Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization
- PDF / 1,589,631 Bytes
- 7 Pages / 595.276 x 790.866 pts Page_size
- 27 Downloads / 183 Views
ORIGINAL ARTICLE
Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization René Pallenberg1 · Marja Fleitmann1 · Kira Soika1 · Andreas Martin Stroth2 · Jan Gerlach2 · Alexander Fürschke2 · Jörg Barkhausen2 · Arpad Bischof2,3 · Heinz Handels1 Received: 13 January 2020 / Accepted: 14 July 2020 © The Author(s) 2020
Abstract Purpose Iodine-containing contrast agent (CA) used in contrast-enhanced CT angiography (CTA) can pose a health risk for patients. A system that adjusts the frequently used standard CA dose for individual patients based on their clinical parameters can be useful. As basis the quality of the image contrast in CTA volumes has to be determined, especially to recognize excessive contrast induced by CA overdosing. However, a manual assessment with a ROI-based image contrast classification is a time-consuming step in everyday clinical practice. Methods We propose a method to automate the contrast measurement of aortic CTA volumes. The proposed algorithm is based on the mean HU values in selected ROIs that were automatically positioned in the CTA volume. First, an automatic localization algorithm determines the CTA image slices for certain ROIs followed by the localization of these ROIs. A rule-based classification using the mean HU values in the ROIs categorizes images with insufficient, optimal and excessive contrast. Results In 95.89% (70 out of 73 CTAs obtained with the ulrich medical CT motion contrast media injector) the algorithm chose the same image contrast class as the radiological expert. The critical case of missing an overdose did not occur with a positive predicative value of 100%. Conclusion The resulting system works well within our range of considered scan protocols detecting enhanced areas in CTA volumes. Our work automized an assessment for classifying CA-induced image contrast which reduces the time needed for medical practitioners to perform such an assessment manually. Keywords CT angiography · Rule-based classification · Template matching · Personalized healthcare · Automatic ROI detection
Introduction Visualizing blood vessels for image diagnostics and interventional therapy in radiological examinations is a nonnegligible task carried out by performing a CT angiography (CTA). The CTA uses iodine-containing contrast agent (CA) to highlight target areas for the detection of pathological find-
B
Marja Fleitmann [email protected]
1
Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
2
Department of Radiology and Nuclear Medicine, UKSH Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
3
IMAGE Information Systems Europe, Lange Str. 16, 18055 Rostock, Germany
ings like aneurysms and aortic dissections [8]. However, the iodine contained in the CA can cause delayed allergic reactions, cutaneous reactions and contrast-induced nephropathy [1]. To reduce those risks patient-individual CA dose adjustments would be preferable over using a standard dose as in current c
Data Loading...
