Artificial Intelligence (AI) boosted MR is now benefiting customers globally
Learn how customers around the world are experiencing the power of Advanced intelligent Clear-IQ Engine (AiCE) with customer testimonial videos, academic white papers and seminar reports.
Customer Presentation
Customer Voice
Deep Learning Reconstruction Customer Experience
White papers
CASE STUDY:
New Normal with AI
Deep Learning Reconstruction in MRI in a “With-COVID-19” Era: Uncovering its True Clinical Value
- Masato Uno
- Chief of Radiological Technologist, Department of Radiology,
- Nishijin Hospital, Japan
CASE STUDY:
Advanced Intelligent Clear-IQ Engine (AiCE) Improves Image Quality and Scan Times
- Dr. Keita Satoyoshi
- Chief, Department of Radiology, Samukawa Hospital, Japan
CUSTOMER EXPERIENCE:
Flexible protocol optimization with Advanced intelligent Clear-IQ Engine (AiCE) and Compressed SPEEDER
- Tommi Jauhiainen
- Radiologist and CEO of Helsingin Magneettikuvaus
CASE STUDY:
High-Definition Images Obtained Using Advanced intelligent Clear-IQ Engine (AiCE) Improve Diagnostic Capabilities
- Dr. Takahiro Ueda
- Senior Assistant Professor,
- Department of Radiology,
- Fujita Health University Bantane Hospital
CASE STUDY:
Advanced intelligent Clear-IQ Engine (AiCE) Permits Diagnosis Using 1.5T Images That Are Comparable to Images Acquired at 3T
- Hiroshi Nakamura
- Deputy Head of Diagnostic Radiology,
- Shin Koga Hospital, Japan
CASE STUDY:
Significantly Shorter Scan Times With No degradation Image Quality Achieved With Advanced intelligent Clear-IQ Engine (AiCE)
- Tomoaki Oshita
- Radiological Technologist,
- Department of Radiology,
- Municipal Ozu Hospital, Japan
WHITE PAPER:
Combination of Compressed SPEEDER and Advanced intelligent Clear-IQ Engine (AiCE): A clinical evaluation on knee pathologies
- Xavier Alomar, M.D.
- Head of Radiology,
- Clínica Creu Blanca, Barcelona, Spain
- Elena Ferre
- Chief of Radiographers
- Clínica Creu Blanca, Barcelona, Spain
SEMINAR REPORT:
Reconsidering “Standard MR Images”: What Are the Ideal MR Images for Diagnosing Lesions in the Central Nervous System?
- Toshiaki Taoka, M.D., Ph.D.
- Department of Innovative Biomedical Visualization (iBMV), Graduate School of Medicine, Nagoya University
SEMINAR REPORT:
Next-Generation Clinical Images Acquired Using ZGO in the Field of Orthopedics
- Takahide Kakigi, M.D., Ph.D.
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
SEMINAR REPORT:
Breakthroughs in MRI Scanning Made Possible by Artificial Intelligence
- Hideki Ota, M.D., Ph.D.
- Department of Advanced MRI Collaboration Research,
- Tohoku University Graduate School of Medicine
CASE STUDY:
3D Welcome Pack with Advanced intelligent Clear-IQ Engine (AiCE): a standardized 3D brain MR examination with 6 sequences in 6 minutes
- Vincent Dousset, M.D., Ph.D. (PU-PH)
- Director of IBIO
- University of Bordeaux and University Hospital of Bordeaux
CASE STUDY:
Welcome Pack: a standardized brain MR examination with six sequences in less than 5 minutes
- Vincent Dousset, M.D., Ph.D. (PU-PH)
- Director of IBIO
- University of Bordeaux and University Hospital of Bordeaux
WHITE PAPER:
Deep Learning Reconstruction in Clinical MRI:
a new realm combining ultra-high resolution and increased productivity
- Garry E. Gold, M.D., Ph.D.
- Clinical radiologist and researcher
- Past president of the International Society for Magnetic Resonance in Medicine (ISMRM) and the Society of Computed Body Tomography and Magnetic Resonance (SCBT/MR)
CUSTOMER VOICE:
Deep Learning Reconstruction in Magnetic Resonance Imaging
- Prof. Vincent Dousset
- Head of the diagnostic and therapeutic Neuro Radiology department at Bordeaux University Hospital
- Prof. Thomas Tourdias
- Radiologist at Bordeaux University and Hospital Practitioner at Bordeaux University Hospital
- Member of INSERM Unit U1215 “Pathophysiology of neural plasticity” at the Magendie Neurocentre
WHITE PAPER:
Advanced intelligent Clear-IQ Engine (AiCE):
Translating the Power of Deep Learning
to MR Image Reconstruction
- Hung P. Do, PhD
- Manager Medical Affairs, Clinical Scientist
- Canon Medical Systems USA, Inc.
WHITE PAPER:
Advanced intelligent Clear-IQ Engine (AiCE)
Deep Learning Reconstruction: Effectively
Removes Noise while Maintaining MR Signal
- Hung P. Do, PhD
- Manager Medical Affairs, Clinical Scientist
- Canon Medical Systems USA, Inc.
SYMPOSIUM REPORT:
ISMRM2018 SYMPOSIUM REPORT: Ultra High Resolution MR Imaging in the AI Era
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