Ideen (IDs)

• NFTs for medical images (track ownership, track distribution)
• For deep learning segmentation use images reconstructed twice with different filters (edge preserving, smoothing) in training and application
• 4-eye mode for ML based diagnosis
• DLCT: Make every 2nd pixel in upper layer thinner
• Use 5G in medical imaging
• Kassenbon wird automatisch auf Handy übertragen
• Tantalum-Filter on tube for switching contrast of tantalum contrast agent
• Region-of-Interest MLIR
• 2D stereo anti scatter grid (smaller lamellae for z-direction)
• Stereo CT where detector is located asymmetrical along z
• Twin-beam CT: Use x-deflection for different spectra at central detector rows
• Use stereo for motion estimation
• Stereo Tube at beginning/end of helix

Submitted

• Use technetium for measurement of iodine contrast in ventricle
• Cardiac CT: Frequency split
• HD: Dual-Layer detector with different pixel sizes in each layer
• Use survey scan for detection of patient parts outside of SFOV
• Stereo-Tube with inplane shift of focal-spots
• x-ray tube with oscillating anode speed
• DART for EFOV
• Stereo CT with central collimator for full-scan acquisitions (intersection point at rotation axis)
• Use helical scout scan as start image for axial MLIR / detect motion (based on bone segmentation)
• Different slice thicknesses in SFOV and EFOV
• Use thresholded start image for MLIR