Publications by authors named "L C P Croton"
The ill-posed problem of phase retrieval in optics, using one or more intensity measurements, has a multitude of applications using electromagnetic or matter waves. Many phase retrieval algorithms are computed on pixel arrays using discrete Fourier transforms due to their high computational efficiency. However, the mathematics underpinning these algorithms is typically formulated using continuous mathematics, which can result in a loss of spatial resolution in the reconstructed images.
View Article and Find Full Text PDFBackground: Lung ultrasound (LUS) is a safe and non-invasive tool that can potentially assess regional lung aeration in newborn infants and reduce the need for X-ray imaging. LUS produces images with characteristic artifacts caused by the presence of air in the lung, but it is unknown if LUS can accurately detect changes in lung air volumes after birth. This study compared LUS images with lung volume measurements from high-resolution computed tomography (CT) scans to determine if LUS can accurately provide relative measures of lung aeration.
View Article and Find Full Text PDF. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT)..
View Article and Find Full Text PDFThis paper expands the linear iterative near-field phase retrieval (LIPR) formalism to achieve quantitative material thickness decomposition. Propagation-based phase contrast x-ray imaging with subsequent phase retrieval has been shown to improve the signal-to-noise ratio (SNR) by factors of up to hundreds compared to conventional x-ray imaging. This is a key step in biomedical imaging, where radiation exposure must be kept low without compromising the SNR.
View Article and Find Full Text PDFMaterial Decomposition Using Spectral Propagation-Based Phase-Contrast X-Ray Imaging.
IEEE Trans Med Imaging
December 2020
Article Synopsis
- - The paper discusses a method that enhances X-ray imaging by combining material decomposition with spectral phase-contrast imaging, aiming to reduce image noise and better visualize weakly attenuating objects.
- - An algorithm was developed that performs both material decomposition and noise reduction simultaneously, validated through simulations and tests on samples like aluminum and poly(methyl methacrylate).
- - The technique was successfully applied to an image of a rabbit kitten's lung, allowing for clear visualization of soft tissues without interference from the ribcage's bones, indicating its potential for future lung research and other applications.