Subpixel x-ray imaging with an energy-resolving detector.
Mats PerssonStaffan HolminStaffan KarlssonHans BornefalkMats DanielssonPublished in: Journal of medical imaging (Bellingham, Wash.) (2018)
The detector pixel size can be a severe limitation in x-ray imaging of fine details in the human body. We demonstrate a method of using spectral x-ray measurements to image the spatial distribution of the linear attenuation coefficient on a length scale smaller than one pixel, based on the fact that interfaces parallel to the x-ray beam have a unique spectral response, which distinguishes them from homogeneous materials. We evaluate the method in a simulation study by simulating projection imaging of the border of an iodine insert with [Formula: see text] in a soft tissue phantom. The results show that the projected iodine profile can be recovered with an RMS resolution of 5% to 34% of the pixel size, using an ideal energy-resolving detector. We also validate this method in an experimental study by imaging an iodine insert in a polyethylene phantom using a photon-counting silicon-strip detector. The results show that abrupt and gradual transitions can be distinguished based on the transmitted x-ray spectrum, in good agreement with simulations. The demonstrated method may potentially be used for improving visualization of blood vessel boundaries, e.g., in acute stroke care.
Keyphrases
- dual energy
- image quality
- high resolution
- computed tomography
- monte carlo
- contrast enhanced
- palliative care
- soft tissue
- magnetic resonance imaging
- mass spectrometry
- optical coherence tomography
- deep learning
- quality improvement
- photodynamic therapy
- early onset
- pain management
- air pollution
- climate change
- affordable care act
- diffusion weighted imaging