{

"title": "BasisSimulator.jl: GPU-native polychromatic CT and PCCT simulation, reconstruction, and virtual monoenergetic imaging in Julia",

"description": "GPU-native Julia framework for CT and photon-counting CT simulation, reconstruction, and quantitative spectral imaging. Provides exact Siddon ray-tracing forward projection, polychromatic Beer-Lambert physics with vendor-realistic detector response (MC-derived LUTs for GE Gemstone scintillator and Siemens NAEOTOM Alpha CdTe), FDK and hybrid iterative reconstruction, sinogram and image-domain beam-hardening correction, dual-kVp and PCCT material decomposition (Cong 2022, Alvarez-Macovski, PWLS), and virtual monoenergetic imaging (VMI + Grant 2014 Mono+) — all dispatching transparently across CPU, Metal, CUDA, and ROCm via AcceleratedKernels.jl.",

"creators": [

{

"name": "Black, Dale",

"affiliation": "University of California, Irvine — Molloi Lab",

"orcid": "0000-0002-9150-9827"

}

],

"license": "MIT",

"upload_type": "software",

"access_right": "open",

"keywords": [

"computed tomography",

"photon-counting CT",

"dual-energy CT",

"virtual monoenergetic imaging",

"VMI",

"Monte Carlo detector response",

"Siddon ray tracing",

"FDK reconstruction",

"material decomposition",

"GPU",

"Julia",

"scientific computing"

],

"communities": [

{ "identifier": "julia" }

],

"related_identifiers": [

{

"scheme": "doi",

"identifier": "10.5281/zenodo.20260565",

"relation": "requires",

"resource_type": "software"

}

]

}