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COME VISIT US AT
KCR 2023
September 20 - 23, 2023
COEX l Seoul, Korea
Booth
E52~53
직접 확인해 보세요
쓰시던 MRI 장비의 잠재력을 말이죠.
FDA 510(k) 승인
식품의약품안전처
신고 및 승인 완료
- Class B approved by the Vietnam Ministry of Health
- Class C approved by the Indonesia Ministry of Health
- Approved by Hong Kong MDD as Class II
- Approved by Malaysia MDA as Class B
- Notified to Brazil ANVISA as Class II
- Notified to Philippines FDA as Class B
- Cleared by UAE MOHAP as Medical Device
- Approved by 싱가포르 HSA as Class B
- Approved by Saudi Arabia SFDA as Class B
- Approved by Thailand TFDA as Class 2
- Included in the ARTG entry by Australian TGA as Class IIa
*SwiftMR의 향후 다른 지역에서의 가용성은 보장할 수 없습니다.
향후 규제 상태에 대한 모든 업데이트는 당사 웹사이트에서 확인할 수 있습니다.
Scientific Program
AI Scientific Program (AI SS 02)
AI for practice optimization
Sep. 21 (Thu), 14:00-15:30
Grand Ballroom 103, 1F
14:30-14:40
Prospective Validation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to Spin-Echo and Gradient-Echo Sequences
15:00-15:10
Deep Learning-based Intracranial TOF-MRA Reconstruction Reduces Scan Times and Improves Image Quality at 3T and 1.5T
15:10-15:20
High-Resolution Bone Image from shoulder MRI Using Deep Neural Network on 3-D Accelerated Dixon GRE (CAIPIRINHA Dixon)
Scientific Session (SS 19)
AI Stroke and vessels
Sep. 21 (Thu), 16:00-17:30
201, 2F
16:50-17:00
Application of deep-learning-based super-resolution image quality improvement on vessel wall imaging
Scientific Session (SS 23)
AI and image quality
Sep. 22 (Fri), 09:40-11:00
Grand Ballroom 102, 1F
09:40-09:50
Deep learning-based MR reconstruction improves robustness of brain volumetry in low-quality MR images
09:50-10:00
Deep learning-based intracranial TOF-MRA reconstruction reduces scan times and improves image quality at 3T and 1.5T
10:00-10:10
Prospective validation of accelerated brain MRI using deep learning-based reconstruction: simultaneous application to spin-echo and gradient-echo sequences
10:10-10:20
Accelerated cervical spine MRI with deep learning-based reconstruction algorithm: a prospective comparison with conventional MRI in the evaluation of degenerative diseases and myelopathy
10:20-10:30
Deep learning-based image reconstruction improves image quality and detection of hippocampal sclerosis in temporal lobe epilepsy
Scientific Session (SS 27)
AI in MSK imaging
Sep. 22 (Fri), 14:00-15:30
202, 2F
14:30-14:40
Prospective validation of accelerated brain MRI using deep learning-based reconstruction: simultaneous application to spin-echo and gradient-echo sequences
14:40-14:50
Enhancing radiomic feature correlations and reproducibility in knee MRI by deep learning-based MR reconstruction
Scientific Session (SS 39)
CSF analysis and others
Sep. 23 (Sat), 16:00-17:30
Grand Ballroom 103, 1F (Room 3)
17:10-17:20
Pitfalls of normative percentile analysis with different racial groups in MRI brain volumetry