@article{pallenberg_automatic_2020,
	title = {Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization},
	volume = {15},
	issn = {1861-6429},
	url = {https://doi.org/10.1007/s11548-020-02238-4},
	doi = {10.1007/s11548-020-02238-4},
	abstract = {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.},
	pages = {1611--1617},
	number = {10},
	journaltitle = {International Journal of Computer Assisted Radiology and Surgery},
	shortjournal = {Int J {CARS}},
	author = {Pallenberg, René and Fleitmann, Marja and Soika, Kira and Stroth, Andreas Martin and Gerlach, Jan and Fürschke, Alexander and Barkhausen, Jörg and Bischof, Arpad and Handels, Heinz},
	urldate = {2021-03-22},
	date = {2020-10-01},
	langid = {english},
	file = {Springer Full Text PDF:C\:\\Users\\René\\Zotero\\storage\\MRNGAKY6\\Pallenberg et al. - 2020 - Automatic quality measurement of aortic contrast-e.pdf:application/pdf},
}