Mobile Stroke Units and Pursuit of Intravenous Tissue-Type Plasminogen Activator Treatment in the Golden Hour

Tanaka, Kanta; Reeves, Mathew J.

doi:10.1161/strokeaha.122.041391

Cited by 1 publication

(1 citation statement)

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“…8 can be discretized and solved using a Predictor-Corrector (PC) approach [25]. Following [25], we used a reverse diffusion solver for the predictor (line 6 of Algorithm 1), where Δ𝜎 𝑡 2 is the discretized version of the continuous time-dependent noise variance differential, 𝑑𝜎 𝑡 2 /𝑑𝑡. The corrector was based on annealed Langevin Markov Chain Monte Carlo (MCMC) dynamics, using the expression in line 7 of Algorithm 1, where 𝜀 is a step size for the corrector update [25].…”

Section: ) Sampling Discretization and Implementationmentioning

confidence: 99%

Stationary x-ray tomography for hemorrhagic stroke imaging: sampling and resolution properties

Montes

McSkimming

Zbijewski

et al. 2022

7th International Conference on Image Formation in X-Ray Computed Tomography

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Hemorrhagic stroke accounts for up to 20% of all stroke cases, and requires a treatment pathway drastically different to ischemic stroke. Prompt triage is therefore crucial and often only attainable with neuroimaging for intracranial hemorrhage (ICH) evaluation, for which MDCT is the frontline modality. Availability of ICH dedicated imaging in the pre-hospital setting, with portable CT systems, would facilitate early ICH diagnosis. However, current CT or cone-beam CT (CBCT) approaches often use conventional x-ray sources mounted on a rotating gantry limiting their minimum weight and footprint. Recent advances on cold-cathode, compact x-ray sources, based on carbon nanotube (CNT) technology, enable the development of ultra-compact designs based on source-array arrangements on stationary configurations. However, such geometrical arrangements show limited angular sampling, and sparse, non-stationary, volume sampling.In this work we present first investigation of geometric configuration and effects of 3D sampling pertinent to the task of ICH detection on an ultra-portable stationary CBCT for ICH imaging. The baseline configuration included 31 CNT sources on a curved array illuminating a curved panel detector (871 mm length), on a compact geometrical configuration (SDD = 690 mm). Metrics of sampling completeness, sampling density, and MTF shape and band-width integral were explored for configurations varying in source angular span (30°-170°), source array and detector curvature radius (250 mm to flat), use of 2D matrix source arrangements, and multi-acquisition protocols. The results show that sufficient sampling and resolution can be achieved with a combination of moderate curvature (~450 mm radius) of the source array and detectors, with better sampling properties for approximately matched curvature radii (up to 30% BWI improvement). Improved image quality was demonstrated with configurations featuring matrix source arrangements in combination with multi-acquisition protocols (around a 6% of improvement in sampling completeness).

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Section: ) Sampling Discretization and Implementationmentioning

confidence: 99%