Publications by authors named "Yan Chi Ivy Chan"
Article Synopsis
- Researchers explored ways to reduce radiation exposure from daily cone-beam computed tomography (CBCT) used in image-guided radiotherapy while maintaining image quality using deep learning algorithms.
- They tested three imaging dose levels (100%, 25%, 15%, and 10%) and used two models (cycleGAN and CUT) to create synthetic computed tomography (sCT) images from reduced dose CBCTs, specifically analyzing prostate cancer patient data.
- The results showed that cycleGAN outperformed CUT in terms of accuracy in delineating important anatomical structures, indicating that a 25% dose level is the minimum suitable imaging dose for effective radiotherapy.
Purpose: To develop and validate an accelerated free-breathing 3D whole-heart magnetic resonance angiography (MRA) technique using a radial k-space trajectory with compressed sensing and curvelet transform.
Method: A 3D radial phyllotaxis trajectory was implemented to traverse the centerline of k-space immediately before the segmented whole-heart MRA data acquisition at each cardiac cycle. The k-space centerlines were used to correct the respiratory-induced heart motion in the acquired MRA data.