MENU

Click here to

×

Are you sure ?

Yes, do it No, cancel

DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: Quantitative Imaging
BReP-SNAP-I-28Integrated Intensity-Based Quantification of Small Airway Dimensions Using Computed Tomography
Y Zhao, S Molloi*, University of California-Irvine, Irvine, CA
BReP-SNAP-I-39Phantom-Guided Optimization of BSREM Reconstruction Parameters Using Shell-Less Radioactive Epoxy Lesions for [18F]F-DCFPyL Prostate Cancer Imaging
R Fedrigo1;2*, D Kadrmas3, P Edem4, F Benard1;2;4, A Rahmim1;2;4, C Uribe-Munoz4, (1) BC Cancer Research Centre, Vancouver, BC, CA, (2) University of British Columbia, Vancouver, BC, CA, (3) University of Utah, Salt Lake City, Utah (4) BC Cancer, Vancouver, BC, CA,
BReP-SNAP-M-19Association of Lung CT Voxel-Based Radiomics Feature Map with Galligas PET Lung Ventilation Imaging
Z Yang*, K Lafata, X Chen, Y Chang, F Yin, Duke University, Durham, NC
BReP-SNAP-M-46CT-Based Radiomics Analysis: A New Imaging Biomarker in Chronic Obstructive Pulmonary Disease?
R Au1*, V Liu1, M Koo1, W Tan2, J Bourbeau3, J Hogg2, H Coxson2, M Kirby1, (1) Ryerson University, Toronto, Ontario, Canada, (2) Centre For Heart Lung Innovation, University Of British Columbia, Vancouver, British Columbia, Canada, (3) McGill University, Montreal, Quebec, Canada
BReP-SNAP-M-113Predicting Glioblastoma Cell Motility with Radiomics
K Mulford*, M McMahon, D Odde, C Wilke, University of Minnesota, Minneapolis, Minnesota
BReP-SNAP-M-119Quantification of Lung Ventilation Using Voxel-Based Delta Radiomics Extracted From Thoracic 4DCT
X Chen1*, K Lafata2, Z Yang3, F Yin4, (1) ,Durham, NC, (2) Duke University, Durham, NC, (3) Duke University, Durham, NC, (4) Duke University, Durham, NC
BReP-SNAP-M-135Simplification of Transmission Factor Determination for I-131 Gamma Camera Based Internal Dosimetry with Co-57 Solid Flood Source
Q Liang1*, L Chen2, R Klein3, J Halama4, R Harvey5, J Schwartz6, D Fisher7, (1) Actinium Pharmaceuticals, New York, NY, (2) Banner MD Anderson Cancer Center, Gilbert, AZ, (3) The Ottawa Hospital, Ottawa, ON, Canada, (4) Loyola Univ Medical Center, Maywood, IL, (5) Roswell Park Cancer Institute, Buffalo, NY, (6) Memorial Sloan Kettering Cancer Center, New York, NY, (7) Versant Medical Physics And Radiation Safety, Richland, WA
MO-CD-TRACK 1-2First-Time Imaging of Light Generation in the Eye During Radiotherapy
I Tendler1*, A Hartford2,3, M Jermyn1,4, E Larochelle1, X Cao1, V Borza1, D Alexander1, P Bruza1, J Hoopes3,5, K Moodie3, B Marr6, B Williams2,3, B Pogue1,4,5, D Gladstone1,2,3, L Jarvis2,3, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH (2) Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire (3) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH (4) DoseOptics LLC, Lebanon, NH (5) Department of Surgery, Geisel School of Medicine, Dartmouth College, Hanover, NH (6) Department of Ophthalmic Oncology, Columbia University Medical Center, New York, NY
MO-CD-TRACK 1-4Production, SPECT Imaging, and Initial Evaluation of 67Cu for Theranostic Applications
M Merrick1*, D Rotsch2, A Tiwari1, J Nolen2, T Brossard2, J Song2, T Wadas1, J Sunderland1, S Graves1, (1) University of Iowa, Iowa City, IA, (2) Argonne National Laboratory, Lemont, IL
MO-F-TRACK 1-2Improved Repeatabilityof Intra and Extra Myocellular Lipids Quantification Using Diffusion Tensor Imaging (DTI) and Dixon Imaging Guided Proton MR Spectroscopy in Skeletal Muscle
J Zhang1,2, C Arena2, A Ajala3, E Buko3, M Dotson2, R Muthupillai2,3*, (1) Department of Medical Physics and Radiation Oncology,University of Vermont Medical Center, Burlington, VT, (2)Department of Physics and Interventional Radiology,CHI St Luke's Health Baylor St Luke's Medical Center, Houston,TX(3) Department of Physics, University of Houston, Houston, TX,
MO-F-TRACK 1-6Automated Quantification of Spatially Abnormal 129-Xe MRI Ventilation and Perfusion: Implications for Lung Cancer, Asthma, and COPD Interventions
M Mcintosh*, R Eddy, J Macneil, A Matheson, G Parraga, Robarts Research Institute, Western University, London, ON, CA
MO-F-TRACK 1-7Multi Time-Point Radiomics Data for Pathological Complete Response (pCR) Prediction After Neo-Adjuvant Chemoradiation for Locally Advanced Rectal Cancer
M diMayorca1*, Y Zhang2, L Shi3, X Sun4, S Jabbour5, Y Zhang6, N Yue7, K Nie8, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) University of California Irvine, Irvine, CA, (3) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (4) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (5) Rutgers Cancer Institute Of New Jersey, New Brunswick, NJ, (6) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (7) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (8) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
PO-GeP-I-5A Deep Learning Approach On Cirrhosis Diagnosis Utilizing Ultrasound B-Mode Images of Segmented Liver Left Lobes Using Liver Biopsy as the Gold Standard
P Drazinos1, I Gatos2, S Tsantis2, 3, P Zoumpoulis1, I Theotokas1, D Mihailidis4, G Kagadis2*, (1) Diagnostic Echotomography S.A.,Athens, GR, (2) University of Patras, Rion, GR, (3) University of West Attica, Athens, GR, (4) University of Pennsylvania, Philadelphia, PA, USA
PO-GeP-I-10A Method for Assessing Confidence of Dual-Contrast Photon-Counting CT Material Quantification
C Leary*, T Griglock, Oregon Health & Science Univ, Portland, OR
PO-GeP-I-13A Novel Linear Model for Quantitative Magnetic Resonance Imaging Based On Spin Echo Sequence: A Feasibility Study
S Li*, Y Zhang, H Wu#, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, BeijingCN, #corresponding author: Hao Wu; email: hao.wu@bjcancer.org
PO-GeP-I-22Accuracy of Dual-Energy CT Virtual Non-Contrast/unenhanced and Material Density Images: A Phantom Study
B Li*, M Pomerleau, A Gupta, J Soto, S Anderson, Boston University Medical Center, Boston, MA
PO-GeP-I-48Characterization of Liver and Pancreatic Tumor Motion Using Real-Time Planar Cine MR Images
D Gunasekara1*, J Darko1, E Osei1, B Maraghechi2, T Mazur2, H Li2, (1) Grand River Regional Cancer Center, Kitchener, ON, CA, (2) Washington University School of Medicine, St. Louis, MO, USA
PO-GeP-I-139Improvement of Image Quality Using Image-Domain Multi-Material Decomposition Framework for Dual-Energy CT
H Lee*, H Kim, S Choi, Yonsei University, Wonju, GangwonKR,
PO-GeP-I-143Inter-Scanner T1 and T2 Mapping Evaluation Using Multiple MRI Phantoms at 3T
J Yu*, S Fahrenholtz, Y Zhou, W Sensakovic, A Panda, Mayo Clinic, Phoenix, AZ
PO-GeP-I-148Matching Convolution Kernels and Iterative Reconstruction for Quantitative Accuracy and Noise Power Spectrum in Dual-Layer and Dual-Source Spectral CT
G Anthony*, Y Liang, Indiana University, Indianapolis, IN
PO-GeP-I-161Optimization of [18F]FDG Injected Activity for a New GE Discovery MI PET/CT Scanner Using a NEMA Phantom
A Hart1*, T O'Briain1, M Bazalova-Carter1, A Rahmim2,3, W Beckham1,3, C Uribe-munoz4, (1) University of Victoria, Victoria, BC, CA, (2) University of British Columbia, Vancouver, BC, CA, (3) BC Cancer, Victoria, BC, (4) BC Cancer, Vancouver, BC, CA
PO-GeP-I-173Prospective Study Using Delta-Radiomics and MRI Biomarkers to Assess Tumor Response of the Dominant Intraprostatic Lesion (DIL) at Multiple Treatment Time Points
M Dumas*, E Mohamed, E Carver, A Feldman, M Pantelic, D Hearshen, B Movsas, I Chetty, N Wen, Henry Ford Health System, Detroit, MI
PO-GeP-I-180Quantitative Image Guided DECT Interventions: A Potential New Theranostic for Thermochemical Ablation
E Thompson*, M Jacobsen, R Layman, E Cressman, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-I-181Quantitative Imaging of 177Lu in the Presence of 90Y for Peptide Receptor Radionuclide Therapy: A Simulation Study
C Miller1*, A Rahmim12, C Uribe-munoz34, A Celler4, (1) Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, CA (2) Department of Integrative Oncology, BC Cancer Research Centre, Vancouver, BC, CA (3) PET Functional Imaging, BC Cancer Research Centre, Vancouver BC, CA (4) Department of Radiology, University of British Columbia, Vancouver, BC, CA
PO-GeP-I-210The Linearity and Bias of Proton Density Fat Fraction (PDFF) Quantification at MRI Using a Micro-Emulsion Phantom
H Cho1*, C Lee1, B Ahn1, S Seok2, C Hong3, (1) Korea Research Institute of Standards and Science, Daejeon, Korea, (2) Hanyang University Medical Center, Seoul, Korea, (3) Daegu Catholic University, Daegu, Korea
PO-GeP-I-221Tumor-Specific 99mTc-Sestamibi Quantification in Molecular Breast Imaging with Monte Carlo Simulation
B Lopez*, F Guan, G Rauch, S Kappadath, University of Texas MD Anderson Cancer Center, Houston, TX, USA
PO-GeP-M-126CT Image Parameter Estimation Using PCA-Based Deep Learning in Chronic Obstructive Pulmonary Disease
A Moslemi1*, W Tan2, J Bourbeau3, J Hogg2, H Coxson2, M Kirby1, (1) Ryerson University, Toronto, Ontario, CA, (2) Centre For Heart Lung Innovation, University Of British Columbia, (3) McGill University
PO-GeP-M-156Differentiating the Pathological Subtypes of Primary Lung Cancer for Patients with Brain Metastases Based On Radiomics Features From Brain CT Images
X Jin1*, Z Ji2, C Xie3, (1) Wenzhou Medical University First Hospital, Wenzhou, ,CN, (2) ,,,(3) ,Wenzhou, ,CN
PO-GeP-M-188Establishment and Validation of a Multi-Omics Nomogram to Predict Lymph Node Metastasis of Esophageal Squamous Cell Carcinoma
Z Li1, B Li2*, (1)University of Jinan,Jinan, Shandong Province, CN, (2)Shandong Cancer Hospital and Institute, Jinan,Shandong Province,CN; Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Province,CN;
PO-GeP-M-195Evaluating the Efficacy of Regression Models in Radiomics: A Study with NSCLC Patients
HHF Choi1*, (1) ,Vancouver, BC, CA
PO-GeP-M-239Identifying Robust Radiomic Features Extracted From Images Generated by 0.35T MR-Linac
R Ericsson-szecsenyi1*, G Zhang2, G Redler2, K Latifi2, V Feygelman2, M Tomaszewski2, E Moros2, (1) University of Lund, (2) H. Lee Moffitt Cancer Center, Tampa, FL
PO-GeP-M-258Individualized Prediction of Local Recurrence After Radical Surgery for Esophageal Squamous Cell Carcinoma: Development and Validation of Radiomics Nomogram
Z Li1, B Li2*, (1) University of Jinan, Jinan, Shandong, CN, (2) Shandong Cancer Hospital and Institute,Jinan, Shandong,CN;Shandong First Medical University and Shandong Academy of Medical Sciences,Jinan, Shandong,CN.
PO-GeP-M-274Investigation of Radiomics Modelling Discriminability of Tumor Subvolumes in Predicting Distant Metastasis After Radiotherapy in Advanced Nasopharyngeal Carcinoma
T Yu1*, X Teng2, S Lam3, J Zhang4, F Lee5, K Au6, W Yip7, J Cai8, (1) Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, (2) Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, (3) Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, (4) The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, (5) Queen Elizabeth Hospital, Hong Kong SAR, (6) Hong Kong Queen Elizabeth Hospital,Hong Kong SAR(7) Queen Elizabeth Hospital, Hong Kong,Hong Kong SAR, (8) Hong Kong Polytechnic University, Hong Kong SAR
PO-GeP-M-300MRI Radiomic Analysis for Survival Prediction in Diffuse Midline Glioma
L Tam1, M Han1, D Yecies1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA
PO-GeP-M-309Multi-Section CT Radiomics Can Accurately Predict Postoperative Recurrence in Esophageal Squamous Cell Cancer Patients Achieving PCR After Neoadjuvant Chemoradiotherapy Followed by Surgery
Q Qiu1*, J Duan1, H Deng2, Z Han3, J Gu1, Y Yin1, (1) Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, CN, (2) Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, CN (3) Yantai Yuhuangding Hospital, Yantai, Shandong, CN
PO-GeP-M-323Partial Volume Correction (PVC) in Quantitative 18F-FDG PET/CT Imaging On Intratumoral Dose Response Assessment
S Chen*, S Chang, D Krauss, D Yan, William Beaumont Hospital, Royal Oak, MI
PO-GeP-M-329Predicting Prognosis of Posterior Fossa Ependymoma Using MRI Radiomics
L Tam1, D Yecies1, M Han1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA
PO-GeP-M-332Predicting Tumor Control Using Geometric Features of Hypoxia Measured with EPRI
H Smith1*, I Gertsenshteyn2,3, B Epel2,3, E Barth2,3, M Maggio3, S Sundramoorthy2,3, H Halpern2,3, (1) Department of Radiology, University of Chicago (2) Department of Radiation and Cellular Oncology, University of Chicago (3) National Institutes of Health Center for EPR Imaging In Vivo Physiology, University of Chicago, Chicago,IL
PO-GeP-M-338Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery
E Gates*, D Suki, J Weinberg, S Prabhu, D Fuentes, D Schellingerhout, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-M-339Prospective Evaluation of Serial Quantitative MR Imaging of Patients with Brain Cancer On a 0.35T MR-Linac
S Nejad-Davarani1*, N Zakariaei1, N Hurst1, S Siddiqui1, J Snyder1, T Walbert1, Y Chen2, E Haacke2, C Glide-Hurst1, (1) Henry Ford Cancer Institute, Detroit, MI (2) Wayne State University, Detroit, MI
PO-GeP-M-415Using Radiomics to Study Statin Use and Omega-3 Use in Prostate Cancer Patients
D Zheng1*, Y Shi2, E Wahle1, L Krajewski1, X Liang3, Q Du2, C Zhang2, S Zhou1, M Baine1, (1) University of Nebraska Medical Center, Omaha, NE, (2)University of Nebraska Lincoln, Lincoln, NE,(3)University of Florida, Jacksonville, FL
PO-GeP-M-431Voxel Forecast Classifier to Predict Spatially Variant Binary Tumor Voxel Response On Longitudinal FDG-PET/CT Imaging of FLARE-RT Protocol Patients
S Bowen1*, D Hippe1, W Chaovalitwongse2, P Thammasorn2, X Liu2, R Iranzad2, R Miyaoka1, H Vesselle1, P Kinahan1, R Rengan1, J Zeng1, (1) University of Washington, School of Medicine, Seattle, WA, (2) University of Arkansas, Fayetteville, AR
PO-GeP-M-437Young-S Modulus Reconstruction From Ultrasound Breast Images
C Rabin*, N Benech, Facultad de Ciencias - Universidad de la Republica Montevideo UY
SU-B-TRACK 2-1BEST IN PHYSICS (MULTI-DISCIPLINARY): Parameters for In-Vivo Quantitative Ultrasound Evaluation of Subresolution Scattering Sources in Carotid Atherosclerotic Plaque
C Steffel*, S Salamat, S Wilbrand, R Dempsey, C Mitchell, T Varghese, University of Wisconsin-Madison, Madison, WI
SU-B-TRACK 2-7Application of Theranostic Gadolinium Based Nanoparticles Loaded in Next Generation Radiotherapy Biomaterials for Magnetic Resonance-Image-Guided Radiotherapy
R Mueller1,2,3*, M Moreau3,4,5, S Yasmin-Karim3,4, O Tillement6, R Berbeco3,4, J Hesser1,2,7,8, W Ngwa3,4,5, (1) Department Data Analysis and Modeling in Medicine, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, 69117 Heidelberg, Germany (2) Heidelberg University, 69117 Heidelberg, Germany (3) Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, MA 02115, USA (4) Harvard Medical School, Boston, MA 02115, USA (5) University of Massachusetts Lowell, Lowell, MA 01854, USA (6) Institut Lumière Matière, UMR5306, Université Lyon1-CNRS, Université de Lyon, Villeurbanne, France (7) Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany (8) Central Institute for Computer Engineering (ZITI), Heidelberg University, 68159 Mannheim, Germany
SU-CD-TRACK 2-7A Random Forest Machine-Enabled Diagnostic Algorithm Combing Quantitative CT Radiomics and Clinical Factors for the Identification of Patients with Corona Virus Disease-19 (COVID-19): A Discovery and Validation Study
X Li1,2*, J Li3, X Zhao4, Z Ding1, B Yang1, Q Deng1, S Ma2, Y Kuang5, (1) Hangzhou Cancer Hospital, Hangzhou First People's Hospital Group, Hangzhou, China, (2) Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China, (3) Zhejiang University of Traditional Chinese Medicine, Hangzhou, China, (4) Hangzhou Municipal Health Commission, Hangzhou, China, (5) University of Nevada, Las Vegas, NV
SU-D-TRACK 1-2Quantifying Cancer Receptor Expression Using Dynamic MRI and Fluorescence Tomography Fusion Imaging System
B Meng1*, M Folaron2, B Byrd3, R Strawbridge4, K Tichauer5, K Samkoe6, S Davis7, (1) Dartmouth College, Lebanon, NH, AF, (2) Dartmouth College, ,,(3) Dartmouth College, ,,(4) Dartmouth College, ,,(5) Illinois Institute of Technology, ,,(6) Dartmouth College, ,,(7) Dartmouth College,
TH-B-TRACK 3-7Spatiotemporal Quantification of PSMA-Targeted Gold Nanoparticles Through X-Ray Fluorescence Computed Tomography
D Hara1*, J Ford2, (1) University of Miami, Miami, FL, (2) University of Miami Miller School of Medicine, Miami, FL
TH-B-TRACK 5-0Outcome Modeling and Response Prediction
X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA
TH-B-TRACK 5-1Introduction: outcome modeling and response prediction from analytic to data-driven
X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA
TH-B-TRACK 5-2Radiomics and radiogenomics modeling with machine learning
X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA
TH-B-TRACK 5-3Multimodality radiomics and deep learning for outcome modeling: application in head & neck cancer
X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA
TH-B-TRACK 5-4Opportunities and challenges of outcome modeling & response prediction for radiation therapy
X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA
TH-D-TRACK 1-4In Vivo Longitudinal Quantification of Radiopacity of a Nanoparticle-Infused Biodegradable Inferior Vena Cava Filter in a Porcine Model
J Perez1*, J Damasco1, M Jacobsen2, A Melancon3, M Eggers4, S Huang1, R Layman2, M Melancon1, (1) Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, (2) Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, (3) Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, (4) Adient Medical Inc., 12234 Shadow Creek Parkway, Building 8, Suite 106, Pearland, TX 77584
TU-EF-TRACK 1-0Quantitative Ultrasound Imaging: From Benchtop to a Clinical Protocol
T Hall1*, J Fowlkes2*, M Averkiou3*, J Mamou4*, I Rosado-Mendez5*, (1) University of WI-Madison/ADCL, Madison, WI, (2) University Michigan Health Systems, Ann Arbor, MI, (3) University of Washington, Seattle, WA, (4) Riverside Research Institute, New York, NY, (5) Universidad Nacional Autonoma de Mexico, Mexico, MX
WE-D-TRACK 1-6Comparison of Automated Methods for Detection and Prognostication in Metastatic Prostate Cancer Using 18F-NaF PET/CT Images
B Schott*1, A J Weisman1, T G Perk1, A R Roth1, S Yip2, G Liu1, R Jeraj13, (1) University of Wisconsin, Madison, WI, (2) AIQ Solutions, Madison, WI, (3) University of Ljubljana, Slovenia
WE-E-TRACK 2-2From CT Scans to 3D Prints: Feasibility of 3D Printing CT Radiomic Phantoms for Standardization and Validation of Quantitative CT Measurements
U Mahmood1*, A Apte1, C Kanan2, D Bates1, G Corrias1, L Mannelli1, J Oh1, Y Erdi1, J Deasy1, A Dave1, (1) Memorial Sloan Kettering Cancer Center, (2) Rochester Institute Of Technology