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Keywords: quantitative imaging
| MO-C930-IePD-F9-1 | Can Abnormal Pudendal Nerve Be Detected and Evaluated Using MR DWI ADC Values - A Preliminary Study J James*, PhD, A Jawahar, MD, Department of Radiology, Loyola University Medical Center, Maywood, IL |
| MO-C930-IePD-F9-4 | A Comparison of Methods for Computing T1 in MOLLI Images A Moody1*, H Huber2, L Cox3, P Nathanielsz4, G Clarke1, (1) University of Texas Health Science Center, San Antonio, TX, (2) Texas Biomedical Research Institute, San Antonio, TX, (3) Wake Forest School Of Medicine, Winston-Salem, NC, (4) University Of Wyoming, Laramie, WY |
| MO-C930-IePD-F9-5 | Reducing Bias and Noise in T2* Measurements for Low-SNR Data: A Phantom Study G Anthony1,2*, X Zhang1,3, X Guan1, R Dharmakumar1,2,3, (1) Krannert Cardiovascular Research Center, Indiana University School of Medicine/IU Health Cardiovascular Institute, Indianapolis, IN 46202, (2) Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, (3) Department of Bioengineering, University of California in Los Angeles, Los Angeles, CA 90095 |
| MO-E115-IePD-F6-6 | A Hybrid Model Derived From Multi-Parametric MRIs for Predicting Neoadjuvant Chemoradiation Response in Locally Advanced Rectal Cancer Hao CHEN1*, Xing Li2, X. Sharon Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| MO-E115-IePD-F8-5 | Case-Based Repeatability of AI Classification On Multi-Modality Imaging of Breast Lesions Using DCE-MRI and FFDM H Whitney1,2*, K Drukker1, H Li1, A Edwards1, L Lan1, H Abe1, M Giger1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL |
| MO-FG-BRB-9 | MRI Detection of Iron Metabolism to Predict GBM Outcomes M Petronek*, C Lee, V Monga, J Buatti, J St-Aubin, D Spitz, V Magnotta, B Allen, University of Iowa Carver College of Medicine, Iowa City, IA |
| MO-FG-BRB-10 | An Integrated Machine Learning and Biomechanical Modeling Guided Deformable Image Registration Framework for Consistent Parenchymal Tissue Tracking in Lung CT Scans B Stiehl*, M Lauria, L Naumann, D O'Connell, P Boyle, I Barjaktarevic, D Low, A Santhanam, UCLA, Los Angeles, CA |
| MO-I430-BReP-F2-2 | Prospective Test-Retest Evaluation of Diffusion-Weighted MRI Sequences On a 1.5T MR-Linac and a 1.5T MR Simulator for Oropharyngeal Cancers in Vivo and in Phantoms B McDonald1*, T Salzillo1, S Mulder1, S Ahmed1, A Dresner2, K Preston1, R He1, J Christodouleas3, A Mohamed1, J Wang1, P Van Houdt4, A Dave5, M Boss6, C Fuller1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Philips Healthcare, Best, Netherlands, (3) Elekta, Inc., Stockholm, Sweden, (4) Netherlands Cancer Institute, Amsterdam, Netherlands, (5) Memorial Sloan Kettering Cancer Center, New York, NY, (6) American College of Radiology, Malvern, PA |
| PO-GePV-I-13 | Comparison of Patient-Specific Deep Learning Models for Enhancing 4D-CBCT Image for Radiomics Analysis Z Zhang1*, M Huang2, Z Jiang3, Y Chang4, K Lu5, Z Qiao6, F Yin7, P Tran8, D Wu9, C Beltran10, L Ren11, (1) Duke University, Durham, NC, (2) Mayo Clinic Florida, Jacksonville, FL, (3) Nanjing University, Nanjing, 32, CN, (4) University of Hospital of Pennsylvania, Philadelphia, PA, (5) Duke University, Chapel Hill, NC, (6) University of Florida, Gainesville, FL, (7) Duke University Medical Center, Chapel Hill, NC, (8) University of Maryland, Baltimore, MD, (9) University of Florida, ,,(10) Mayo Clinic, Jacksonville, FL, (11) University of Maryland, Baltimore, MD |
| PO-GePV-I-17 | Evaluation of Automatic Prostate Volume Generation for Cone-Beam CT-Based Delta-Radiomics of Prostate Cancer A Deana, R Delgadillo, R Schmidt, B Spieler, J Ford, D Kwon, M Studenski, K Padgett, M Abramowitz, A Dal Pra, R Stoyanova, N Dogan*, University of Miami, Miami, FL |
| PO-GePV-I-24 | The ACR MRI QC Low-Contrast Detectability Test and the Rose Model H Gach1*, (1) Washington University School of Medicine in St. Louis, St. Louis, MO |
| PO-GePV-I-59 | Variability of Radiomics Features with O-MAR Iterative Reconstruction J Foy*, Northwestern University, Chicago, IL |
| PO-GePV-I-69 | Investigating the Effect of Reducing Radiation Dose On Quantitative Imaging Features Extracted From CT Renal Perfusion Protocol M Daly*, M Wahi-Anwar, G Melendez-Corres, G Kim, S Raman, M McNitt-Gray, David Geffen School of Medicine at UCLA, Los Angeles, CA |
| PO-GePV-I-84 | Color Cherenkov Imaging Can Correct for Variations in Skin Melanin Concentration When Monitoring Radiation Dose Delivery V Wickramasinghe1*, S Decker2, R Zhang3, P Bruza4, D Gladstone5, D Alexander6, B Pogue7, (1) Dartmouth College, White River Junction, VT, (2) Dartmouth College, Hanover, NH, (3) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH, (4) Dartmouth College, Hanover, NH, (5) Dartmouth College, Hanover, New Hampshire, (6) Dartmouth College, Lebanon, NH, (7) University of Wisconsin-Madison, Madison, WI |
| PO-GePV-I-97 | Detection of Coronary Artery Inflammation Using Dual Energy CT S Nie*, S Molloi, University of California, Irvine, CA |
| PO-GePV-M-62 | Novel Quantitative Tool for Assessing Pulmonary Disease Burden in COVID-19 Using Ultrasound H Sagreiya1*, M Jacobs2, A Akhbardeh2, (1) University of Pennsylvania, Philadelphia, PA, (2) Johns Hopkins University, Baltimore, MD |
| PO-GePV-M-341 | Mapping Tissue Oxygenation in Vivo with MRI Z Zhang*, Washington University School of Medicine, Saint Louis, MO |
| PO-GePV-M-344 | Evaluation of Diversity in the Medical Imaging and Data Resource Center (MIDRC) Open Data Commons H Whitney1,2*, N Baughan1, K Drukker1, K Myers3, M Giger1, MIDRC Bias and Diversity Working Group1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL, (3) Food and Drug Administration, retired |
| PO-GePV-M-346 | Predicting Overall Survival for Patients with Oropharyngeal Cancer Using An Interpretable Machine Learning Algorithm X Pan1*, T Feng2, C Liu3, X Qi4, (1) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (3) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (4) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-347 | A Multi-Objective Radiomic Model for Predicting Survival in Patients with Oropharyngeal Cancer X Pan1*, C Liu2, T Feng3, X Qi4, (1) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (3) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (4) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-348 | Interpretable Feature-Specific Generative Adversarial Network Model for 3D CBCT Image Enhancement for Radiomics Z Qiao1*, Z Zhang2, Z Jiang3, Y Lai4, J Lee5, D Wu6, C Beltran7, L Ren8, M Huang9, (1) University of Florida, Gainesville, FL, (2) Duke University, Durham, NC, (3) Duke University, Durham, NC, (4) University of Texas at Arlington, Arlington, TX, (5) Duke Radiation Oncology, ,,(6) University of Florida, ,,(7) Mayo Clinic, Jacksonville, FL, (8) University of Maryland, Baltimore, MD, (9) Mayo Clinic Florida, Jacksonville, FL |
| PO-GePV-T-205 | Quantifying Accuracy of Optical Imaging Surface Dosimetry A Niver*, B Pogue, University of Wisconsin-Madison, Madison, WI |
| SU-E-201-3 | Characterizing Lung Tumor Rigidity Via Ventilation-Induced Tumor Deformation: Implications On the Prognosis of Lung Squamous Cell Carcinoma Y Lao1*, W Yang2, D Moghanaki1, K Sheng1, (1) University of California-Los Angeles, Los Angeles, CA, (2) University of Southern California, Los Angeles, CA |
| SU-F-202-2 | A Method for Partial Volume Correction of Dose Distributions Derived From PET-Based Theranostic Dosimetry IR Marsh1*, TJ Bradshaw2, JJ Grudzinski2, R Hernandez2, E Aluicio-Sarduy2, BP Bednarz2, (1) Johns Hopkins University, Baltimore, MD, (2) University of Wisconsin-Madison, Madison, WI |
| SU-F-202-6 | Comparison of Physiologic FDG PET Uptake in CT-Based Vs PET-Corrected Organ Contours in Non-Small Cell Lung Cancer Patients O Lokre*, A Weisman, T Perk, AIQ Solutions, Madison, WI |
| SU-F-206-7 | Patient-Specific Adjuvant Chemotherapy Decision Making Using Radiomics for Locally-Advanced NPC: A Multicenter Retrospective Study X Teng1*, J Zhang1, Z Ma1, X Han1, S Lam1, H Xiao1, C Liu1, W Li1, Y Huang1, F Lee2, W Yip3, A Cheung1, H Lee4, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong (2) Queen Elizabeth Hospital, Hong Kong (3) Hong Kong Sanatorium and Hospital (4) The University Of Hong Kong |
| SU-F-207-1 | A Multi-Parametric Quantitative MR Protocol for Pre-Operative Radiotherapy Response Assessment in Soft-Tissue Sarcomas I Thrussell1,2*, J Winfield1,2, C Messiou1,3, S Usman2, J Newman2, R Simoes1,4, G Hopkinson2, S Zaidi1,4, A Miah1,4, M BLACKLEDGE1,2, (1) Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK, (2) MRI, The Royal Marsden NHS Foundation Trust, London, UK,(3) Department of Radiology, The Royal Marsden NHS Foundation Trust, London, UK,(4) Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, UK |
| SU-F-BRC-5 | Tracking Intrafractional Motion Using Orthogonal MV-KV Images in Paraspinal SBRT Treatment: Pilot Results On Clinical Patients Q Fan, H Pham, T Li, P Zhang, L Cervino, J Moran, X Li*, Memorial Sloan Kettering Cancer Center, New York, NY |
| SU-H400-IePD-F5-2 | Radiomics-Based Multiple Prognosis Prediction Using Mutual Information Between Treatment Outcomes as Prior Knowledge in Nasopharyngeal Carcinoma Z Ma1*, J Zhang1, X Teng1, S Lam1, X Han1, H Xiao1, C Liu1, W Li1, Y Huang1, F Lee2, W Yip3, A Cheung1, H Lee4, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong (2) Queen Elizabeth Hospital, Hong Kong (3)Hong Kong Sanatorium and Hospital(4) The University Of Hong Kong |
| SU-H430-IePD-F6-4 | The Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c: Developing Tools to Assist in Task-Specific Performance Evaluation for Machine Learning Algorithms Employing MIDRC Data K Drukker1, B Sahiner2, T Hu2, G Kim3, H Whitney1,4, N Baughan1, K Myers5, M Giger1, M McNitt-Gray3*, (1) University of Chicago, Chicago, IL, (2) US Food and Drug Administration, Silver Spring, MD, (3) David Geffen School of Medicine at UCLA, Los Angeles, CA, (4) Wheaton College, Wheaton, IL, (5) US Food and Drug Administration (retired),Phoenix, AZ |
| SU-I400-BReP-F1-3 | Reducing Parametric Maps’ Error by Sliding Window Reconstruction and Inter-Phase Data Sharing in Low-Rank Four-Dimensional Magnetic Resonance Fingerprinting (4D-MRF) Y Wong1*, C Liu2, T Li3, J Cai4, (1) The Hong Kong Polytechnic University, ,,(2) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (3) The Hong Kong Polytechnic University, Hong Kong, ,HK, (4) The Hong Kong Polytechnic University, Hong Kong, ,CN |
| SU-J-202-3 | A Raw Data Correction and Iterative Reconstruction Pipeline for Quantitative CBCT-Guided Radiation Therapy F Bayat*, M Eldib, M Miften, C Altunbas, University of Colorado School of Medicine, Aurora, CO |
| TH-B-207-1 | Evaluation of Shear Forces Within Stenotic Vessel Models Using 1000 Fps X-Ray Particle Image Velocimetry (X-PIV) A Shields*, D Bednarek, S Rudin, University at Buffalo (SUNY) School of Medicine, Buffalo, NY |
| TH-D-201-2 | Edge-On Silicon Photon-Counting CT: Assessment of Diagnostic Value in a Virtual Imaging Trial R Panta1*, M Bhattarai2, Z Yin3, E Abadi4, P Segars5, E Samei6, (1) Duke University Medical Center, Durham, NC, (2) Duke University, Durham, NC, (3) GE Healthcare, Waukesha, WI, (4) Duke University, Durham, NC, (5) Duke Univ, Durham, NC, (6) Duke University Health System, Durham, NC |
| TH-E-BRB-0 | Novel Interventional Procedures Involving Microspheres M Lam1*, S Manupiatpong2*, W Erwin3*, S Abbasinejad Enger4*, (1) Utrecht Medical Center, Utrecht, NL, (2) Johns Hopkins University, Baltimore, MD, (3) UT MD Anderson Cancer Center, Houston, TX, (4) McGill University, Montreal, QC, CA |
| TH-E-BRC-1 | A Systematic Comparison of DNN-Based Lung CT Elastography Using Auto-Encoder, U-Net, Conditional and Cycle Generative Adversarial Network Techniques B Stiehl*, M Lauria, L Naumann, D O'Connell, P Boyle, I Barjaktarevic, D Low, A Santhanam, UCLA, Los Angeles, CA |
| TH-F-201-4 | Experimental Validation of Single-Shot Quantitative X-Ray Imaging Using Primary Modulation and a Dual-Layer Detector L Shi*, N Bennett, A Wang, Stanford University, Stanford, CA |
| TH-F-201-6 | Validation of Dual-Energy CT Based Composition Analysis Using Fresh Animal Tissues and Novel, Non-Epoxy Tissue Equivalent Samples K Niepel1*, S Tattenberg12, R Marants3, T Bortfeld2, J Verburg2, G Landry41, A Sudhyadhom3, K Parodi1, (1) Ludwig-Maximilians-Universitat Munchen, Garching, BV, DE, (2) Massachusetts General Hospital and Harvard Medical School, Boston, MA, (3) Brigham and Women's Hospital, Boston, MA, (4) University Hospital, LMU Munich, Munich, BV, DE |
| TU-AB-207-0 | Advanced MR in the Clinic Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-1 | T1/T2/T2* Mapping Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-2 | Diffusion MRI Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-3 | Perfusion MRI Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-4 | Functional MRI Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-5 | MR Elastography Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-6 | MR Spectroscopy Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-207-7 | Q & A Q Yuan1*, X Zhou2*, Y Jung3*, H Liu4*, C Lin5*, S Einstein6*, (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Illinois College of Medicine at Chicago, Chicago, IL, (3) University of California, Davis, Sacramento, CA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) Mayo Clinic, Jacksonville, FL, (6) Penn State Hershey Medical Center, Hershey, PA |
| TU-AB-BRC-0 | Biomarkers of Response to Radiation and Immune Modulating Therapies for Advanced Cancer Management D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-1 | Introduction to the Biomarker Landscape D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-2 | Evolving Paradigm for Assessing Response to Immunomodulatory Therapies D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-3 | Radiomics of Radiation and Immune Response Patterns D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-4 | Clinical and Preclinical Imaging of the Immune System D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-5 | Role of Molecular Diagnostics and Advanced Tumor Tissue Analysis To Guide Optimal Anti-Cancer Treatment D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-6 | Combining Imaging & Circulating Biomarkers of Response To Personalize Chemo-Immunotherapy and Radiation Therapy D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-7 | Panel Discussion D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-D930-IePD-F3-1 | Ex Vivo Quantitative X-Ray Fluorescence Analysis of Gold Nanoparticle Based On Machine Learning D Hara*, W Tao, N Dogan, A Pollack, J Ford, J Shi, University of Miami, Miami, FL |
| TU-D930-IePD-F5-4 | Four-Dimensional Magnetic Resonance Fingerprinting (4D-MRF) Using Motion Compensation and Alternating Direction Method of Multipliers (ADMM) for Liver Cancer Radiotherapy C Liu1, T Li1, P Cao2, E Hui1, Y Wong1, Z Wang2, H Xiao1, W Li1, X Teng1, J Zhang1*, A Cheung2, H Lee2, M Ying1, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, China (2) The University Of Hong Kong, Hong Kong, China |
| TU-D930-IePD-F9-4 | Normalization of Temperature Effects for Quality Assurance of Quantitative Prostate Apparent Diffusion Coefficient (ADC) Imaging Across Multiple Sites KP Hwang*, J Yung, RJ Stafford, AM Venkatesan, The University of Texas MD Anderson Cancer Center, Houston, TX |
| TU-D930-IePD-F9-5 | Effects of DWI Pulse Sequence Parameters and Type On ADC Map Calculation at 3T in a Quantitative MRI Phantom J Yu*, A Silva, Y Zhou, A Panda, Mayo Clinic Arizona, Scottsdale, AZ |
| TU-J430-BReP-F1-3 | Raman-Encoded Molecular Imaging and Lipidomics as Predictors of Pancreatic Cancer Microenvironment Changes During Treatment with 3-Bromopyruvate E Sheikh1*, K Agrawal2, S Roy3, M Gartia4, H Shukla5, N Biswal6, (1) Department Of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA,(2) Department Of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA,(3) University Of Maryland School Of Medicine, Baltimore, MD,(4) Department Of Mechanical And Industrial Engineering, Louisiana State University, Baton Rouge, LA,(5) University Of Maryland School Of Medicine, Baltimore, MD,(6) University of Maryland, School of Medicine, Baltimore, MD |
| WE-C1000-IePD-F1-4 | The Potential Role of Radiomic-Driven Treatment Decision-Making for Locally Advanced NPC X Han1, X Teng1, J Zhang1, Z Ma1*, S Lam1, H Xiao1, C Liu1, W Li1, Y Huang1, F Lee2, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, (2) Queen Elizabeth Hospital, Hong Kong |