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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: Brain
BReP-SNAP-I-22Imaging the Metabolic Evolution of Glioblastoma Throughout Tumor Regression Following Radiotherapy to the Point of Relapse with Hyperpolarized Magnetic Resonance Imaging
T Salzillo*1,2, J Gumin1, J Lee1, N Zacharias1, F Lang1,2, P Bhattacharya1,2, (1) University of Texas M.D. Anderson Cancer Center, Houston, TX (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX
BReP-SNAP-I-40Predicting Tumor Displacement From Intraoperative Magnetic Resonance Imaging Using Viscoelastic Finite Element Biomechanical Modelling
A Lesage*, M Chen, A Sen, G Cazoulat, J Weinberg, K Brock, UT MD Anderson Cancer Center, Houston, TX
BReP-SNAP-M-6A Deep Learning Model to Predict a Diagnosis of MCI by Using Static and Dynamic Brain Connectomics
D Cui1,2, J Jin2, Z Liu2, T Yin2*, (1) Shandong First Medical University, Taian, 37, CN, (2) Institute Of Biomedical Engineering, Chinese Academy Of Medical Sciences, Tianjin, CN
BReP-SNAP-M-113Predicting Glioblastoma Cell Motility with Radiomics
K Mulford*, M McMahon, D Odde, C Wilke, University of Minnesota, Minneapolis, Minnesota
PO-GeP-I-29Altered Volume of Hippocampus Subfield in Pediatric Bipolar Disorder Patients Revealed by Structural MRI
L Kuang1, Y Guo2, D Cui3, Q Jiao4*, W Cao5, W Gao6, L Su7, G Lu8, (1) ,,,(2) Shandong First Medical University, ,,(3) Shandong First Medical University, Taian, 37, CN, (4) Shandong First Medical University, Taian, 37, CN, (5) Shandong First Medical University &Shandong Academy of Medical Sciences, Tai'an, 37, CN, (6) Zhejiang University School of Medicine, ,,CN, (7) Key Laboratory of Psychiatry and Mental Health of Central South University, ,,CN, (8) Clinical School of Medical College, Nanjing University, ,,CN
PO-GeP-I-32An Optimised Diffusion MRI Technique To Study Neuron Microstructure
N Arezza*, D Tse, C Baron, Western University, London, Ontario, CA
PO-GeP-I-50Chemical Exchange Saturation Transfer MRI: Sensitive to Intracellular PH Change Over Time in a Rat Model of Brain Cancer
M Mozaffari*, N Nystrom, A Li, M Bellyou, T Scholl, R Bartha, Robarts Research Institute, Western University, London, ON, Canada
PO-GeP-I-86Diagnosis of White Matter Hyperintensities Using Brain Morphometry and Support Vector Machine
L Zheng, W Lu*, W Lu, L Shi, J Qiu, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN,
PO-GeP-I-116Evaluation of Machine Learning Algorithms Performance for the Classification of Euthymic Pediatric Bipolar Disorder and Healthy Adolescents From Resting-State FMRI Data
T Wang1, Y Guo2, Q Jiao3*, W Cao4, D Cui5, W Gao6, L Su7, G Lu8, (1) ,,,(2) Shandong First Medical University, ,,(3) Shandong First Medical University, Taian, 37, CN, (4) Shandong First Medical University &Shandong Academy of Medical Sciences, Tai'an, 37, CN, (5) Shandong First Medical University, Taian, 37, CN, (6) Zhejiang University School of Medicine, ,,CN, (7) Key Laboratory of Psychiatry and Mental Health of Central South University, ,,CN, (8) Clinical School of Medical College, Nanjing University, ,,CN
PO-GeP-I-127Gray Matter-Based Radiomics and Machine Learning for the Diagnosis of Attention-Ddeficit/Hyperactivity Disorder
S Zhao1*, Z Mu2, H Zhao3, J Qiu3, W Lu3, W Lu3, L Shi3, (1) Beijing Anding Hospital, Capital Medical University, Beijing, CN, (2) The Second Affiliated Hospital Of Shandong First Medical University, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-I-134Imaging Biomarker Analysis for Grading Malignant Gliomas Based On a Few Conventional Magnetic Resonance Imaging Sequences
T Nakamoto1*, W Takahashi1, A Haga2, S Takahashi1, S Kiryu3, K Nawa1, T Ohta1, S Ozaki1, Y Nozawa1, S Tanaka1, A Mukasa4, K Nakagawa1, (1) The University of Tokyo Hospital, Tokyo, JP, (2) Tokushima University, Tokushima, JP, (3) International University of Health and Welfare Hospital, Nasushiobara, JP, (4) Kumamoto University, Kumamoto, JP
PO-GeP-I-170Predicting the Severity of White Matter Hyperintensities Using Structural MRI and Machine Learning
W Lu1*, H Li2, L Zheng1, L Shi1, W Lu1, J Qiu1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN, (2) Shandong University Of Science And Technilogy, Qingdao, Shandong, CN
PO-GeP-I-198Structural MRI-Based Radiomics and Machine Learning for the Classification of Attention-Deficit/Hyperactivity Disorder Subtypes
C Lin1, J Qiu2, K Hou3, W Lu3, W Lu3, X Liu3, J Qiu3, L Shi3*, (1) Taian Disabled Soldiers' Hospital Of Shandong Province, Taian, CN, (2) Taian Municipal Center For disease control and prevention, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-I-235Weisskoff Analysis Can Infer False Correlations in Functional Connectivity Analysis with Resting-State FMRI
H Chen1*, M Yeh2, P Hou1, R Stafford1, H Liu1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) National Tsing Hua University, Hsinchu, TW
PO-GeP-M-19A Machine Learning Model for Brain V12Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study
X Li*, J Zhang, Y Sheng, K Lafata, N Eclov, Y Cui, W Giles, J Adamson, A Rodrigues, Z Wang, S Yoo, F Yin, Q Wu, C Wang, Duke University Medical Center, Durham, NC
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-168Dosimetric Analysis of Automated Treatment Planning for Whole Brain Radiotherapy with A Deep Learning Approach
E Han*, C Cardenas, C Nguyen, T Briere, j Li, D Yeboa, C Wang, L Court, M Martel, Z Wen, University of Texas MD Anderson Cancer Center, Houston, TX
PO-GeP-M-259Individuals in the Prediabetes Stage Exhibit Reduced Hippocampus and Amygdala Subregion Volumes
D CUI, W Cao, Q Jiao, J Qiu, Y Guo*, Shandong First Medical University, Taian, 37CN,
PO-GeP-M-261Initial Experience in MRI-Based Brain Metastases Detection Using Deep Learning
J Teruel1*, K Bernstein1, P Galavis1, K Spuhler1, J Silverman1, D Kondziolka1,2, K Osterman1, (1) Department of Radiation Oncology, NYU Langone Health, New York, NY, (2) Center for Advanced Radiosurgery, NYU Langone Health, New York, NY
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-307Multiple Resolution Residual Network for Automatic Glioblastoma Segmentation in MRI
H Um*, J Jiang, F Tixier, R Young, H Veeraraghavan, Memorial Sloan Kettering Cancer Center, New York, NY
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-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-349Quantification of White Matter Hyperintensities Based On Diffusion Tensor Imaging and Support Vector Machine
L Zheng1, R Gao2, W Lu1, L Shi1, W Lu1*, J Qiu1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN, (2) Shandong University Of Science And Technology, Qingdao, Shandong, CN
PO-GeP-P-71A New Treatment Planning Technique Combining Stereotactic Radiosurgery (SRS), and Fractioned Stereotactic Radiosurgery (FSRS) Treatment Plans, to Minimize Undesirable Dose Contributions When Treating Multiple Brain Metastases (MBM) Using Brainlab Elements
X Liu*, J Vinci, O Bhattasali, M Girvigian, K Lodin, R Boone, J Rahimian, Department of Radiation Oncology, Kaiser Permanente, Los Angeles Medical Center, CA
PO-GeP-T-172Characterization of Linac Mechanical Performance for Multi-Target Single-Isocenter Frameless SRS Using a Custom Phantom
I Rusu*, H Kang, S Gros, M Mysz, A Sethi, J Roeske, Loyola Univ Medical Center, Maywood, IL
PO-GeP-T-188Clinical Implementation of a New a Single-Isocenter Multiple-Target Cranial Optimization Algorithm
C Knill*, R Sandhu, R Halford, L Lin, Z Seymour, I Grills, P Chinnaiyan, Beaumont Health System, Royal Oak, MI
PO-GeP-T-320Dosimetric and NTCP Analysis of Hippocampus, Parotid and Lacrimal Glands Sparing After Whole Brain IMRT
M Oakey*, J Fenoli, K Wang, S Das, P Mavroidis, Univ North Carolina, Chapel Hill, NC
PO-GeP-T-327Dosimetric Comparison of Gamma Knife(R) IconTM and Linear Accelerator-Based FSRT Plans for the Re-Irradiation of Large (> 14 Cc) Recurrent Glioblastomas
M Schelin*, H Liu, W Shi, Y Yu, K Mooney, Thomas Jefferson University, Philadelphia, PA
PO-GeP-T-432Examining the Capability of Precision, IPlan, Raystation and Monaco to Satisfy the UNC Treatment Planning Protocol of Stereotactic Radiosurgery for Multi-Lesion Brain Cases
E Schreiber1*, M Dance1, S Stathakis2, A Licon2, N Papanikolaou2, S Das1, P Mavroidis1, (1) Univ North Carolina, Chapel Hill, NC, (2) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX
PO-GeP-T-469Fully Automated Planning and Delivery of Hippocampal-Sparing Whole Brain Irradiation
I Rusu*, J Roeske, E Melian, A Solanki, H Kang, Loyola Univ Medical Center, Maywood, IL
PO-GeP-T-478Hippocampal-Sparing in Whole-Brain Radiation Therapy: A New VMAT Treatment Planning and Optimization Technique
D Soultan*, M Smith, J Edds, H Saleh, H Saleh, Kansas University Medical Center, Department of Radiation Oncology, Kansas City, KS
PO-GeP-T-509Improving Clinical Efficiency and Consistency with RapidPlan for Single Lesion Brain SRS
Q Shang*, K Koch, D Wiant, T Hayes, N Koch, B Sintay, H Liu, Cone Health Cancer Center, Greensboro, NC
PO-GeP-T-800Towards An Image-Informed Mathematical Model of Response to Fractionated Radiation Therapy
D Hormuth,II1,5*, A Jarrett1,5, T Yankeelov1-5, (1) Oden Institute for Computational Engineering and Sciences, Departments of (2) Biomedical Engineering, (3) Diagnostic Medicine, and (4) Oncology, (5) Livestrong Cancer Institutes . The University of Texas at Austin, Austin, TX USA
SU-CD-TRACK 2-11Detection and Segmentation of Brain Metastases On MR Images Using Machine Learning and a Novel Optimized Thresholding Technique
D Hsu*, A Ballangrud, L Cervino, J Deasy, A Li, H Veeraraghavan, M Hunt, A Shamseddine, M Aristophanous. Memorial Sloan-Kettering Cancer Center, New York, NY
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-AB-TRACK 4-4Deep-Learning Based Auto-Detection of Brain Metastases for Stereotactic Radiosurgery
Z Tian*, S Kahn, W Curran, T Liu, X Yang, Winship Cancer Institution, Emory University, Atlanta, GA
TH-D-TRACK 4-3Integration of Ex Vivo Optical Reporter Imaging with in Vivo Radiologic Imaging: A Practical Multiscale Method for Measuring Whole Brain Disease Burden
M Scarpelli*, D Healey, S Mehta, C Quarles, Barrow Neurological Institute, Phoenix, AZ