Advanced Confidence for 1.5T MRI

New techniques like Deep Learning Reconstruction technology are advancing medical imaging by harmonising the trade-offs between resolution, speed and SNR. In addition, accelerated scan techniques, quantifiable imaging and methods to reduce distortion and artifacts are enhancing diagnostic capability.

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AiCE combines with rapid scanning techniques

In combination with unique Canon scan acceleration technologies like Compressed SPEEDER and Fast 3D mode, you have the ability to scan faster and higher resolutions and enhance SNR by removing noise during image reconstruction.

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AiCE combines with Compressed SPEEDER
Suspected intervertebral
foramen stenosis
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Courtesy of Fujita Health University, Okazaki Medical Center, Japan


AiCE combines with Fast 3D mode
*Breath hold
Gallbladder polyp
Pancreatic cystic lesions
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Images provided by Japanese facility


AiCE combines with SPEEDER
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Minimise image distortion to enhance diagnostic capability

Unnecessary distortion can hide or make lesions difficult to detect, so solutions that reduce distortion are useful for diagnostics. DWI / DTI in particular are sensitive to the effects of magnetic susceptibility, with distortion appearing where the magnetic susceptibility changes. Canon’s RDC DWI and DTI minimise distortion which enhances diagnostic performance in these advanced imaging techniques.


Diffusion Tensor Imaging (DTI)
DTI is an advanced MRI technique that utilises the EPI method to visualise continuous white matter tracts running in various directions in the brain.

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RDC DWI
RDC DWI (Reverse encoding Distortion Correction DWI) is intended to reduce distortion in phase encoding direction due to B0 field inhomogeneity or eddy current, in DWI sequence.

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Improving imaging robustness to enhance diagnostic capability

Many scan and patient situations present challenges with motion artifacts and distortion. Even amongst these challenges, Canon technology delivers diagnostically relevant images to avoid re-scans.


metal Artifact Reduction Technique EXPansion (mART EXP)
mART EXP is 3D method to reduce in-plane and through-plane distortion artifact induced by susceptibility. Compressed SPEEDER can reduce scan time.

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Iterative Motion Correction (IMC)
IMC is a motion correction technology for reducing motion artifacts caused by sporadic movements. Powered by Altivity, IMC utilizes Deep Learning based methods for motion correction in addition to traditional model-based correction.

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Quantifiable imaging to enhance diagnostic capability

Quantitative imaging techniques provide a wide range of options for referring physicians and staff. New techniques like MR Elastography and Fat Fraction Quantification (FFQ) for liver staging and quantification, and contrast free Arterial Spin Labeling increase the imaging tools available for imaging various disease sets that were previously handled in other imaging modalities.

MR Elastography (MRE)
MRE is the only MRI technology that has been validated for staging liver fibrosis.
The role of MRE has been increasingly recognised in multidisciplinary clinical guidelines for noninvasive liver fibrosis assessment, particularly in suspected cases of non-alcoholic fatty liver disease (NAFLD).
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Non-invasive fat imaging and quantification

Imaging is rapidly becoming the standard for fat quantification. Canon's fat imaging and quantification can simultaneously, in a single breath held exam, provide quantitative maps of the liver to measure proton density fat fraction (PDFF) and R2*.
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pseudo-Continuous Arterial Spin Labeling (pCASL)
Arterial Spin Labeling (ASL) MRI provides non-invasive methods to measure tissue perfusion without the use of external contrast agents. pCASL utilises a fast spin echo (FSE) readout which makes it less sensitive to susceptibility artifacts and provides better image quality than other solutions.

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Intelligent advanced MRI post processing

Advanced post processing enhances diagnosis while helping to expand patient services. Access advanced applications with Olea/Vitrea post processing tools.

Learn more about Advanced post processing

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