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Thomas Kustner

3 accepted papers

2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging

ICASSP 2018accepted

Magnetic resonance (MR) plays an important role in medical imaging. It can be flexibly tuned towards different applications for deriving a meaningful diagnosis. However, its long acquisition times and flexible parametrization make it on the other hand prone to artifacts which obscure the underlying…

Cited by 0SourceScholar
2016

Active learning for magnetic resonance image quality assessment

ICASSP 2016accepted

In medical imaging, the acquired images are usually analyzed by a human observer and rated with respect to a diagnostic question. However, this procedure is time-demanding and expensive. Further more, the lack of a reference image makes this task challenging. In order to support the human observer i…

Cited by 0SourceScholar
2015

Combining Compressed Sensing with motion correction in acquisition and reconstruction for PET/MR

ICASSP 2015accepted

In the field of oncology, simultaneous Positron-Emission-Tomography/Magnetic Resonance (PET/MR) scanners offer a great potential for improving diagnostic accuracy. However, to achieve a high Signal-to-Noise Ratio (SNR) for an accurate lesion detection and quantification in the PET/MR images, one has…

Cited by 0SourceScholar