Research output per year
Research output per year
Project Details
Description
In collaboration with Aalborg University hospital we have and are developing image analysis methods for automatic quantification of stenotic rates in CABG bypass anastomoses using epicardial ultrasound. The aim of the project is to perform a fully automated quality assessment of bypass anastomoses to detect surgical errors and enable revision during the surgery.
| Short title | CABG image |
|---|---|
| Status | Active |
| Effective start/end date | 01/09/2011 → … |
Keywords
- Segmentation
- CABG
- Medical image analysis
- Quality assessment
- Epicardial Ultrasound
- Echoclip
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Research output
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A case report on epicardial ultrasonography of coronary anastomoses using a stabilizing device without the use of ultrasound gel
Andreasen, J. J., Nøhr, D. & Jørgensen, A. S., 13 Mar 2019, In: Journal of Cardiothoracic Surgery. 14, 1, p. 59 59.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)209 Downloads (Pure) -
An improved algorithm for coronary bypass anastomosis segmentation in epicardial ultrasound sequences
Jørgensen, A. S., Schmidt, S. E., Staalsen, N-H. & Østergaard, L. R., 2016, In: Ultrasound in Medicine & Biology. 42, 12, p. 3010-3021Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus) -
Automatic coronary artery bypass anastomosis segmentation in epicardial ultrasound
Jørgensen, A. S., Schmidt, S., Staalsen, N-H. & Østergaard, L. R., 2015, In: International Journal of Computer Assisted Radiology and Surgery. 10, Suppl. 1, p. S18-S19Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Press/Media
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Ny teknologi skal minimere fejl ved by pass-operationer
Alex Skovsbo Jørgensen
23/09/2015
3 items of Media coverage
Press/Media: Press / Media