2022 CAP Congress / Congrès de l'ACP 2022

Session

M1-3 Imaging - MRI (DPMB) I Imagerie - IRM (DPMB)

M1-3

6 Jun 2022, 10:45

McMaster University

Conveners

M1-3 Imaging - MRI (DPMB) I Imagerie - IRM (DPMB)

• Cornelia Hoehr

3443. (I) On oxygen-enhanced MRI in the tumor microenvironment

Stefan Alexander Reinsberg (The University of British Columbia)

06/06/2022, 10:45

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Invited Speaker / Conférencier(ère) invité(e)

Low oxygen tension in tumour tissue has long been recognized as an indicator of poor outcomes and, independently, as an obstacle to effective treatment with radiation and chemotherapy drugs. Consequently, the search for non-invasive imaging techniques has been ongoing to guide diagnosis and monitor treatments. Dynamic contrast-enhanced MRI has seen the most widespread use but only visualizes a...

3278. (G*) Multicomponent T1 Magnetic Resonance Relaxometry with Neural Networks

Mr Tristhal Parasram (University of Windsor)

06/06/2022, 11:15

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

Magnetic resonance imaging (MRI) is widely used as a non-invasive diagnostic technique to visualize the internal structure of biological systems. Quantitative analysis of the T1 magnetic resonance (MR) relaxation time could reveal microscopic properties and has significance in the study of biological tissues such as the brain, heart, and tumors. A multicomponent model, with a continuous...

3379. (G*) Novel Accelerated Imaging Method for 1H and 129Xe MRI with Deep Learning

Samuel Perron (The University of Western Ontario)

06/06/2022, 11:30

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

Introduction: Recently, accelerated imaging, using Compressed-Sensing (CS) and fitting to the Stretched-Exponential Model (SEM), has been shown to significantly improve SNR of MRI images without increasing scan duration¹: k-space is undersampled according to high acceleration factors (AF) and averaged together using a specific averaging pattern. A density decay curve can then be...

3279. (G*) Optimized Phase Cycling for Coherence Pathway Cancelation in Magnetic Resonance Imaging

Mark Armstrong (University of Windsor)

06/06/2022, 11:45

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle)

Magnetic Resonance Imaging (MRI) is a non-invasive imaging modality which provides excellent soft tissue contrast. An MR echo signal can be generated by an excitation and a refocusing radiofrequency (RF) pulse, where spatial encoding is achieved by applying magnetic field gradients that create signal phase evolution at different spatial locations. A train of echoes can be generated with...

3035. WITHDRAWN - (U*) Comparing Two De-Noising Methods for 129Xe and 19F Hyperpolarized Gas MRI

Elise Woodward

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Oral Competition (Undergraduate Student) / Compétition orale (Étudiant(e) du 1er cycle)

Biomarkers are an important tool used to quantify lung disease, and are extracted from accurate, de-noised images (1). Hyperpolarized gas imaging, specifically Diffusion-Weighted (DW) and Dynamic-Ventilation (DV) are techniques used to quantify these biomarkers. However, noise is a concern, leading to over or underestimation of biomarkers (2). In this study, we aimed to compare two de-noising...