Diagnostic performance of a novel deep learning attenuation correction software for MPI using a cardio dedicated CZT camera. Experience in the clinical practice.

Abstract

Authors

• Miguel Ochoa-Figueroa
  Department of Clinical Physiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Carlos Valera-Soria
  Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Christos Pagonis
  Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Marcus Ressner
  Department of Medical Physics, Linköping University Hospital, Linköping, Sweden.
• Pernilla Norberg
  Department of Medical Physics, Linköping University Hospital, Linköping, Sweden.
• Veronica Sanchez-Rodriguez
  Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden; Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Jeronimo Frias-Rose
  Department of Pathology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Elin Good
  Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
• Anette Davidsson
  Department of Clinical Physiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Keywords

External Resources