11:30 | 5432.
| VitaLenz: A Convolutional Neural Network for the Detection of Magnetic Resonance Imaging Artifacts Brian Johnson1, Joel Batey1, Dave Hitt1, Robert Lay1, Tom Lowe1, Michael Pawlak1, John Penatzer1, Elaine Petrilla1, Jim Snicer1, Marcie Stopchinski1, Greg Thomas1, Kristen Williams1, Paul Worthington1, and Jonathan Chia 1 1Philips, Cleveland, OH, United States Advances in MR
acceleration techniques have produced a paradigm shift
in MR productivity. In
addition, the integration of artificial intelligence offers even more
promise to integrate MR workflow and accelerate image acquisition. Recognizing the
absence of operator assisted technologies we created VitaLenz, a convolutional
neural network, to test the ability of artificial intelligence in detecting common MR imaging
artifacts. VitaLenz was able to identify common MR image artifacts with high sensitivity, accuracy, and speed. Creation and use of
this type of assistive technology can help ensure image quality and can also lead to faster clinical adoption of newer imaging
techniques. |
11:40 | 5433.
| MR-safety of mixed-brand of cardiac implantable electronic devices: Comparison of RF induced heating with approved single-brand at 1.5 T and 3.0 T Issei Fukunaga1, Shuhei Shibukawa1, Satoshi Yatsushiro2, Kazuya Tawara2, Toshiko Nakai3, Haruhiko Abe4, Shigeki Aoki5, Atsuko Miyajima6, and Kagayaki Kuroda7 1Department of Radiological Technology, Juntendo University, Tokyo, Japan, 2BioView, Inc., Tokyo, Japan, 3Department of Medicine, Division of Cardiology, Nihon University School of Medicine, Tokyo, Japan, 4Department of Medicine, University of Occupational and Environmental Health, Fukuoka, Japan, 5Department of Radiology, Juntendo University Hospital, Tokyo, Japan, 6Division of Medical Devices, National Institute of Health Sciences, Kanagawa, Japan, 7School of Information Science and Technology, Tokai University, Kanagawa, Japan Radio-frequency-induced
heating around MR-conditional cardiac implantable electronic devices with mixed
brand combinations of generator and lead were compared with the approved single
brand combinations at 1.5 T and 3.0 T. The generator-lead combinations were selected
from three high-share vendors (Boston Scientific, Medtronic, and St. Jude)
based on the frequency in clinical practice. Temperature measurements were
conducted along with ASTM2182 and ISO10974 at locations
corresponding to the right ventricle, right atrium, the generator edge, and contralateral
of in the ASTM phantom.
The results evaluated by Mann-Whitney's U-test showed no significant difference
in temperature increases between the mixed and approved combinations. |
11:50 | 5435. | Improving the patient experience for paediatrics in Magnetic Resonance Imaging through Play Therapy. Charlotte Elizabeth Swain1, Carolyn Costigan1, and Selene Rowe1 1MRI, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom Play Therapy has been shown to be a successful alternative
for children allowing them to have an MRI scan awake instead of with a general
anaesthetic. With funding through local hospital charities, a dedicated Play
Specialist List runs once a week to scan predominantly 3-13yr olds. With fun
and engaging play methods, it has been possible to acquire diagnostic images in
98% of children scanned. With no risk when compared to a general anaesthetic and
a more relaxed atmosphere and process, this has vastly improved the patient
experience, for not only the children, but also their parents/carers. |
11:50 | 5434.
| Efficient fat suppression and motion correction using a Dixon PROPELLER sequence with interleaved echoes and asymmetric readout waveforms Matea Borbas1, Mikael Skorpil2, and Henric Rydén3 1Karolinska University Hospital, Stockholm, Sweden, 2Karolinska Institutet, Stockholm, Sweden, 3Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden A novel fat/water separated Propeller Dixon sequence is described. Its performance is tested against fatsat. |