Publications by authors named "K Nieman"

Background: Recent photon-counting computed tomography (PCCT) development brings great opportunities for plaque characterization with much-improved spatial resolution and spectral imaging capability. While existing coronary plaque PCCT imaging results are based on CZT- or CdTe-materials detectors, deep-silicon photon-counting detectors offer unique performance characteristics and promise distinct imaging capabilities.

Purpose: This study aims to numerically investigate the feasibility of characterizing plaques with a deep-silicon PCCT scanner and to demonstrate its potential performance advantages over traditional CT scanners using energy-integrating detectors (EID).

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Article Synopsis
  • Non-invasive simulations for coronary hemodynamics enhance clinical decision-making and outcomes for patients with coronary artery disease, but existing methods often overlook individual patient differences and uncertainties in data.
  • The study introduces an uncertainty-aware pipeline that personalizes coronary flow simulations and predicts clinical outcomes with greater accuracy by integrating patient-specific coronary flows and addressing data uncertainties.
  • Utilizing advanced statistical methods, including adaptive Markov Chain Monte Carlo sampling and a novel combination of multi-fidelity Monte Carlo estimation, the framework demonstrates improved precision and reduced uncertainty in estimating cardiac functions and coronary flows compared to traditional methods.
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Background CT-derived fractional flow reserve (CT-FFR) and dynamic CT myocardial perfusion imaging enhance the specificity of coronary CT angiography (CCTA) for ruling out coronary artery disease (CAD). However, evidence on comparative diagnostic value remains scarce. Purpose To compare the diagnostic accuracy of CCTA plus CT-FFR, CCTA plus CT perfusion, and sequential CCTA plus CT-FFR and CT perfusion for detecting hemodynamically relevant CAD with that of invasive angiography.

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