Denoising images rendered from scan data acquired by computed tomography (CT), including receiving CT scan data and generating a grid of pixels, for a first pixel channel, based at least in part on the CT scan data, each pixel having an associated radiance value. Methods include iteratively tracing a plurality of rays originating at a camera position based at least in part on radiance values of intersected pixels to produce a Monte Carlo estimate image and applying a denoising algorithm to the Monte Carlo estimate image to produce a denoised image. Methods further include determining one or more weights based at least in part on the Monte Carlo estimate image and the denoised image. Methods further include blending the Monte Carlo estimate image and the denoised image based at least in part on said one or more weights to produce a rendered image.

SYSTEMS AND METHODS FOR DENOISING IMAGES RENDERED FROM SCAN DATA ACQUIREDBY COMPUTED TOMOGRAPHY / Elena Denisova,Leonardo Bocchi. - (2024).

SYSTEMS AND METHODS FOR DENOISING IMAGES RENDERED FROM SCAN DATA ACQUIREDBY COMPUTED TOMOGRAPHY

Elena Denisova
Conceptualization
;
Leonardo Bocchi
Supervision
2024

Abstract

Denoising images rendered from scan data acquired by computed tomography (CT), including receiving CT scan data and generating a grid of pixels, for a first pixel channel, based at least in part on the CT scan data, each pixel having an associated radiance value. Methods include iteratively tracing a plurality of rays originating at a camera position based at least in part on radiance values of intersected pixels to produce a Monte Carlo estimate image and applying a denoising algorithm to the Monte Carlo estimate image to produce a denoised image. Methods further include determining one or more weights based at least in part on the Monte Carlo estimate image and the denoised image. Methods further include blending the Monte Carlo estimate image and the denoised image based at least in part on said one or more weights to produce a rendered image.
2024
Elena Denisova,Leonardo Bocchi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1389272
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