Publications by authors named "R Cam"

In certain three-dimensional (3D) applications of photoacoustic computed tomography (PACT), including \textit{in vivo} breast imaging, hemispherical measurement apertures that enclose the object within their convex hull are employed for data acquisition. Data acquired with such measurement geometries are referred to as \textit{half-scan} data, as only half of a complete spherical measurement aperture is employed. Although previous studies have demonstrated that half-scan data can uniquely and stably reconstruct the sought-after object, no closed-form reconstruction formula for use with half-scan data has been reported.

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The aim of this study is to investigate the value of inflammatory markers for atrial fibrillation (AF) recurrence prediction after cryo-balloon ablation (CA). The study included 399 patients divided into two groups by AF recurrence after CA. Inflammatory markers including uric acid/albumin ratio (UAR), systemic immune inflammation index (SIII) and CRP/albumin ratio (CAR) were evaluated.

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Article Synopsis
  • * This study explores a scenario where a stable inverse mapping exists but isn't available analytically, allowing deep learning to approximate it and generalize well to new data, potentially offering insights into the true inverse formula.
  • * The focus is on reconstructing images from 'half-time' measurement data using a learned filtered backprojection method with a convolutional neural network, showing stability and effectiveness for varying data types and potential applications in advanced imaging techniques like photoacoustic computed tomography.
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Significance: Dynamic photoacoustic computed tomography (PACT) is a valuable imaging technique for monitoring physiological processes. However, current dynamic PACT imaging techniques are often limited to two-dimensional spatial imaging. Although volumetric PACT imagers are commercially available, these systems typically employ a rotating measurement gantry in which the tomographic data are sequentially acquired as opposed to being acquired simultaneously at all views.

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Significance: When developing a new quantitative optoacoustic computed tomography (OAT) system for diagnostic imaging of breast cancer, objective assessments of various system designs through human trials are infeasible due to cost and ethical concerns. In prototype stages, however, different system designs can be cost-efficiently assessed via virtual imaging trials (VITs) employing ensembles of digital breast phantoms, i.e.

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