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Accelerated Diffusion-Relaxation Correlation Spectrum Imaging (DR-CSI) for Ex Vivo and In Vivo Prostate Microstructure Mapping

Author:Zhaohuan Zhang  Sohrab Afshari Mirak  Melina Hosseiny  Afshin Azadikhah  Amirhossein Mohammadian Bajgiran  Alan Priester  Kyunghyun Sung  Anthony Sisk  Robert Reiter  Steven Raman  Dieter Enzmann  Holden Wu  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate  

Program Number:0821  

Room Session:Concurrent 5  

Institution:UCLA  

Application of High Spectral and Spatial resolution (HiSS) MRI in prostate: a pilot study

Assessing the variability of contours performed by DL algorithms in prostate MRI

Automated image segmentation of prostate MR elastography by dense-like U-net.

Author:Nader Aldoj  Federico Biavati  Sebastian Stober  Marc Dewey  Patrick Asbach  Ingolf Sack  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4110  

Room Session:Concurrent 5  

Institution:Charité  Ovgu Magdeburg  

Automated patient-level detection of grade group =2 prostate cancer using quantitative restriction spectrum imaging MRI

Characterization of motion-induced phase errors in prostate DWI

Author:Sean McTavish  Anh Van  Kilian Weiss  Johannes Peeters  Marcus Makowski  Rickmer Braren  Dimitrios Karampinos  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate  

Program Number:0822  

Room Session:Concurrent 5  

Institution:Philips Healthcare  Technical University of Munich  

Characterization of prostate cancer and benign prostatic hyperplasia using IVIM-DKI with parameter-reconstruction method

Classification of Cancer at Prostate MRI: Artificial Intelligence versus Clinical Assessment and Human-Machine Synergy

Clinical application of single-shot echo-planer diffusion-weighted imaging with compressed SENSE in prostate MRI

Author:Ayumu Kido  Tsutomu Tamada  Yu Ueda  Masami Yoneyama  Akira Yamamoto  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4092  

Room Session:Concurrent 5  

Institution:Kawasaki Medical School  Phillips Japan  

Comparison of multiplexed sensitivity encoding (MUSE) and single-shot echo-planar imaging (ssEPI) for diffusion-weighted imaging ofprostate

Author:Chun-Ying Shen  Chia-Wei Li  Chien-Yuan Lin  Ching-Hua Yang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4094  

Room Session:Concurrent 5  

Institution:GE Healthcare  Taovuan General Hospital, Ministry of Health and Welfare  

Comparison of single-shot EPI DWI, multi-shot EPI DWI, and single-shot EPI DWI using Compressed SENSE framework in prostate

Author:Ayumu Kido  Tsutomu Tamada  Yu Ueda  Masami Yoneyama  Jaladhar Neelavalli  Akira Yamamoto  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4091  

Room Session:Concurrent 5  

Institution:Kawasaki Medical School  Philips India  Philips Japan  

CycleSeg: MR-to-CT Synthesis and Segmentation Network for Prostate Radiotherapy Treatment Planning

Author:Huan Luu  Gyu-sang Yoo  Dong-Hyun Kim  Won Park  Sung-Hong Park  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate  

Program Number:0813  

Room Session:Concurrent 5  

Institution:Korea Advanced Institute of Science and Technology  Samsung Medical Center  

Deep learning for synthesizing apparent diffusion coefficient maps of the prostate: A tentative study based on generative adversarial networks

Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

Author:Patricia Johnson  Angela Tong  Paul Smereka  Awani Donthireddy  Robert Petrocelli  Hersh Chandarana  Florian Knoll  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4122  

Room Session:Concurrent 5  

Institution:New York University School of Medicine  

Development of Distortion-Free MR Elastography Methods for Slip Interface Imaging of the Prostate

Author:Yi Sui  Kay Pepin  Phillip Rossman  Kevin Glaser  Lance Mynderse  Richard Ehman  Ziying Yin  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4102  

Room Session:Concurrent 5  

Institution:Mayo Clinic  

Differential Diagnosis of ? Prostate Cancer and Benign Prostatic Hyperplasia Based on Prostate DCE-MRI by Using Deep Learning with Different Peritumoral Areas

Differential diagnosis of PCa and BPH using intratumoral susceptibility signal intensities based onESWAN

Directional and Inter-acquisition Variability in DWI (DAVID)

Evaluation of the inter-reader reproducibility of the PI-QUALscoring system for prostate MRI quality

Explainable AI for CNN-based Prostate Tumor Segmentation in Multi-parametric MRI Correlated to Whole Mount Histopathology

Few-shot Meta-learning with Adversarial Shape Prior for Zonal Prostate Segmentation on T2 Weighted MRI

Author:Han Yu  Varut Vardhanabhuti  Peng Cao  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4107  

Room Session:Concurrent 5  

Institution:The University of Hong Kong  

Incorporating UDM into Deep Learning for better PI-RADS v2 Assessment from Multi-parametric MRI

Author:Ruiqi Yu  Ying Hou  Yang Song  Yu-dong Zhang  Guang Yang  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate  

Program Number:0818  

Room Session:Concurrent 5  

Institution:East China Normal University  the First Affiliated Hospital with Nanjing Medical University  

Investigatethe correlation between APT valuesand ADCs in Benign Prostatic Hyperplasia and Prostatic Cancer

Multi-Readout Diffusion-Weighted Imaging for Studying Coupling between Apparent Diffusion Coefficient and Echo Time

Non-invasive Gleason Score Classification with VERDICT-MRI

Author:Vanya Valindria  Saurabh Singh  Eleni Chiou  Thomy Mertzanidou  Baris Kanber  Shonit Punwani  Marco Palombo  Eleftheria Panagiotaki  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4120  

Room Session:Concurrent 5  

Institution:University College London  

Non-Invasive Prostate Metabolic and Cytometric Imaging: Insights from Activity MRI [aMRI]

Author:Xin Li  Eric Baker  Brendan Moloney  Ryan Kopp  Fergus Coakley  Mark Garzotto  Charles Springer  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4097  

Room Session:Concurrent 5  

Institution:Oregon Health & Science University  Portland VA Center  

A novel unsupervised domain adaptation method for deep learning-based prostate MR image segmentation

Author:Cheng Li  Hui Sun  Taohui Xiao  Xin Liu  Hairong Zheng  Shanshan Wang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4109  

Room Session:Concurrent 5  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Optimal 2D-ROI Method to Measure Apparent Diffusion Coefficient of Lesions in Prostate MRI

Optimization of 3D prostate APTw MR imaging

­­­­Physically Implausible Diffusion Signals (PIDS) as a Quality Assessment Metric in Prostate DWI

POST-ACQUISITION WATER SIGNAL REMOVAL IN 3D WATER-UNSUPPRESSED 1H-MR SPECTROSCOPIC IMAGING DATA OF THE PROSTATE

Author:Angeliki Stamatelatou  Diana Sima  Sabine Van Huffel  Sjaak van Asten  Arend Heerschap  Tom Scheenen  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4100  

Room Session:Concurrent 5  

Institution:Icometrix  KU Leuven  Radboud UMC  

A Prior-Knowledge Embedded Convolutional Neural Network for Extracapsular Extension of the Prostate Cancer at Multi-Parametric MRI

Prostate Cancer Detection on T2-weighted MR images with Generative Adversarial Networks

Prostate Cancer Detection Using High b-Value Diffusion MRI with a Multi-task 3D Residual Convolutional Neural Network

Prostate Cancer Risk Maps Derived from Multi-parametric MRI and Validated by Histopathology

Author:Matthew Gibbons  Jeffry Simko  Peter Carroll  Susan Noworolski  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4121  

Room Session:Concurrent 5  

Institution:University of California, San Francisco  

Prostate Lesion Segmentation on VERDICT-MRI Driven by Unsupervised Domain Adaptation

Author:Eleni Chiou  Francesco Giganti  Shonit Punwani  Iasonas Kokkinos  Eleftheria Panagiotaki  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate  

Program Number:0820  

Room Session:Concurrent 5  

Institution:University College London  

Prostate MRI at 3-T: clinical impact of ultra-high b value (3,000 s/mm2) diffusion-weighted MR imaging compared to high b value of 2,000 s/mm2

Author:Ayumu Kido  Tsutomu Tamada  Yu Ueda  Masami Yoneyama  Akira Yamamoto  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4089  

Room Session:Concurrent 5  

Institution:Kawasaki Medical School  Philips Japan  

Radiomics models based on ADC maps for predicting high-grade prostate cancer at radical prostatectomy: comparison with preoperative biopsy

Rapid fitting of Luminal Water Fraction in Prostate MRI

Author:David Atkinson  Fiona Gong  Giorgio Brembilla  Shonit Punwani  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4088  

Room Session:Concurrent 5  

Institution:University College London  

Rapid submillimeter high-resolution prostate T2 mapping with a deep learning constrained Compressed SENSE reconstruction

Reduction of B1-field induced inhomogeneity for body imaging at 7T using deep learning and synthetic training data.

Author:Seb Harrevelt  Lieke Wildenberg  Dennis Klomp  C.A.T. van den Berg  Josien Pluim  Alexander Raaijmakers  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4123  

Room Session:Concurrent 5  

Institution:TU Eindhoven  UMC Utrecht  

The repeatability of deep learning-based segmentation of the prostate, peripheral and transition zones on T2-weighted MR images

Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations

Sensitivity of radiomics to inter-reader variations in prostate cancer delineation on MRI should be considered to improve generalizability

T2-Weighted MRI-Derived Texture Features in Characterization of Prostate Cancer

Texture-Based Deep Learning for Prostate Cancer Classification with Multiparametric MRI