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3D Amide proton transfer weighted imaging in predicting Ki-67 proliferation state of rectal adenocarcinoma

Author:Ling Li  Yingjie Mei  Zhaoxian Yan  Jieping Feng  Bo Liu  Xian Liu  

Institution:Clinical Science,Philips Healthcare  Guangzhou University of Chinese Medicine  The second Affiliated Hospital of Guangzhou University of Chinese Medicine  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0836  

Room Live Q&A Session:Wednesday Parallel 3  

3D O2-Enhanced MR Imaging vs. Thin-Section CT: Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification in Smokers

Author:Yoshiharu Ohno  Masao Yui  Daisuke Takenaka  Yoshimori Kassai  Kazuhiro Murayama  Takeshi Yoshikawa  

Institution:Canon Medical Systems Corporation  Fujita Health University School of Medicine  Hyogo Cancer Center  Kobe University Graduate School of Medicine  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0828  

Room Live Q&A Session:Wednesday Parallel 3  

Added Value of DCE in Machine Learning-based Tumor Probability Maps for Predicting Clinically Significant Cancer Foci in Pre-biopsy MR images

Author:Gabriel Nketiah  Léo Pallas  Adrian Breto  Radka Stoyanova  Mattijs Elschot  Tone Bathen  

Institution:University of Miami  CPE Lyon  Norwegian University of Science and Technology  St. Olavs University Hospital  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0832  

Room Live Q&A Session:Wednesday Parallel 3  

Age estimation from whole-body MR images: A proof-of-principle study

Author:Thomas Küstner  Tobias Hepp  Karim Armanious  Konstantin Nikolaou  Sergios Gatidis  Bin Yang  

Institution:King's College London  University Hospital Tübingen  University of Stuttgart  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0808  

Room Live Q&A Session:Wednesday Parallel 3  

Amide Proton Transfer Imaging of Rectal Cancer: Baseline values and Feasibility for Predicting Tumor Pathological Features

Author:Lan Zhang  Xin Li  Ping Han  Fan Yang  

Institution:Union Hospital, Tongji Medical College,Huazhong University of Science and Technology  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0835  

Room Live Q&A Session:Wednesday Parallel 3  

The Application of High-resolution Multi-shot DWI with MUSE reconstruction in the Diagnosis of Active Inflammation in Crohn's Disease

Author:Guangtao Chen  Hing-Chiu Chang  Keith Wan-Hang Chiu  

Institution:The University of Hong Kong  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0817  

Room Live Q&A Session:Wednesday Parallel 3  

Automated Renal Segmentation in Healthy and Chronic Kidney Disease Subjects Using A Convolutional Neural Network

Author:Alexander Daniel  Charlotte Buchanan  Thomas Allcock  Daniel Scerri  Eleanor Cox  Benjamin Prestwich  Susan Francis  

Institution:University of Nottingham  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0811  

Room Live Q&A Session:Wednesday Parallel 3  

Automating Image-Based Body Composition Analysis with Missing Data

Author:Clint Frandsen  Alexander Weston  Kenneth Philbrick  Gian Marco Conte  Bradley Erickson  Timothy Kline  

Institution:Radiology Informatics Lab, Mayo Clinic  Physiology & Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0814  

Room Live Q&A Session:Wednesday Parallel 3  

Cine SSFSE for reduced susceptibility artifact and increased diagnostic accuracy in MR enterography

Author:Peter Wei  Anugayathri Jawahar  Daniel Litwiller  Andreas Loening  

Institution:GE Healthcare  Stanford University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0816  

Room Live Q&A Session:Wednesday Parallel 3  

Clinical Diffusion Time Dependency of Breast Tumors and Associations with Prognostic Factors

Author:Mami Iima  Masako Kataoka  Maya Honda  Ayami Ohno Kishimoto  Rie Ota  Akane Ohashi  Yuta Urushibata  Thorsten Feiweier  Masakazu Toi  Kaori Togashi  

Institution:Kyoto University Graduate School of Medicine  Siemens Healthcare GmbH  Siemens Healthcare K.K.  Kyoto University Hospital  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0825  

Room Live Q&A Session:Wednesday Parallel 3  

Comprehensive Analysis of Bladder Wall Perfusion and Deformation in BPH patients using MRI

Author:Ryan Pewowaruk  David Rutkowski  Cody Johnson  Colin Kim  Shane Wells  Wade Bushman  Diego Hernando  Alejandro Roldán-Alzate  

Institution:University of Wisconsin  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0827  

Room Live Q&A Session:Wednesday Parallel 3  

Cortical Surface Spectral Matching of the Fetal Brain Pre and Post Fetal Surgery for Open Spina Bifida

Author:Nada Mufti  Michael Aertsen  Michael Ebner  Lucas Fidon  Tom Vercauteren  Luc De Catte  Philippe Demaerel  Jan Deprest  Sebastien Ourselin  Anna David  Andrew Melbourne  

Institution:King's College London  University College London (UCL)  University Hospitals Katholieke Universiteit (KU) Leuven  University Hospitals KU Leuven  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0826  

Room Live Q&A Session:Wednesday Parallel 3  

CT and MRI based multi-modal and multi-parametric radiomics  pre-operative prediction of perineural invasion in patients with rectal cancer

Author:Xiangchun Liu  Yu Fu  Yan Guo  Kan He  Qi Yang  Huimao Zhang  

Institution:GE Healthcare  the First Hospital of Jilin University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0837  

Room Live Q&A Session:Wednesday Parallel 3  

Deep Learning for Determination of Myometrial Invasion Depth and Automatic Lesion Identification Based on Endometrial Cancer MR Imaging

Author:Yida Wang  Yinqiao Yi  Minhua Shen  He Zhang  Xu Yan  Guang Yang  

Institution:East China Normal University  Obstetrics and Gynecology Hospital, Fudan University  Siemens Healthcare  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0810  

Room Live Q&A Session:Wednesday Parallel 3  

Delta Radiomic Features from serial bi-parametric MRI are associated with biopsy upgrading of prostate cancer patients on Active Surveillance

Author:Rakesh Shiradkar  Ruyuan Zuo  Amr Mahran  Lin Li  Britt Conroy  Lee Ponsky  Sree Harsha Tirumani  Anant Madabhushi  

Institution:Case Western Reserve University  UH Cleveland Medical Center  Case Western Reserve University School of Medicine  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0830  

Room Live Q&A Session:Wednesday Parallel 3  

Diaphragm motion prediction with a LSTM network using MRI k-space data

Author:Carola Fischer  Florian Friedrich  Peter Bachert  Mark Ladd  Benjamin Knowles  

Institution:German Cancer Research Center (DKFZ)  Heidelberg University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0813  

Room Live Q&A Session:Wednesday Parallel 3  

Double Echo Steady State (DESS) Cones for Non-Contrast-Enhanced Breast MRI

Author:Catherine Moran  Christopher Sandino  Joseph Cheng  Marcus Alley  Bruce Daniel  Brian Hargreaves  

Institution:Stanford University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0824  

Room Live Q&A Session:Wednesday Parallel 3  

Early Prediction of Treatment Response and Mortality in Advanced Cervical Cancer: Temporal Changes of Functional MRI and 18FDG PET/CT Radiomics

Author:Murat Alp Oztek  Stephen Bowen  Savannah Partridge  Daniel Hippe  William Yuh  Aaron Nelson  Simon Lo  Elaine Lee  Eric Leung  John Grecula  Matthew Harkenrider  Michael Knopp  Wei Wu  Nina Mayr  

Institution:Loyola University  MIM Software  Ohio State University  Sunnybrook Health Sciences Centre, University of Toronto  The University of Hong Kong  University of Washington  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0829  

Room Live Q&A Session:Wednesday Parallel 3  

End-to-end Deep Learning Strategy To Segment Prostate Cancer From Multi-parametric MR Images

Author:David Hoar  Peter Lee  Alessandro Guida  Steven Patterson  Chris Bowen  Jennifer Merrimen  Cheng Wang  Ricardo Rendon  Steven Beyea  Sharon Clarke  

Institution:Biomedical Translational Imaging Centre, Nova Scotia Health Authority and IWK Health Centre  Dalhousie University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0821  

Room Live Q&A Session:Wednesday Parallel 3  

Erasing artifacts from arterial phase MRI: Motion Artifact Reduction using a Convolutional network (MARC)

Author:Shinya Kojima  Daiki Tamada  Tetsuya Wakayama  Shintaro Ichikawa  Hiroyuki Morisaka  Shigeru Suzuki  Utaroh Motosugi  

Institution:GE Healthcare  Saitama Medical University International Medical Center  Tokyo Women’s Medical University Medical Center East  University of Yamanashi  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0819  

Room Live Q&A Session:Wednesday Parallel 3  

Ex Vivo MRI for Direct Radiologic-Histologic Correlation in the Pancreas: Protocol Development with Cadaver Specimens

Author:Alexandra Acher  TJ Colgan  Yuxin Zhang  Krisztian Kovacs  Jitka Starekova  Victoria Rendell  Daniel Abbott  Erin Brooks  Rashmi Agni  Emily Winslow  Scott Reeder  

Institution:Georgetown University  University of Wisconsin  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0840  

Room Live Q&A Session:Wednesday Parallel 3  

High Resolution T2W imaging using Deep Learning Reconstruction and Reduced Field-of-View PROPELLER

Author:Xinzeng Wang  Daniel Litwiller  Marc Lebel  Ali Ersoz  Lloyd Estkowski  Jason Stafford  Ersin Bayram  

Institution:GE Healthcare  MD Anderson Cancer Center  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0820  

Room Live Q&A Session:Wednesday Parallel 3  

Local feature denoising and global feature extraction for malignancy characterization of hepatocellular carcinoma

Author:Wu Zhou  Hui Huang  Guangyi Wang  Honglai Zhang  

Institution:Guangdong General Hospital  Guangzhou University of Chinese Medicine  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0815  

Room Live Q&A Session:Wednesday Parallel 3  

Parallel imaging compressed sensing in fully balanced SSFP for prostate brachytherapy MRI without an endorectal coil: a prospective study

Author:Jeremiah Sanders  Steven Frank  Aradhana Venkatesan  Tharakeswara Bathala  Chad Tang  Rajat Kudchadker  Teresa Bruno  Mark Pagel  Jingfei Ma  

Institution:University of Texas MD Anderson Cancer Center  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0833  

Room Live Q&A Session:Wednesday Parallel 3  

Phase2Phase: Reconstruction of free-breathing MRI into multiple respiratory phases using deep learning without a ground truth

Author:Cihat Eldeniz  Weijie Gan  Sihao Chen  Jiaming Liu  Ulugbek Kamilov  Hongyu An  

Institution:Washington University in St. Louis  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0807  

Room Live Q&A Session:Wednesday Parallel 3  

A Pilot Evaluation of Amide Proton Transfer-Weighted (APTw) MR Imaging in Characteristics and Diagnosis of Premenopausal Breast Tumors

Author:nan zhang  Qingwei Song  Lina Zhang  Ailian Liu  Haonan Zhang  Yu Song  Liangjie Lin  Jiazheng Wang  Zhiwei Shen  

Institution:Philips Healthcare  The First Affiliated Hospital of Dalian Medical University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0842  

Room Live Q&A Session:Wednesday Parallel 3  

Pulmonary MR Imaging with Ultra-Short TE: Capability of Nodule Detection and Lung RADS Classification for Lung Cancer Screening

Author:Yoshiharu Ohno  Masao Yui  Daisuke Takenaka  Yoshimori Kassai  Kazuhiro Murayama  Takeshi Yoshikawa  

Institution:Canon Medical Systems Corporation  Fujita Health University School of Medicine  Hyogo Cancer Center  Kobe University Graduate School of Medicine  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0841  

Room Live Q&A Session:Wednesday Parallel 3  

Quantitative multi-parametric MRI of the prostate reveals differences between ethnicities

Author:Aritrick Chatterjee  Xiaobing Fan  Ambereen Yousuf  Tatjana Antic  Gregory Karczmar  Aytekin Oto  

Institution:University of Chicago  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0834  

Room Live Q&A Session:Wednesday Parallel 3  

Robustness of Texture Features on 3 Tesla Liver MRI.

Author:Vinay Prabhu  Nicolas Gillingham  Mary Bruno  James Babb  Henry Rusinek  Hersh Chandarana  

Institution:NYU Langone Health  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0818  

Room Live Q&A Session:Wednesday Parallel 3  

Synthetic magnetic resonance imaging-derived histogram metrics for prediction of lymph node metastasis in rectal cancer

Author:Li Zhao  Hongmei Zhang  Lizhi Xie  Xinming Zhao  

Institution:Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  GE Healthcare  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0838  

Room Live Q&A Session:Wednesday Parallel 3  

T1 and T2 relaxation time in synthetic MRI for differentiating benign and malignant breast lesions

Author:Shi yun SUN  Zhuo lin Li  Ying ying Ding  Yi fan Liu  Dong xue ZHANG  Li sha NIE  Ke XUE  Dian Ke DU  

Institution:GE Healthcare, Beijing  Yunnan Cancer Hospital,The Third Affiliated Hospital of Kunming Medical University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0822  

Room Live Q&A Session:Wednesday Parallel 3  

T2*-weighted MRI as a non-contrast enhanced method for assessment of focal laser ablation zone extent in prostate cancer thermotherapy

Author:Chongpeng Sun  Shiyang Wang  Aritrick Chatterjee  Milica Medved  Scott Eggener  Gregory Karczmar  Aytekin Oto  

Institution:University of Chicago  The First Affiliated Hospital of Guangzhou Medical University  University of Missouri  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0831  

Room Live Q&A Session:Wednesday Parallel 3  

Transfer Learning-Based Preoperative Prediction of Lymph Node Metastasis

Author:Renee Cattell  Jie Ding  Shenglan Chen  Chuan Huang  

Institution:Stony Brook University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0809  

Room Live Q&A Session:Wednesday Parallel 3  

Unsupervised radial streak artifact reduction in time resolved MRI

Author:Sagar Mandava  Ty Cashen  Daniel Litwiller  Tetsuya Wakayama  Ersin Bayram  

Institution:Global MR Applications & Workflow, GE Healthcare  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0812  

Room Live Q&A Session:Wednesday Parallel 3  

Value of quantitative DCE and DW-MRI in predicting extramural venous invasion in locally advanced gastric cancer and the prognostic significance

Author:Yongjian Zhu  Ying Li  Jun Jiang  Yutao Zhou  Liming Jiang  Liyan Xue  Lizhi Xie  

Institution:GE healthcare, China  National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0839  

Room Live Q&A Session:Wednesday Parallel 3  

Water and Fat Separation with a Dixon Conditional Generative Adversarial Network (DixonCGAN)

Author:Jong Bum Son  Ken-Pin Hwang  Marion E. Scoggins  Basak E. Dogan  Gaiane M. Rauch  Mark D. Pagel  Jingfei Ma  

Institution:The University of Texas MD Anderson Cancer Center  The University of Texas Southwestern Medical Center  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Image Optimization & Innovation  

Program Number:0823  

Room Live Q&A Session:Wednesday Parallel 3