2021 Breast Cancer Awareness Month

Session: MR Data Security in a Dangerous Era

Cloud Computing: Challenges & Opportunities
Michael Hansen

Protecting MR Data: Practical Issues (Sharing, Anonymizing, Etc.)
Thomas Close

Session: Money, Money, Money

Necessary Ingredients of a Research Proposal
P. Ellen Grant

Why You?: Selling Yourself
Derek Jones

Session: Breast MRI Basics for Diagnosis & Screening

Breast MRI for Screening
Ritse Mann

Management of High-Risk Patients & Implant Imaging
Wendy DeMartini

Category & Management Based on BI-RADS (Case-Based)
Maria Adele Marino

Beyond BI-RADS
Laura Martincich

Session: Nurturing MR Innovators & Innovation

Nurturing Beyond Our Peers: Public Engagement & Outreach
Stuart Clare

Nurturing Talent: Training & Mentoring
Kaori Togashi

Nurturing a Team: Healthy Team Science
Vivian Lee

Session: Breast MRI Basics for Diagnosis & Screening

Breast MRI for Treatment Response
Fiona Gilbert

Understanding the Commonly Used Sequences of Breast MRI
Min Sun Bae

BI-RADS Non-Mass Enhancement
Masako Kataoka

Session: MR Data Security in a Dangerous Era

Legal & Regulatory Issues in the Protection of MR Data: The Alphabet Soup (GDPR, HIPAA, FDA)
Yvonne Lui

Protecting MRI Scanner & Peripheral Devices: Hackers
George Shih

Session: Breast: What’s New

Diffusion weighted and kurtosis breast cancer imaging for b=0-1800 s/mm2: Comparisons to dynamic contrast enhanced MRI
Martins Otikovs

Impact of retrospective gradient nonlinearity correction on lesion ADCs and performance in the ECOG-ACRIN A6702 multicenter breast DWI trial
Debosmita Biswas

Breast MRI functional tumor volume segmentation quality may impact the prediction of pathological complete response
Natsuko Onishi

Evaluating pCR after neoadjuvant systemic treatment of invasive breast cancer using DWI in comparison to DCE-based kinetic analysis
Rie Ota

Multiparametric MRI signatures of immune response in patients with HER2+ breast cancer treated with trastuzumab
Bonny Chau

BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning
Jiejie Zhou

Radiomics based classification of breast mass with a multiparametric MRI protocol with DCE-MRI, T2, and DWI
Jing Zhang

Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast
Dipika Sikka

Multimodal magnetic resonance elastography and optical imaging of breast cancer
Bin Deng

Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer.
Nabil Elshafeey

Session: Breast MRI as a Problem-Solving Tool

A Hybrid DWI Approach for Simultaneous Assessment of Cellularity, Vascularity, and Heterogeneity of Breast Lesions
Muge Karaman

Quantitative DCE and DW-MRI to Evaluate Suspicious Mammographic Calcifications: Results from a Single Institution Prospective Clinical Trial
Janis Yee

Deregulation of lipid composition in peri-tumoural adipose tissue in postmenopausal patients with breast cancer
Sai Man Cheung

Ultrafast DCE MRI for post-NST evaluation of breast cancer
Maya Honda

Effect of enhancement segmentation thresholds on predicting neoadjuvant response in breast cancer patients using DCE-MRI textural features
Deep Hathi

Predicting malignancy in additional lesion in breast cancer: A machine learning approach combining radiomics and clinical imaging analysis
Tien Nguyen

When to Use Advanced Sequences & AI
Katja Pinker-Domenig

Approach to High-Risk Screening
Eun Sook Ko

How to Evaluate Treatment Response
Nola Hylton

Difficult Cases the Breast Radiologist Should Know
Silvia Perez

Session: Standing Out: Contrast Mechanisms in Breast Imaging

Spectroscopy in Breast Imaging
Uma Sharma

Diffusion-Weighted Imaging of the Breast
Savannah Partridge

HIFU & Breast Interventions
L. Wilbert Bartels

Perfusion Imaging of the Breast
Wei Huang

Session: MR Physics for Clinicians: Contrast Mechanisms

From Biology to Radiology
Evgeniya Kirilina

Relaxation: T2 & T2*
Burkhard Mädler

Diffusion
Galit Saar

Session: MR Physics for Clinicians: Hardware, Fields & Contrast Agents

MR System Components & Safety Implications
Filiz Yetisir

Contrast Agents
Alexander Radbruch

High-Field Imaging: From Physics to Clinics
Anja van der Kolk

Session: CEST-MRI Challenges & Promises

CEST: Overcoming the Challenges
Elena Vinogradov

NextCEST: Leveraging Fingerprinting/ML for Accelerated CEST
HyunWook Park

Session: Cancer in the Body

Hyperpolarized 13C-Pyruvate MRSI in Prediction of Response to Tyrosine Kinase Inhibition Therapy in Gastric Cancer
Shadi Esfahani

Hyperpolarized 13C Metabolic Imaging of Patients with Pancreatic Ductal Adenocarcinoma
Jeremy Gordon

Assessment of pancreatic tumour response on LDE225, gemcitabine and nab-paclitaxel using Intravoxel Incoherent Motion MRI
Nienke Wassenaar

Ex Vivo Radiologic-Histologic Correlation of Pancreas Adenocarcinoma: A Feasibility Study
Alexandra Acher

Noise reduction in diffusion weighted MRI of the pancreas using an L1-regularized iterative SENSE reconstruction
Omar Kamal

High-precision neural-network discrimination of human plasma samples to detect pancreatic cancer using specialized data-augmentation method
Meiyappan Solaiyappan

Application of APTw imaging in prediction of lymph node metastasis in rectal cancer
Mingxiao Wang

Session: Machine Learning for Image Analysis

Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI
Alfredo De Goyeneche

Self-supervised Cardiac MRI Denoising with Deep Learning
Junshen Xu

Multi-task Deep Learning for Late-activation Detection of Left Ventricular Myocardium
Jiarui Xing

HDnGAN: High-fidelity ultrafast volumetric brain MRI using a hybrid denoising generative adversarial network
Ziyu Li

Deep learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI
Suphachart Leewiwatwong

Learning-based non-linear registration robust to MRI-sequence contrast
Malte Hoffmann

Image domain Deep-SLR for Joint Reconstruction-Segmentation of Parallel MRI
Aniket Pramanik

MRI-Based Response Prediction to Immunotherapy of Late-Stage Melanoma Patients Using Deep Learning
Annika Liebgott

Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network
Jonas Denck

Image Registration of Perfusion MRI Using Deep Learning Networks
Zongpai Zhang

Session: MR Physics for Clinicians: Fast Imaging Techniques

Fast Pulse Sequences: Acquiring Data More Quickly
Craig Meyer

Sparse Reconstruction: Modelling the Image to Acquire Less Data
Shreyas Vasanawala

Parallel Imaging: Modelling the System to Acquire Less Data
Julia Velikina

Session: MR Physics for Clinicians: Spins & Sequences

Spin Gymnastics
Walter Kucharczyk

Basic Pulse Sequences: Gradient & Spin Echo Imaging
Jana Hutter

Multicontrast Approaches
Stanislas Rapacchi

Session: Specialized High-Performance Systems

Opportunities & Challenges of Specialized Systems
Stuart Crozier

Whole-Body Systems for Interventional, Lung & Cardiac MRI
Adrienne Campbell-Washburn