Tomography TRIZ Cases
- Biased Detector Sub-Module Stacking for Consistent CT Pixels
Overlapping mounting and circuit-connection substrates reduce detector-layer height differences, helping CT imaging maintain consistent pixel sizes and simplify processing.
- Motion-Aware Vascular Viewing Angles to Reduce Vessel Overlap
Simulated cardiac and respiratory motion guides vascular projection angles, reducing vessel overlap and foreshortening in acquired images.
- Photon-Counting X-Ray Dataset Generation with Coincidence Correction
Coincidence counting and computational correction reduce noise in photon-counting X-ray datasets while preserving high-flux capability and resolution.
- Direct-Conversion X-Ray Detector With Edge-Element Voltage Control
Local voltage control and end-element data exclusion help preserve image quality in direct-conversion X-ray detectors.
- 2D X-Ray Scatter Correction Using Auxiliary Collimator Images
Auxiliary images from small detector sub-regions enable rapid scatter estimation and correction without added hardware.
- Machine-Learned Collimator Settings for Interventional X-Ray
Machine learning completes partial collimator inputs from images, reducing manual adjustment time and repeated exposure during interventions.
- Ion Beam Gamma-Ray Detection with Edge-Coupled Scintillators
Edge-mounted photon sensors on stacked scintillator plates combine PET and Compton detection for real-time ion-beam dose and range verification.