Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography
Congenital anomalies of the coronary ostia can lead to sudden death. A screening solution would be useful to prevent adverse outcomes for the affected individuals. To be considered for integration into clinical routine, such a procedure must meet strict constraints in terms of invasiveness, time and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-10-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/4/11/124 |
| _version_ | 1811239711226724352 |
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| author | Bernhard Stimpel Jens Wetzl Christoph Forman Michaela Schmidt Andreas Maier Mathias Unberath |
| author_facet | Bernhard Stimpel Jens Wetzl Christoph Forman Michaela Schmidt Andreas Maier Mathias Unberath |
| author_sort | Bernhard Stimpel |
| collection | DOAJ |
| description | Congenital anomalies of the coronary ostia can lead to sudden death. A screening solution would be useful to prevent adverse outcomes for the affected individuals. To be considered for integration into clinical routine, such a procedure must meet strict constraints in terms of invasiveness, time and user interaction. Imaging must be fast and seamlessly integrable into the clinical process. Non-contrast enhanced coronary magnetic resonance angiography (MRA) is well suited for this. Furthermore, planar reformations proved effective to reduce the acquired volumetric datasets to 2D images. These usually require time consuming user interaction, though. To fulfill the aforementioned challenges, we present a fully automated solution for imaging and reformatting of the proximal coronary arteries which enables rapid screening of these. The proposed pipeline consists of: (I) highly accelerated single breath-hold MRA data acquisition, (II) coronary ostia detection and vessel centerline extraction, and (III) curved planar reformation of the proximal coronary arteries, as well as multiplanar reformation of the coronary ostia. The procedure proved robust and effective in ten volunteer data sets. Imaging of the proximal coronary arteries took <inline-formula> <math display="inline"> <semantics> <mrow> <mn>24</mn> <mo>±</mo> <mn>5</mn> <mspace width="0.166667em"></mspace> </mrow> </semantics> </math> </inline-formula> s and was successful within one breath-hold for all patients. The extracted centerlines achieve an overlap of 0.76 ± 0.18 compared to the reference standard and the average distance of the centerline points from the spherical surface for reformation was 1.1 ± 0.51 mm. The promising results encourage further experiments on patient data, particularly in coronary ostia anomaly screening. |
| first_indexed | 2024-04-12T13:05:57Z |
| format | Article |
| id | doaj.art-6f8688f20a1943f681289cdec94d1090 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-04-12T13:05:57Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-6f8688f20a1943f681289cdec94d10902022-12-22T03:32:01ZengMDPI AGJournal of Imaging2313-433X2018-10-0141112410.3390/jimaging4110124jimaging4110124Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR AngiographyBernhard Stimpel0Jens Wetzl1Christoph Forman2Michaela Schmidt3Andreas Maier4Mathias Unberath5Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanyPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanySiemens Healthcare GmbH, Magnetic Resonance, 91052 Erlangen, GermanySiemens Healthcare GmbH, Magnetic Resonance, 91052 Erlangen, GermanyPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanyPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, GermanyCongenital anomalies of the coronary ostia can lead to sudden death. A screening solution would be useful to prevent adverse outcomes for the affected individuals. To be considered for integration into clinical routine, such a procedure must meet strict constraints in terms of invasiveness, time and user interaction. Imaging must be fast and seamlessly integrable into the clinical process. Non-contrast enhanced coronary magnetic resonance angiography (MRA) is well suited for this. Furthermore, planar reformations proved effective to reduce the acquired volumetric datasets to 2D images. These usually require time consuming user interaction, though. To fulfill the aforementioned challenges, we present a fully automated solution for imaging and reformatting of the proximal coronary arteries which enables rapid screening of these. The proposed pipeline consists of: (I) highly accelerated single breath-hold MRA data acquisition, (II) coronary ostia detection and vessel centerline extraction, and (III) curved planar reformation of the proximal coronary arteries, as well as multiplanar reformation of the coronary ostia. The procedure proved robust and effective in ten volunteer data sets. Imaging of the proximal coronary arteries took <inline-formula> <math display="inline"> <semantics> <mrow> <mn>24</mn> <mo>±</mo> <mn>5</mn> <mspace width="0.166667em"></mspace> </mrow> </semantics> </math> </inline-formula> s and was successful within one breath-hold for all patients. The extracted centerlines achieve an overlap of 0.76 ± 0.18 compared to the reference standard and the average distance of the centerline points from the spherical surface for reformation was 1.1 ± 0.51 mm. The promising results encourage further experiments on patient data, particularly in coronary ostia anomaly screening.https://www.mdpi.com/2313-433X/4/11/124magnetic resonance angiographycoronary arterycomputer-aided detection and diagnosisplanar reformation |
| spellingShingle | Bernhard Stimpel Jens Wetzl Christoph Forman Michaela Schmidt Andreas Maier Mathias Unberath Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography Journal of Imaging magnetic resonance angiography coronary artery computer-aided detection and diagnosis planar reformation |
| title | Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography |
| title_full | Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography |
| title_fullStr | Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography |
| title_full_unstemmed | Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography |
| title_short | Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography |
| title_sort | automated curved and multiplanar reformation for screening of the proximal coronary arteries in mr angiography |
| topic | magnetic resonance angiography coronary artery computer-aided detection and diagnosis planar reformation |
| url | https://www.mdpi.com/2313-433X/4/11/124 |
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