Research Presentation Sessions

During the ECR 2023, the ESR members who are registered for ECR, can follow the scientific Research Presentation Sessions. Quite a few of those sessions include scientific evidence on Canon Medical technology.
For your convenience, we have listed all the relevant Research Presentation Sessions with their description and direct link to the ESR Connect program.

When you participate one of the Research Presentation Sessions, let us know your impression through our social channels: LinkedIn, Twitter or Facebook.
Tag us @Canon-Medical-Eu (LinkedIn) or @CanonMedicalEU (Facebook and Twitter) or use the hashtag #CanonMedical

LinkedIn | Twitter | Facebook

March 1, 2023 | 08:00 - 09:00 CET

MRI | Head and Neck | 3T

RPS 108 - Thyroid imaging and treatment

Reverse encoding distortion correction (RDC) on diffusion-weighted imaging (DWI): capability for image quality improvement and ADC evaluation accuracy in head and neck tumours
Yoshiharu Ohno, Toyoake / Japan

Purpose: To directly compare the capability of reverse encoding distortion correction (RDC) method for image quality improvement and ADC evaluation accuracy on diffusion-weighted imaging (DWI) in head and neck tumours.

Thyroid imaging and treatment - ESR Connect (

March 1, 09:30 - 11:00 CET

CT | Chest | SilverBeam | AiCE

RPS 204 - Developments in chest CT

Comparison of ultra-low dose chest CT with SilverBeam and deep learning reconstruction vs. standard dose chest CT with hybrid reconstruction
Chloe Steveson, Adelaide / Australia

Purpose: SilverBeam filter in conjunction with deep learning image reconstruction can reduce image noise and enable radiation dose reductions. The aim of this study is to investigate whether the use of SilverBeam and a deep learning reconstruction algorithm allows for reduced radiation dose chest CT scanning.

Silver x-ray spectrum modulation filter and DLR: comparison of dose reduction capability for CT lung nodule detection with copper filter and other reconstruction methods at in vitro study
Yoshiharu Ohno, Toyoake / Japan

Purpose: To compare the capability of dose reduction for lung nodule detection among CTs obtained with silver x-ray beam spectral modulation and copper filters (Ag filter and Cu filter) and reconstructed with FBP, hybrid-type IR and deep learning reconstruction (DLR) at in vitro study

Developments in chest CT - ESR Connect (

March 1, 2023 | 11:30 - 12:30 CET

MRI | Neuro | 3T | Non-contrast

RPS 311 - New approaches and techniques in neuroradiology

Intrinsic CSF outflow declines with age by spin-labelling MRI
Mitsue Miyazaki, San Diego / United States

Purpose: Clearance of CSF outflow is important for the removal of toxins from the brain to maintain healthy brain and prevent neurogenerative diseases. However, the egress pathway and quantitative measures of intrinsic CSF drainage remain unknown. In general, glymphatic studies were performed in small animals with invasive tracers [1,2]. The purpose of this study is to develop non-contrast MRI techniques to depict the intrinsic CSF outflow, measure their quantitative metrics, and investigate an age effect in the human brain.

New approaches and techniques in neuroradiology - ESR Connect (

March 1, 2023 | 16:30 - 17:30 CET

MRI | Neuro | 3T

RC 611 - T2 hyperintensities in the brain

The specific ones
Thomas Tourdias, Bordeaux / France

1. To analyse the shape and location of brain T2 hyperintensities to identify specific features.
2. To detect characteristics of T2 hyperintensities by analysis of MR diffusion, susceptibility-weighted sequences, and post-gadolinium images to identify specific features.
3. To improve the characterisation of specific T2 hyperintensities in the brain by combining all the available information.

T2 hyperintensities in the brain - ESR Connect (

March 3, 14:00 - 15:30 CET

CT | Chest | SilverBeam

RPS 1504 - Imaging of the airways and ILDs

The effect of SilverBeam filter on cyst scores in patients with cystic lung diseases
Chloe Steveson, Adelaide / Australia

Purpose: The aim of this study is to investigate the effect of a new silver beam filter on quantitative cyst scores in chest CT scans.

Imaging of the airways and ILDs - ESR Connect (

March 3, 16:00 - 17:30 CET

Ultrasound | Liver | emergency | MSK | Prostate

PC 16 - Professional challenges in ultrasound
Adrian Brady, Cork / Ireland
Chairperson's introduction
Panel discussion: Role of non-radiologist in ultrasound practice

Advanced measurements in liver disease: who should lead?
Adrian K.P. Lim, London / UK
Learning Objectives
1. To understand the current advances of ultrasound for assessment of the liver.
2. To understand the clinical value and limitations of ultrasonic measurement for assessing chronic liver disease.
3. To understand the importance of a symbiosis between manufacturers, imaging researchers and clinicians for advancing these technologies as a clinical tool.

On-call ultrasound: is this needed?
Thomas Fischer, Berlin / Germany
1. To learn that night call represents a crucial educational experience for radiology residents.
2. To understand that intensive "pre-call" training rotation to improve scanning skills is important.
3. To provide interpretations of CT and ultrasound together in emergency cases.

Musculoskeletal ultrasound: are advanced practitioners the answer?
Keshthra Satchithananda, London / UK
1. To address who can and what training is needed to deliver this service.
2. To look at who can train this group.
3. To understand the governance and oversight for the safe delivery of services.
4. To point out limitations of the practice.

Prostate biopsy: for urology only?
Jean-Michel Correas, Paris / France
1. To understand the concept of multiparametric ultrasound (US), especially for prostate imaging.
2. To understand the added value of combined reading of MRI and US.
3. To understand the role of fusion imaging using MRI and US for prostate biopsy.

Professional challenges in ultrasound - ESR Connect (

March 5, 13:00 - 14:30 CET

CT | Cardiac | PIQE

RPS 2503 - Artificial intelligence in cardiovascular imaging

Impact of super resolution deep learning reconstruction with 1024 matrix in potential CAD-RADS 3 lesions: retrospective analysis of 50 cases
Mickaël Ohana, Schiltigheim / France

Purpose: CAD-RADS 3 lesion in Coronary CT Angiography (CCTA) is defined as an intermediate (50-69%) stenosis. Whether the use of a Super Resolution Deep Learning Reconstruction (SR-DLR) algorithm could modify the adjudication of these intermediate lesions, particularly when heavily calcified, is unknown. Our primary objective is therefore to compare the classification of potential CAD-RADS 3 lesions by expert readers when using conventional DLR with a 512 matrix (i.e. current reference standard) and SR-DLR with a 1024 matrix.

Artificial intelligence in cardiovascular imaging - ESR Connect (
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