38 citations · 65 across the 13 of their papers we have counts for
7 papers · 1 filter
Patient-specific AI for generation of 3D dosimetry imaging from two 2D-planar measurements
Alejandro Lopez-Montes, Robert Seifert, Astrid Delker +6
In this work we explored the use of patient specific reinforced learning to generate 3D activity maps from two 2D planar images (anterior and posterior). The solution of this probl…
First Positronium Lifetime Imaging with Scandium-44 on a Long Axial Field-of-view PET/CT
Lorenzo Mercolli, William M. Steinberger, Pascal V. Grundler +12
Purpose: 44Sc has been successfully produced, synthesized, labeled and first-in-human studies were conducted some years ago. The decay properties of 44Sc, together with being close…
Positronium Imaging: History, Current Status, and Future Perspectives
Paweł Moskal, Aleksander Bilewicz, Manish Das +11
Positronium imaging was recently proposed to image the properties of positronium atoms in the patient body. Positronium properties depend on the size of intramolecular voids and ox…
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…
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…
Positronium Lifetime Imaging with the Biograph Vision Quadra using 124I
Lorenzo Mercolli, William M. Steinberger, Narendra Rathod +7
Purpose: Measuring the ortho-positronium (oPs) lifetime in human tissue bears the potential of adding clinically relevant information about the tissue microenvironment to conventio…
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi +4
Low-dose emission tomography (ET) plays a crucial role in medical imaging, enabling the acquisition of functional information for various biological processes while minimizing the…