Healthcare Perspectives

Magnetic Resonance Imaging (MRI) has played a big role in shaping the healthcare industry’s approach to detection, monitoring, and tracking of medical conditions. Since its invention in the 1970s, a lot of improvements have been made to increase its performance and accessibility. As the industry continues to digitalize, we can expect more changes that will make MRIs more powerful and efficient.

The fifty-year history of MRI takes us from early plans scribbled on a napkin at a Pittsburgh Eat n’ Park in 1971, through developments to increase patient comfort and image quality in the 1980s, and into a future where AI can predict, survey, and manage a patient’s likelihood for dementia. In this special episode, Arthur Kaindl talks to experts in the field, Bruce Rosen, M.D., Franz Schmitt, Jürgen Hennig, and Vivek Muthurangu, M.D., about the recent and eventful history of MRI.

In today’s conversation, you’ll hear about the development of the first MRI machine and the challenges faced by the inventors. You’ll learn about the improvements that have been made and the impact that they’ve had on the healthcare industry, as well as what the future holds for MRI machines and what it’ll take to get there.

Some Questions Asked:

• Did you think that MRI was going to be a big innovation? (02:52)
• How did it feel seeing the results of a scan during the development stages? (06:56)
• What exactly can current MRI scanners help us see now that we couldn't see with earlier scanners? (13:11)
• When did you really start to see that certain problems in MRI needed fixing? (18:42)
• What role would you give to artificial intelligence in the future of MRI? (22:07)
• What have you found MRI clinicians need to do, especially when working with pediatric patients? (27:09)

What You’ll Learn in This Episode:

• How the first MRI scanner worked (04:28)
• The purpose of different MRI sounds (09:31)
• The role of MRI in the detection and tracking of neurodegenerative diseases (14:22)
• The impact of imaging technology on how we think about law and criminal behavior (17:13)
• How to make MRI scanners more accessible (24:30)
• The future of MRI scanners (28:46)

Connect with Dr. Bruce Rosen:

• LinkedIn

Connect with Franz Schmitt:

• LinkedIn

Connect with Jürgen Hennig:

• University Medical Center Freiburg

Connect with Vivek Muthurangu:

• Centre for Translational Cardiovascular Imaging

Connect with Arthur Kaindl:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

The invention of computed tomography (CT) was a very important milestone that improved diagnostic capabilities in the field of medicine. Though it was already seen as a game-changer and many improvements were made over the years, it was still limited by image quality and radiation dose, among other things, and not all patients could be diagnosed. This necessitated the development of the photon-counting CT that provides additional clinical information at a low radiation dose and for an increasing number of patients.

In this episode, André Hartung, President of Diagnostic Imaging at Siemens Healthineers, is joined by 4 guests: Anders Persson, Professor of Medical Image Science, Senior Radiologist, and Head of the Centre for Medical Image Science and Visualisation at Linköping University in Sweden; Fabian Bamberg, the Chair of the Department of Radiology at the University of Freiburg in Germany; Thomas Flohr, Head of CT Physics at Siemens Healthineers; and Christian Schröter from the Siemens Healthineers’ Crystal Centre.

Listen to this episode to learn about the limitations of traditional CT scanners and how modern scanners have overcome them. You’ll also hear about photon-counting and the impact it has on image quality. Additionally, you’ll find out the role that artificial intelligence  can play in sorting and analyzing the large amount of data that modern CT scanners produce.

Some Questions Asked:

●     What were the limitations of CT scanning? (01:10)

●     How do you see photon-counting impacting the radiation dose levels being applied? (09:13)

●     Why did the development of photon-counting scanners take so long? (13:17)

●     What is your view on photon-counting CT in the context of biomarker research? (22:05)

What You’ll Learn in This Episode:

●     How current CT scanners work (04:11)

●     How modern CT scanners solved the problem of blooming artifacts (07:43)

●     The benefits offered by modern CT scanners (09:58)

●     The importance of sharing ideas with external partners and institutions (24:41)

Connect with Fabian Bamberg:

●     LinkedIn

Connect with Thomas Flohr:

●     LinkedIn

Connect with André Hartung:

●     LinkedIn

Connect with Anders Persson:

●     LinkedIn

Hosted on Acast. See acast.com/privacy for more information.