Resolution and Noise Properties of 123I-MIBG SPECT Images with Collimator-detector Response Modeling

Jonathan B. Moody; INVIA

Description:
This conference presentation provides an overview of how Collimator-detector Response Modeling is being used to improve SPECT image quality.

Clinical Relevance:
Improving image quality is key for accurate diagnosis.

Conference Presentation

MORE INVIA RESEARCH

A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function

Summary

Diagnostic performance of ¹⁸F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantification

Summary

Self-supervised deep representation learning of a foundation transformer model enabling comprehensive ECG-based assessment of cardiovascular health with limited labeled data

Summary

Back to All Research

Resolution and Noise Properties of 123I-MIBG SPECT Images with Collimator-detector Response Modeling

Jonathan B. Moody; INVIA

A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function

Diagnostic performance of ¹⁸F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantification

Self-supervised deep representation learning of a foundation transformer model enabling comprehensive ECG-based assessment of cardiovascular health with limited labeled data

4DM Software

Customer Success

About INVIA

Back to All Research

Resolution and Noise Properties of 123I-MIBG SPECT Images with Collimator-detector Response Modeling

Jonathan B. Moody; INVIA

A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function

Diagnostic performance of ¹⁸F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantification

Self-supervised deep representation learning of a foundation transformer model enabling comprehensive ECG-based assessment of cardiovascular health with limited labeled data

Get in Touch.