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“Good to Know” Canon MRI
Canon’s Good to Know helps to make complex topics simple by providing explanations from our expert employees. We try to make it easy to understand with videos and links to useful information, and PDFs are made available to print out if you would like to keep the information handy. If you would like more information or to suggest ideas for other topics, please email us on CMSC-goodtoknow@medical.canon and we will have our experts get in touch with you.
Advanced intelligent Clear-IQ Engine (AiCE)
Hung P. Do, PhD
WHAT?
A deep learning based reconstruction method for MRI that intelligently removes noise while maintaining feature integrity.WHY?
To increase SNR of the reconstructed images. This increased SNR could be translated to increased resolution and/or shortened scan time. This could also enable high field-like image quality without high-field challenges (e.g. higher cost, B0 & B1 inhomogeneity, etc.).WHEN?
Applicable to all anatomies and available at both 1.5T and 3T, for both wide and narrow bore system.Additional Links and Resources
Internal links:
White paper on knee exploration at 3T using AiCE (by Garry Gold, MD PhD)
White paper on full brain exploration at 3T using AiCE (by Vincent Dousset, MD PhD)
White paper on AiCE explanation (by Hung Do, PhD)
External links: (may require logins)
Peer-reviewed paper on brain imaging at 3T using AiCE (Magn Reson Med Sci 2020)
Peer-reviewed paper on non-contrast coronary angiography at 3T using AiCE (Can Assoc Radiol J 2021)
Conference abstract on quantitative imaging on brain at 3T using AiCE (ISMRM 2020)
Conference abstract on multi-anatomy imaging at 1.5T using AiCE (ISMRM 2021)
Conference abstract on short scan time imaging at 1.5T using AiCE (ISMRM 2021)
White paper on knee exploration at 3T using AiCE (by Garry Gold, MD PhD)
White paper on full brain exploration at 3T using AiCE (by Vincent Dousset, MD PhD)
White paper on AiCE explanation (by Hung Do, PhD)
External links: (may require logins)
Peer-reviewed paper on brain imaging at 3T using AiCE (Magn Reson Med Sci 2020)
Peer-reviewed paper on non-contrast coronary angiography at 3T using AiCE (Can Assoc Radiol J 2021)
Conference abstract on quantitative imaging on brain at 3T using AiCE (ISMRM 2020)
Conference abstract on multi-anatomy imaging at 1.5T using AiCE (ISMRM 2021)
Conference abstract on short scan time imaging at 1.5T using AiCE (ISMRM 2021)
Arterial Spin Labeling
Valentin H. Prevost, PhD
WHAT?
Arterial Spin Labeling (ASL) method allows quantitative imaging of blood flow perfusion without the use of external contrast agent.WHY?
The arterial blood used as an endogenous tracer is non-invasive and, due to its physical properties, it represents true tissue perfusion better than external contrast agents can.WHEN?
To study perfusion disorders such as stroke or blood flow alterations induced by cancer, epilepsy, and neurodegenerative diseases.
Computed Diffusion (cDWI)
Thiele Kobus, PhD
Wolter de Graaf, PhD
WHAT?
Calculate new diffusion-weighted images from acquired images.WHY?
To obtain additional diffusion information of the tissues without additional scan time.WHEN?
Mostly used for oncologic purposes; high b-value images may result in better tumor conspicuity.
Compressed SPEEDER
Alba Iruela, MS
WHAT?
Acceleration technique based on incoherent undersampling in k-space.It relies on the principles of compressed sensing technology.
WHY?
Compressed SPEEDER allows scan time reduction with higher acceleration factors than conventional SPEEDER while avoiding aliasing artifacts.WHEN?
It is recommended for high-matrix situations, especially when the scanning conditions do not support traditional coil based parallel imaging.Additional Links and Resources
Internal links
White Paper on time reduction and additional benefits for MSK protocols (by Xavier Alomar, MD)
White Paper on workflow acceleration in neuro imaging (by Benoit Doche de Laquintane, MD)
White Paper on knee pathologies combining Compressed SPEEDER and AiCE (by Xavier Alomar, MD and Elena Ferre)
External links (may require logins)
Article on Compressed Sensing description and applications (IEEE Signal Processing Magazine 2008)
Review of Compressed Sensing from signal processing perspective (BMC Biomedical Engineering 2019)
Youtube Video on maths behind Compressed Sensing (by Steve Brunton, PhD)
White Paper on time reduction and additional benefits for MSK protocols (by Xavier Alomar, MD)
White Paper on workflow acceleration in neuro imaging (by Benoit Doche de Laquintane, MD)
White Paper on knee pathologies combining Compressed SPEEDER and AiCE (by Xavier Alomar, MD and Elena Ferre)
External links (may require logins)
Article on Compressed Sensing description and applications (IEEE Signal Processing Magazine 2008)
Review of Compressed Sensing from signal processing perspective (BMC Biomedical Engineering 2019)
Youtube Video on maths behind Compressed Sensing (by Steve Brunton, PhD)
Fat vs. Water, The Dixon Technique
Min Xu, PhD
WHAT?
One fat suppression approach based on the difference between the precessional frequencies of fat and water protons.WHY?
To get a more efficient and reproducible fat signal suppression technique to improve visualization of lesions.WHEN?
- For varied clinical applications, initially focused on abdominal regions, and then extended to musculoskeletal imaging, such as the neck, spine, the knee, brachial plexus, and the hands.
- Useful when conventional fat suppression technique is not reliable (large FOV, neck and plexus, off-center imaging...)
Additional Links and Resources
Internal links
White paper on clinical application of Dixon technique on neck region (by Seppo Kortelainen, MD)
White paper on efficiency and usefulness of Dixon technique on the whole spine and the abdominal region (by Akihiko Arakawa, MD)
Good to Know on Fat Fraction Quantification (by Mo Kadbi, PhD)
External links (may require logins)
Peer-review paper on Dixon technique applied to knee exploration at 3T (J Med Radiat Sci 2019)
Simple explanations on Dixon technique by mriquestions.com
Review article on Dixon technique (JMR 2008)
White paper on clinical application of Dixon technique on neck region (by Seppo Kortelainen, MD)
White paper on efficiency and usefulness of Dixon technique on the whole spine and the abdominal region (by Akihiko Arakawa, MD)
Good to Know on Fat Fraction Quantification (by Mo Kadbi, PhD)
External links (may require logins)
Peer-review paper on Dixon technique applied to knee exploration at 3T (J Med Radiat Sci 2019)
Simple explanations on Dixon technique by mriquestions.com
Review article on Dixon technique (JMR 2008)
Fat Fraction Quantification
Mo Kadbi, PhD
WHAT?
A single breath-hold multi-echo Field Echo scan to accurately and reliably measure Proton Density Fat Fraction (PDFF) and R2*, even in the presence of increased iron concentration.WHY?
To simultaneously provide, with one scan, quantitative maps of liver fat and R2*, in- & opposed-phase images, and fat- & water-only images.WHEN?
Quantifying hepatic fat content and iron accumulation is needed for diagnosis, severity grading, disease monitoring, or treatment response assessment.
Parallel Imaging SPEEDER and Exsper
Valentin H. Prevost, PhD
WHAT?
MRI images are created by gathering data from what is known in physics as the k-space. Parallel imaging (PI) under-samples data from the k-space by combining signal coming from multiple coils in parallel.WHY?
By under-sampling data, we can speed-up scan time as less data is required in the acquisition phase.WHEN?
Parallel Imaging can be used in several ways:To go faster: higher patient throughput, shorter patient breath-hold, functional MRI, MR Angiography, reduce motion artifacts.
To reduce susceptibility artifacts : single shot EPI with Exsper(diffusion, DTI).
Ultra short TE multi-echo (UTE multi-echo)
Hung P. Do, PhD
WHAT?
An MRI pulse sequence that allows acquisition of multi-echo data with ultra short echo times (TEs).WHY?
Ultra short TEs allows reception of signals from tissues with short T2* which can not be obtained with conventional field echo (gradient echo) sequences.WHEN?
UTE multi-echo is available at both 1.5T and 3T and can be used to visualize tissues with short T2* and to generate associated T2* maps.
Multi-b Diffusion
Alicia Palomar,
MSc & MRes
WHAT?
Acquisition of diffusion-weighted images (DWI) using multiple b-values.WHY?
To improve sensitivity of DWI and obtain further information regarding tissue behavior (apart from pure diffusion).WHEN?
For several clinical applications and all body regions, but mostly used for oncological purposes.
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