# Magnets for medical applications

- Institution: CERN
- Department: CAS - CERN Accelerator School
- Speaker: Mauro Pivi
- Year: 2023
- Level: Graduate
- Language: English
- Subjects: Physics, Medicine and health, Business and management
- Source: [CERN](https://videos.cern.ch/record/3014068)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This lecture is an overview of Magnets for Medical Applications using Particle Accelerator. In the first part of the lecture we will give an introduction to different accelerators employed in hadron therapy to cure cancer as cyclotrons and synchrotrons. in the second part of the lecture, we will present the MedAustron experience including some of the aspects related to commissioning with beam and operating magnets for clinical operations. The MedAustron Particle Therapy Accelerator located in Austria delivers proton beams in the energy range 60-250 MeV and carbon ions 120-400 MeV/n for tumour treatment in three irradiation rooms. Proton beams up to 800 MeV are also provided to a separate room dedicated to research. Over the last years, in parallel to clinical operations, we have completed the installation and commissioning of the whole accelerator including a proton gantry beamline and the first world-wide rotator.

0:00:00 Slide 1

0:02:05 Slide 2

0:03:21 Slide 3

0:04:35 Slide 4

0:06:31 Slide 5

0:08:05 Slide 6

0:10:09 Slide 7

0:11:16 Slide 8

0:12:42 Slide 9

0:17:11 Slide 10

0:19:08 Slide 11

0:22:11 Slide 12

0:25:01 Slide 13

0:26:22 Slide 14

0:27:35 Slide 15

0:29:45 Slide 16

0:31:58 Slide 17

0:33:08 Slide 18

0:34:38 Slide 19

0:36:14 Slide 20

0:38:09 Slide 21

0:40:42 Slide 22

0:42:56 Slide 23

0:44:43 Slide 24

0:46:18 Slide 25

0:47:50 Slide 26

0:49:13 Slide 27

0:51:41 Slide 28

0:53:29 Slide 29

0:55:23 Slide 30

0:56:42 Slide 31

0:57:44 Slide 32

0:58:57 Slide 33

1:00:41 Slide 34

1:02:34 Slide 35

## Lectures

1. [Magnets for medical applications](https://invisiblenetwork.ai/learn/cern/3014068/8bbf8fff8a54), 1 h 6 min (CERN's player)
