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20232026
most citedA Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches

38 citations · 55 across the 19 of their papers we have counts for

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Showing 2025Show all

9 papers · 1 filter

eess.IV2025

Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model

Hang Xu, Alexandre Bousse, Alessandro Perelli

Dual-energy X-ray Computed Tomography (DECT) constitutes an advanced technology which enables automatic decomposition of materials in clinical images without manual segmentation us…

physics.med-ph2025★ 1 cited

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space

Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe +6

Attenuation correction (AC) is necessary for accurate activity quantification in positron emission tomography (PET). Conventional reconstruction methods typically rely on attenuati…

physics.med-ph2025

Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT

Antoine De Paepe, Alexandre Bousse, Clémentine Phung-Ngoc +2

Cone-beam computed tomography (CBCT) is an imaging modality widely used in head and neck diagnostics due to its accessibility and lower radiation dose. However, its relatively long…

physics.med-ph2025

Material Decomposition in Photon-Counting Computed Tomography with Diffusion Models: Comparative Study and Hybridization with Variational Regularizers

Corentin Vazia, Thore Dassow, Alexandre Bousse +6

Photon-counting computed tomography (PCCT) has emerged as a promising imaging technique, enabling spectral imaging and material decomposition (MD). However, images typically suffer…

physics.med-ph2025

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study

Jing Zhang, Alexandre Bousse, Chi-Hieu Pham +2

Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to administer a potent radiation dose specifically to cancer cells using cancer-targeting r…

physics.med-ph2025★ 2 cited

Dual-Input Dynamic Convolution for Positron Range Correction in PET Image Reconstruction

Youness Mellak, Alexandre Bousse, Thibaut Merlin +3

Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like gallium-68 (68 Ga). We introduce Dual-Input Dy…

physics.med-ph2025★ 6 cited

Evaluation of Deep Learning-based Scatter Correction on a Long-axial Field-of-view PET scanner

Baptiste Laurent, Alexandre Bousse, Thibaut Merlin +3

Objective: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher sensitivity, with an increased number of detected lines of response induced by a…

physics.med-ph2025

Joint Reconstruction of the Activity and the Attenuation in PET by Diffusion Posterior Sampling: a Feasibility Study

Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe +3

This study introduces a novel framework for joint reconstruction of the activity and the attenuation (JRAA) in positron emission tomography (PET) using diffusion posterior sampling…

physics.med-ph2025

Solving Blind Inverse Problems: Adaptive Diffusion Models for Motion-corrected Sparse-view 4DCT

Antoine De Paepe, Alexandre Bousse, Clémentine Phung-Ngoc +1

Four-dimensional computed tomography (4DCT) is essential for medical imaging applications like radiotherapy, which demand precise respiratory motion representation. Traditional met…