.3390/s21237947Advanced Ultrasound and Photoacoustic Imaging in CardiologyMin Wu0Navchetan Awasthi1Nastaran Mohammadian Rad2Josien P. W. Pluim3Richard G. P. Lopata4Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The NetherlandsPhotoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The NetherlandsPhotoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The NetherlandsMedical Image Analysis Group (IMAG/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The NetherlandsPhotoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The NetherlandsCardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs.https://www.mdpi.com/1424-8220/21/23/7947cardiovascular diseasesultrasound imagingphotoacoustic imagingsegmentationdeep learningvulnerable plaques |
| spellingShingle | Min Wu Navchetan Awasthi Nastaran Mohammadian Rad Josien P. W. Pluim Richard G. P. Lopata Advanced Ultrasound and Photoacoustic Imaging in Cardiology Sensors cardiovascular diseases ultrasound imaging photoacoustic imaging segmentation deep learning vulnerable plaques |
| title | Advanced Ultrasound and Photoacoustic Imaging in Cardiology |
| title_full | Advanced Ultrasound and Photoacoustic Imaging in Cardiology |
| title_fullStr | Advanced Ultrasound and Photoacoustic Imaging in Cardiology |
| title_full_unstemmed | Advanced Ultrasound and Photoacoustic Imaging in Cardiology |
| title_short | Advanced Ultrasound and Photoacoustic Imaging in Cardiology |
| title_sort | advanced ultrasound and photoacoustic imaging in cardiology |
| topic | cardiovascular diseases ultrasound imaging photoacoustic imaging segmentation deep learning vulnerable plaques |
| url | https://www.mdpi.com/1424-8220/21/23/7947 |
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