My name is Joshua Kaggie.
I am a physicist. I hold a PhD from Utah, USA and live Cambridge, UK.
I work in the field of medical imaging, particularly in Magnetic Resonance Imaging (MRI), with a focus on developing and advancing imaging techniques.
My work pushes the boundaries of MRI and medical imaging technologies and aims at practical applications that could significantly benefit medical diagnostics and research. My multidisciplinary approach, combines physics, electronics, machine learning, with clinical challenges to contribute to the field.
Education and Career:
- I completed my PhD in MRI methods with a focus on MRI hardware at the University of Utah. I have since moved to the University of Cambridge, where I have been working as an MRI Physicist and Senior Research Associate in the Department of Radiology since 2015.
Research Interests:
- My research spans several areas within MRI, including:
- Sodium MRI: I have made significant contributions to sodium imaging, particularly for breast imaging, and has developed techniques for better image quality and sensitivity.
- MR Fingerprinting: This technique aims to create faster imaging without increasing scan times, potentially revolutionizing clinical MRI scans.
- X-nuclei MRI: This involves imaging other atoms besides hydrogen, which can provide unique biochemical information.
- Machine Learning: He has applied machine learning for image analysis, including automated techniques for identifying knee tissues in MRI images.
- Sodium MRI: I have made significant contributions to sodium imaging, particularly for breast imaging, and has developed techniques for better image quality and sensitivity.
- He also engages in the development of RF coils and arrays, contributing to improved imaging resolution and sensitivity.
Notable Contributions:
- Kaggie has been involved in significant imaging projects, like the development of a sodium MRI for breast cancer, which have been some of the most impressive in the field.
- I have co-authored numerous publications on topics like osteoarthritis imaging, the integration of AI in clinical imaging trials, and various MRI techniques.
Public Engagement and Education:
- Joshua has engaged in public speaking, notably giving talks on imaging techniques, such as at Imperial College London for “Fast Quantitative Imaging with MR Fingerprinting” and on the International Day of Light, discussing the use of light in medicine.
Personal Insights:
- On my personal blog, I share insights into his work-life balance, the challenges of being both a generalist and a specialist in his field, and his hobbies, which include machine learning as a hobby, notably training AI for game-playing. (this is not true)
Patents:
- He has filed for patents related to improving circuit robustness through a method involving diodes and has contributed to dual resonant breast coil designs for sodium and proton MRI.
Check out my Google Scholar:
https://scholar.google.com/citations?user=nacW_2YAAAAJ&hl=en&oi=ao
Or my ORCID:
https://orcid.org/0000-0001-6706-3442
I currently manage the MRI equipment within the AMB. I have extensive track record of MRI and imaging publications (h-index:25; i10-index:42; orcid:0000-0001-6706-3442). My research includes over 66 peer-reviewed papers, one book, two book chapters, ranging on topics from non-proton MRI, such as carbon-13, MR physics / fingerprinting, deep learning, and radiofrequency coil developments.
I am a Category Chair for the European Molecular Imaging Meeting 2025. JDK. I represented junior researchers on a senior UoC committee to select the recently appointed Vice Chancellor. I represented East England within the UK Research Staff Association, and have participated in organising two national postdoctoral conferences to highlight research culture. I regularly review for MRI journals, including Magnetic Resonance in Medicine and NMR in Biomedicine.
I have contributed to panels at the Genomic Festival in London, the Glut1 Deficiency Foundation, and local science festivals.
We published the first deuterium metabolic imaging data at clinical field strength and compared this to HPC13.
Leaving an indelible mark on the landscape of tomorrow.
Punting in Cambridge
- Terrible weather.
- Look! No one else is out.
- I love those trees.
- I don’t understand how the photo is uncentered.
Gamma ray astrophysics
- An interesting photo.
- Cerenkov showers.
- A “green” valley in Amado.
- That’s a trailer next to the reflection of my knee.
MRI, AI and ME.
MRI stands for Magnetic Resonance Imaging.
AI is for Artificial Intelligence.
ME stands for Median Eminens, part of your prefrontal cortex.
What does that have to do with anything? weeellll…..
Nothing. This page will cover none of that.
This page is dedicated to nothing in particular, but perhaps there is something that you may find interesting here.
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