Sep 2026· Physics in Medicine and Biology· Vol 71· 0 citations· 45 references
MedicinePhysics
TL;DR
It is shown how multi-spectral x-ray computed tomography and an empirical energy bin selection technique can quantitatively measure heterogeneous diffusive transport of cryoprotectants in a tissue surrogate and can quantitatively assess cryoprotectant loading protocols.
Abstract
Objective. To demonstrate that multi-spectral x-ray computed tomography (CT) and an empirical energy bin selection technique can quantitatively measure heterogeneous diffusive transport of cryoprotectants in a tissue surrogate. Approach. We let a ternary cryoprotectant cocktail composed of dimethyl sulfoxide (DMSO), glycerol, and water diffuse into a hydrogel designed to mimic the diffusion coefficient of human muscle. Photon counting multi-spectral x-ray CT (MSCT) is used to non-invasively quantify the spatiotemporal distribution of the cryoprotectants diffusing into the hydrogel tissue-surrogate phantom. An empirical photon-energy bin selection algorithm is developed to achieve sensitivity to low-contrast cryoprotectants without contrast agents or fluorescence edges. The technique is validated on uniformly mixed DMSO–glycerol–water solutions. Main results. We resolve cryoprotectant volume fractions to within 5% accuracy and observe heterogeneous diffusion of the cryoprotectants, a phenomenon not observable with energy-integrating x-ray CT techniques that are currently standard in cryoprotectant perfusion experiments. The developed photon-energy bin selection method outperforms energy bins selected by maximizing flux or maximizing attenuation contrast. Significance. Cryopreservation by vitrification holds promise for extending biological cryopreservation to tissues and potentially whole organs, but a key step—loading cryoprotectant chemicals—is not well understood in situ, leading to inconsistent and poor recovery. Insufficient cryoprotectant loading may lead to freezing, precluding successful recovery while over-loading results in chemical toxicity. Despite the importance of this step, existing in situ measurements of cryoprotectant permeation remain largely unvalidated and do not resolve individual cryoprotectant concentrations. We show how MSCT can provide experimental data for validating perfusion models, assess perfusion status during cryoprotectant loading, and can quantitatively assess cryoprotectant loading protocols.
Molecular imaging has been transformed by integrating positron emission tomography (PET) or single-photon emission computed tomography (SPECT) with x-ray computed tomography (CT). However, x-ray CT in hybrid imaging is used primarily for anatomical localization and for attenuation and scatter correction of emission dat...
Guo-Bao Wang, K. Thielemans, P. Noël et al.· arXiv.org· 0 citations
Objective. Spectral photon counting computed tomography (SPCCT) represents a major advancement in diagnostic imaging, with the potential to significantly enhance image contrast and resolution by leveraging photon-counting detectors. The integration of high atomic number nanoparticles (NPs), such as gadolinium fluoride...
Pia Akl, A. Gautheron, M. Antonuccio et al.· Physics in Medicine and Biol...· 0 citations
These results demonstrate that optimal filtration strategies for PCCT are material dependent, and provide guidance for filter selection at PCCT MD applications, particularly those involving tantalum contrast agents, dual-contrast protocols pairing low and high-Z materials, or high-energy virtual monoenergetic image rec...
J. D. Aubrey, E. P. Perkinson, Ge Wang et al.· Physics in Medicine and Biol...· 0 citations
Single-energy X-ray computed tomography (CT) enables repeated in-situ imaging of multiphase flow in centimeter-scale cores, but oil/water/gas three-phase saturation estimation remains underdetermined because each voxel provides only one gray-value response. With this study, we develop a three-phase saturation estimat...
Hai-Tong Sun, Ming Qu, Jing-Ge Zan· SPE Journal· 0 citations
Spectral photon-counting computed tomography (SPCCT) enables material-resolved imaging through K-edge discrimination, yet its application to multiplexed molecular mapping of human surgical specimens remains underexplored. Here, we report a clinically relevant multiplex K-edge imaging strategy and demonstrate its utilit...
Medical spectral imaging can not only show the geometric shapes of biological tissues, but also reveal their chemical and physical characteristics, making it a powerful tool for medical diagnosis. Although existing multispectral and hyperspectral imaging techniques can provide detailed biochemical and biophysical data,...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.