Development of novel MRI methods as biomarkers for chronic kidney disease
Lead Research Organisation:
University of Nottingham
Department Name: Sch of Physics & Astronomy
Abstract
Studentship will develop novel mri methods for nephron imaging and establish mri biomarkers for chronic kidney disease at the centre for advanced imaging at the university of Queensland and the sir peter Mansfield imaging centre university of Nottingham
Areas of research include
Development of in vivo methods for clinical renal imaging at 3t mri and development of deep learning approach to identify mri biomarkers for chronic kidney disease
Development and validation of deep learning algorithms for nephron imaging using ex vivo high resolution and in vivo clinical imaging data and histology
Areas of research include
Development of in vivo methods for clinical renal imaging at 3t mri and development of deep learning approach to identify mri biomarkers for chronic kidney disease
Development and validation of deep learning algorithms for nephron imaging using ex vivo high resolution and in vivo clinical imaging data and histology
Organisations
People |
ORCID iD |
| Connor McIvor (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/R513283/1 | 30/09/2018 | 29/09/2023 | |||
| 2602932 | Studentship | EP/R513283/1 | 01/02/2022 | 30/08/2022 | Connor McIvor |