Thomas BUELOW,Stewart YOUNG,Tanja NORDHOFF,Tim Philipp HARDER,Jan-Hendrik BUHK
申请号：
US16339053
公开号：
US20190244353A1
申请日:
2017.10.25
申请国别(地区):
US
年份:
2019
代理人:
摘要：
The present invention relates to a device and method for quality assessment of medical image datasets. To enable an automatic quality assessment of medical image datasets to identify potential errors or deviations that may be avoided in future imaging operations, the device comprises an image input (21) for obtaining medical image datasets together with respective acquisition information, each medical image dataset being acquired by scanning a field of view, FOV, of an examination object and the respective acquisition information representing information related to the acquisition of the respective medical image dataset； an image analysis unit (22) for comparing the FOV of an obtained medical image dataset with a reference FOV and for determining difference information indicating deviations of the FOV from the reference FOV； a correlation unit (23) for determining correlation information indicating correlations between the difference information determined for a plurality of obtained medical image datasets and the respective acquisition information； and an output unit (24) for issuing the determined correlation information.
