Article

The Effects of Mismatch between SPECT and CT Images on Quantitative Activity Estimation – A Simulation Study

2021-06-22

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Quantitative activity estimation is essential in targeted radionuclide therapy dosimetry. Misregistration between SPECT and CT images at the same imaging time point due to patient movement degrades accuracy. This work aims to study the mismatch effects between CT and SPECT data on attenuation correction (AC), volume-of-interest (VOI) delineation and registration...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6f22000f-21b4-5f70-b5a5-6f0576bf7ba8
DOI: 10.21203/rs.3.rs-619011/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The Effects of Mismatch between SPECT and CT Images on Quantitative Activity Estimation – A Simulation StudyDOI 10.21203/rs.3.rs-619011/v1Read

Accuracy and uncertainty analysis of reduced time point imaging effect on time-integrated activity for 177Lu-DOTATATE PRRT in clinical patients and realistic simulationsSemantic proximity Read

Exploration of Optimal Reconstruction Parameters for 18F-FDG Total-body PET/CT with Ultra-low Activity InjectionSemantic proximity Read

Combining Clinical LAFOV PET/CT with a Digital Twin Providing Motion-Free Ground Truth Reveals Quantitative Trade-offs in Respiratory Motion CorrectionSemantic proximity Read

Accuracy of deep learning-based attenuation correction in 99mTc-GSA SPECT/CT hepatic imagingSemantic proximity Read

MuPET (Multiphysics PET): Bridging Computational Mass Transport Physics and Medical Imaging for Synthetic Positron Emission Tomography Data GenerationSemantic proximity Read

Impact of posture change on patient-specific absorbed dose estimation in nuclear medicineSemantic proximity Read

Clinical implementation of PLANET®Dose for dosimetric assessment after [177Lu]Lu-DOTA-TATE: comparison with Dosimetry Toolkit® and OLINDA/EXM® V1.0Semantic proximity Read

Quantitative Dixon-Based PDFF and R2* Estimation and Optimization on MR-Simulation and MR-Linac Devices for the Pelvis and Head and Neck: A Prospective R-IDEAL Stage 0-2a StudySemantic proximity Read

DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging ResolutionSemantic proximity Read

Bias Evaluation and Reduction in 3D OP-OSEM Reconstruction in Dynamic Equilibrium PET StudiesSemantic proximity Read

GAN-based bone suppression imaging for high-accurate markerless motion tracking of lung tumors in CyberKnife treatmentSemantic proximity Read

Dual Energy Imaging for Optimisation of P/V Ratios in VP SPECTSemantic proximity Read