Coronary Centerline Extraction from CCTA Using 3D-UNet
The mesh-type coronary model, obtained from three-dimensional reconstruction using the sequence of images produced by computed tomography (CT), can be used to obtain useful diagnostic information, such as extracting the projection of the lumen (planar development along an artery). In this paper, we...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/13/4/101 |
| _version_ | 1797537139772096512 |
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| author | Alexandru Dorobanțiu Valentin Ogrean Remus Brad |
| author_facet | Alexandru Dorobanțiu Valentin Ogrean Remus Brad |
| author_sort | Alexandru Dorobanțiu |
| collection | DOAJ |
| description | The mesh-type coronary model, obtained from three-dimensional reconstruction using the sequence of images produced by computed tomography (CT), can be used to obtain useful diagnostic information, such as extracting the projection of the lumen (planar development along an artery). In this paper, we have focused on automated coronary centerline extraction from cardiac computed tomography angiography (CCTA) proposing a 3D version of U-Net architecture, trained with a novel loss function and with augmented patches. We have obtained promising results for accuracy (between 90–95%) and overlap (between 90–94%) with various network training configurations on the data from the Rotterdam Coronary Artery Centerline Extraction benchmark. We have also demonstrated the ability of the proposed network to learn despite the huge class imbalance and sparse annotation present in the training data. |
| first_indexed | 2024-03-10T12:11:47Z |
| format | Article |
| id | doaj.art-ac485693cc374c018dff67a9460c9582 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T12:11:47Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-ac485693cc374c018dff67a9460c95822023-11-21T16:11:34ZengMDPI AGFuture Internet1999-59032021-04-0113410110.3390/fi13040101Coronary Centerline Extraction from CCTA Using 3D-UNetAlexandru Dorobanțiu0Valentin Ogrean1Remus Brad2Computer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550024 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550024 Sibiu, RomaniaComputer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, 550024 Sibiu, RomaniaThe mesh-type coronary model, obtained from three-dimensional reconstruction using the sequence of images produced by computed tomography (CT), can be used to obtain useful diagnostic information, such as extracting the projection of the lumen (planar development along an artery). In this paper, we have focused on automated coronary centerline extraction from cardiac computed tomography angiography (CCTA) proposing a 3D version of U-Net architecture, trained with a novel loss function and with augmented patches. We have obtained promising results for accuracy (between 90–95%) and overlap (between 90–94%) with various network training configurations on the data from the Rotterdam Coronary Artery Centerline Extraction benchmark. We have also demonstrated the ability of the proposed network to learn despite the huge class imbalance and sparse annotation present in the training data.https://www.mdpi.com/1999-5903/13/4/101CCTAcenterlinecoronary artery segmentationdeep learningU-NET |
| spellingShingle | Alexandru Dorobanțiu Valentin Ogrean Remus Brad Coronary Centerline Extraction from CCTA Using 3D-UNet Future Internet CCTA centerline coronary artery segmentation deep learning U-NET |
| title | Coronary Centerline Extraction from CCTA Using 3D-UNet |
| title_full | Coronary Centerline Extraction from CCTA Using 3D-UNet |
| title_fullStr | Coronary Centerline Extraction from CCTA Using 3D-UNet |
| title_full_unstemmed | Coronary Centerline Extraction from CCTA Using 3D-UNet |
| title_short | Coronary Centerline Extraction from CCTA Using 3D-UNet |
| title_sort | coronary centerline extraction from ccta using 3d unet |
| topic | CCTA centerline coronary artery segmentation deep learning U-NET |
| url | https://www.mdpi.com/1999-5903/13/4/101 |
| work_keys_str_mv | AT alexandrudorobantiu coronarycenterlineextractionfromcctausing3dunet AT valentinogrean coronarycenterlineextractionfromcctausing3dunet AT remusbrad coronarycenterlineextractionfromcctausing3dunet |