I am currently conducting a cone-beam CT (CBCT) 3D reconstruction experiment. I generated projection data from a simulated 3D model and then used an iterative algorithm for the reconstruction.
TCT 435: Diagnostic Performance Of A Novel Artificial Intelligence (AI)-Based Coronary CT Angiography-Derived Ischaemia Algorithm (AI-QCTISCHEMIA) Across Major Coronary Vessels. Receive the the latest ...
ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...
A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics. By incorporating building structures into a Bayesian framework, the ...
CleaRecon DL receives 510(k) clearance and CE mark, paving the way for clinicians to use 3D image guidance technologies to their full potential with the goal of achieving better clinical and ...
Let a mouse nose around a house, and it will rapidly find food and form a strategy to return to it without getting caught. Given the same task, an AI would require millions of training examples and ...
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