Highlights of Medical Physics (GMED) Talks @ APS 2019 March Meeting
American Physics Society (APS) March meeting is one of the largest physics meetings in the world. In 2019, it was held in Boston, Massachusetts. More than 10,000 talks were presented in this meeting.
To help the community quickly catch up on the work presented in this meting, Paper Digest Team processed all talk abstracts, and generated one highlight sentence (typically the main topic) for each. Readers are encouraged to read these machine generated highlights / summaries to quickly get the main idea of each talk.
This article is on the talks related to Medical Physics (GMED).
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TABLE : Medical Physics (GMED) 1
| Title | Authors | Highlight | Session | |
|---|---|---|---|---|
| 1 | GMED Business Meeting | GMED Business Meeting | Session 1: GMED Business Meeting | |
| 2 | Magnetic functional neuroimaging and transcranial magnetic stimulation | Nummenmaa, Aapo | Magnetic functional neuroimaging and transcranial magnetic stimulation | Session 2: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery |
| 3 | MRI Magnetic Susceptibility Mapping In Vivo | Shmueli, Karin | I will outline the physical principles underpinning QSM and describe QSM applications we have developed in sickle cell anaemia, healthy brain ageing and head-and-neck cancer. | Session 2: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery |
| 4 | Magnetoencephalography using optically-pumped magnetometers | Knappe, Svenja; Krzyzewski, Sean; Nardelli, Nicholas; Korenko, Branislav; Romanov, Gleb; Alem, Orang; Hughes, Jeramy | The MEG test system we present consists of 48 microfabricated OPMs, that are integrated into pairs on small flying lead sensor heads, such that they form 24 first-order gradiometers with a baseline of 2 cm. | Session 2: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery |
| 5 | Smart magnetic probes for in-vivo metrology | Zabow, Gary; dodd, stephen; Koretsky, Alan | Specifically, this talk will discuss several recent examples [1,2] of how work in physics and engineering is enhancing the functionality of MRI through (i) new contrast agents 10-100x more powerful than existing alternatives that enable in vivo tracking of cells down to the single cell level, (ii) new micromagnetic structures that add “color” or multiplexing capabilities to traditionally black-and-white MRI, and (iii) smart polymer – magnetic composites that enable new radio-frequency (RF) addressable microsensors, or smart probes, for quantitative sensing. | Session 2: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery |
| 6 | Ultra-low field and unconventional MRI. | Rosen, Matthew | We will discuss hardware methods to improve attainable SNR in the Johnston-noise-dominated regime of ULF using improved coils such as quadrature volume coils at 276 kHz (6.5 mT). | Session 2: In-vivo Magnetic Measurements for Medical Diagnosis, Therapy and Discovery |
| 7 | The potential of stationary digital tomosynthesis | Quaia, Emilio | The potential of stationary digital tomosynthesis | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 8 | Cellulose-Based Photonic Nanoparticles for Biomedical Imaging | Peng, Berney; Almeqdadi, Mohammad; LAROCHE, Fabrice; Palantavida, Shajesh; Dokukin, Maxim; Roper, Jatin; Yilmaz, Omer; Feng, Hui; Sokolov, Igor | Here we present a fluorescent targeting nanoparticle contrast agent that can serve as an effective companion solution for biomedical imaging and diagnostics of cancer. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 9 | Deformable motion correction for interventional cone-beam CT | Capostagno, Sarah; Sisniega, Alejandro; Ehtiati, Tina; Stayman, J.; Weiss, Clifford; Siewerdsen, Jeffrey | This work reports a method to estimate deformable motion from scan data without additional patient monitoring. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 10 | Quantitative vs qualitative evaluation of automatic segmentation | Pursley, Jennifer; Maquilan, Genevieve; Sharp, Gregory | The goal of this work is to explore the use of a qualitative evaluation system for rating the clinical acceptability of auto-segmented contours, and establish the relation between quantitative and qualitative metrics. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 11 | A Statistical Model Relating Image Quality to Image Registration Accuracy in Image-Guided Surgery | Ketcha, Michael; De Silva, Tharindu; Han, Runze; Uneri, Ali; Vogt, Sebastian; Kleinszig, Gerhard; Siewerdsen, Jeffrey | We present a statistical model that relates factors of spatial resolution, noise, and dose to image registration accuracy (viz. root-mean-squared error in the transform parameters). | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 12 | Neural network-based delineation of clinical target volumes for glioma patients | Shusharina, Nadya; Edmunds, David; Söderberg, Jonas; Löfman, Fredrik; Shih, Helen; Bortfeld, Thomas | We propose a convolutional neural network (CNN)-assisted delineation of the CTV for glioma, aiming to reduce inter- and intra-observer variability and decrease treatment planning time. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 13 | Deep Learning Vessel Segmentation for Microsurgical Free Tissue Transfer | Hoebel, Katharina; Kollar, Branislav; Chang, Ken; Beers, Andrew; Brown, James; Patel, Jay; Pomahac, Bohdan; Kalpathy-Cramer, Jayashree | Objective: To develop a deep-learning method to autonomously segment vessels in the abdominal wall of patients undergoing autologous breast reconstruction to guide pre-surgical planning. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 14 | A Deep Learning Approach to Early Cancer Detection using Near-Infrared Laser Scattering Profiles | Acree, Mason; Berneau, Christopher; Densley, Portia; Jensen, Gunnar; Hart, Vern | In this study, optical scattering patterns were investigated from five different cancer cell lines, which were irradiated in vitro with a NIR (854 nm) diode laser. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 15 | Quantitative Cone-Beam CT with High-fidelity Modeling of Imaging Physics | Cao, Qian; Alejandro, Sisniega; Brehler, Michael; Subramanian, Shalini; Stayman, J.; Siewerdsen, Jeffrey; Zbijewski, Wojciech | We employ advanced models of x-ray propagation to optimize performance of specialized orthopedic Cone-Beam CT systems in quantitative bone imaging. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 16 | Quantitative evaluation of inflammatory response dynamics in the lung following proton and photon irradiation | Li, Yanjing; Dykstra, Micheal; Best, Till; Pursley, Jennifer; Chopra, Nitish; Paganetti, Harald; Willers, Henning; Fintelmann, Florian; Grassberger, Clemens | We analyzed lung density changes in lung cancer patients receiving stereotactic body radiation therapy with protons (SBPT) or photons (SBRT). | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 17 | Measurement of In vitro Cancer Tumor Hypoxia | Zhao, Yihiua; Austin, Robert; Lin, Ke-Chih; Sturm, James; Qu, Junli | We show here using a phosphorescence lifetime imaging (PLIM) technology based oxygen sensor to monitor the local O$_{2}$ level in a extended two dimensional array of cancer cells with strong and mixed gradients to nutrients and O$_{2}$ using a novel pure diffusional three dimensional microfabricated technology the emergence of highly hypotoxic dormant cell metapopulations. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 18 | Novel X-ray Sources for Medical Imaging: Making Old Physics Do New Tricks | Travish, Gil; Mavalankar, Aquila | I will describe some of these challenges, the regimes of operation under consideration by various groups, and the practical implications of the physics parameters to radiology. | Session 3: Novel Acquisition Geometries, Radiation Sources, Hardware, and Algorithms for Medical Imaging |
| 19 | Synergistic Effect of Immunotherapy and Radiotherapy: a Computational Model | Valentinuzzi, Damijan; Ursic, Katja; Simon?i?, Urban; Maruna, Matea; Bucek, Simon; Turk, Maruša; Vrankar, Martina; Cemazar, Maja; Sersa, Gregor; Jeraj, Robert | To identify possible biomarkers of response, we built a physical model capable of simulating tumour response to IT + RT. | Session 4: Physics in Medicine: Computational Modeling |
| 20 | Computational model of treatment resistance heterogeneity | Turk, Maruša; Simon?i?, Urban; Roth, Alison; Valentinuzzi, Damijan; Jeraj, Robert | To evaluate the role of resistance on TR, we constructed a population model, simulating cellular dynamics in individual metastasis. | Session 4: Physics in Medicine: Computational Modeling |
| 21 | Dynamics of Tumor Subpopulations in Response to Targeted Therapies | McClatchy, David; Geng, Changran; Kamran, Sophia; Willers, Henning; Paganetti, Harald; Hata, Aaron; Grassberger, Clemens | Work will be presented on model development, and its parameterization based on measured tumor responses in lung cancer patients treated with targeted therapy. | Session 4: Physics in Medicine: Computational Modeling |
| 22 | Understand the role of chemotherapeutic gradient in the emergence of polyploid giant cancer cells using mean field model | Lin, Ke-Chih; Torga, Gonzalo; Sun, Yusha; Axelrod, Robert; Pienta, Kenneth; Sturm, James; Austin, Robert | In a recent paper, we presented the Evolution Accelerator (EA) [3], which allowed the quantitative study of the interactions of multiple cell types on a chemotherapy gradient. | Session 4: Physics in Medicine: Computational Modeling |
| 23 | TOPAS-nBio: Modeling effects of radiation with nanometer-scale Monte Carlo simulations | Schuemann, Jan; McNamara, Aimee; Ramos-Mendez, Jose; Perl, Joseph; Held, Kathryn; Paganetti, Harald; Incerti, Sebastien; Faddegon, Bruce | To make this method more accessible we developed TOPAS-nBio, a nanometer scale extension for radiobiology to the TOPAS MC system layered on top of the Geant4/Geant4-DNA MC toolkit. | Session 4: Physics in Medicine: Computational Modeling |
| 24 | Computational Assessment of Radiation Dose Enhancement and Secondary Electron Production for Variable Sizes and Concentrations of Gold Nanospheres in a Tumor using MCNP6.2 | Gray, Tara; Mayer, Kathryn; Kirby, Neil | The purpose of this study is to computationally quantify dose enhancement effects of using different concentrations and sizes of gold nanospheres in high dose rate (HDR) brachytherapy and external beam radiotherapy. | Session 4: Physics in Medicine: Computational Modeling |
| 25 | Physical dose enhancement of gold nanoparticles and their impact on water radiolysis in radiotherapy | Rudek, Benedikt; McNamara, Aimee; Byrne, Hilary; Kuncic, Zdenka; Schuemann, Jan | In a systematic study, we use the Monte Carlo simulation tool TOPAS-nBio to model the GNP radio-sensitization within a cell as a function of GNP concentration, size and clustering for a wide range of energies for photons, protons and carbon ions. | Session 4: Physics in Medicine: Computational Modeling |
| 26 | Compensatory enlargement of atherosclerotic vessels — An analysis through morphoelasticity | Fok, Pak-Wing | We propose a three-layer morphoelastic model to describe arterial remodeling. | Session 4: Physics in Medicine: Computational Modeling |
| 27 | Computational Modeling Helps Tissue Engineered Heart Repair | Kalhöfer-Köchling, Moritz; Uecker, Martin; Zimmermann, Wolfram; Bodenschatz, Eberhard; Wang, Yong | With medical images and nonlinear mechanics, we are developing a patient-specific heart model for tissue engineering. | Session 4: Physics in Medicine: Computational Modeling |
| 28 | Improving influenza vaccine development with the pEpitope model: application to the 2018-19 season | Bonomo, Melia; Kim, Rachel; Deem, Michael | We developed a theory of antibody response to infection following vaccination that produced a novel measure of antigenic distance. | Session 4: Physics in Medicine: Computational Modeling |
| 29 | Network physiology reveals relations between network topology and physiological function | Zhang, Xiyun; Lombardi, Fabrizio; Bartsch, Ronny; Ivanov, Plamen Ch | Here we develop a framework to probe interactions among diverse systems, and we identify organ interaction networks. | Session 4: Physics in Medicine: Computational Modeling |
| 30 | Mathematical Models for the Holistic Medicine Part 1 | Pospisil, Christina; Shu, Tong | In this first part we present a theoretical mathematical model for the information flow from teeth to organs, which is a part of a study modelling illness (-> f.e catching a cold, etc.) and health conditions from the physics point of view and leads to the question of interaction/ reciprocal action of information as a phenomenon (-> as we understood it, physics is the science of phenomena) in general (-> getting ill is a certain kind of interaction with the environment). | Session 4: Physics in Medicine: Computational Modeling |
| 31 | Magnetic Resonance Relaxometry and Macromolecular Mapping: An Inverse Problem Framework, with Applications to Alzheimer’s Disease and Osteoarthritis | Spencer, Richard | We have implemented similar methods to map cartilage proteoglycan, the macromolecule most vulnerable to loss in osteoarthritis, obtaining results indicating the potential for improved detection of this condition. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 32 | Fractional Anisotropy by DTI in Patients with Myotonic Distrophy Type I | Lopez, Margarita; Díaz, Rosalinda; Hernández, Carlos; Magaña, Jonhatan; Fernández, Juan | The aim of this study is to find biomarkers that help us to characterize the evolution of this disorder related to white matter. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 33 | Stability of Parameter Estimates from Multiexponential Decay in MR Relaxometry and Related Experiments in One, Two, and Three Dimensions | Spencer, Richard; Bouhrara, Mustapha | Here, we present statistical underpinnings of this remarkable fact and indicate applications in 2D NMR relaxometry and related experiments. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 34 | Mote-carlo simulation to reduce sensor dimension of EEG neurofeedback device | Pal, Prasanta; Theisen, Daniel; Datko, Michael; Lutterveld, Remko; Roy, Alexandra; brewer, Judson | We found a large pool of potential montage configurations with only 32 sensors that can reproduce results from high density sensor system with more than 80%. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 35 | Plasmonic Halos Towards Molecular Sensing of Target Biomarkers | D’Imperio, Luke; Merlo, Juan; Yang, Chaobin; Calm, Yitzi; Maci, Megi; Burns, Michael; Connolly, Timothy; Chiles, Thomas; Naughton, Michael | We introduce preliminary device responses and our approaches to current obstacles of the project. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 36 | Analytical solutions of radiative transfer equation for analysis of medical hyperspectral images | Milanic, Matija; Stergar, Jošt; Rogelj, Luka; Dolenec, Rok; Horvat, Martin | An analytical solution of the 2D radiative transfer equation (RTE) was derived for a multi layered biological tissue. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 37 | EVALUATING GOLD NANOPARTICLES FOR ENHANCEMENT OF RADIATION AND PHOTODYNAMIC THERAPY EFFICACY IN 3D TUMOR MODELS | Petrovic, Ljubica | This study uses a 3D cell culture approach to study the impact of gold nanoparticles (GNP) uptake and localization on radiation dose enhancement, as well as on combined photodynamic (PDT)/photothermal treatment (PTT). | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 38 | MRI-guided focal proton radiation therapy for locally advanced prostate cancer | Moteabbed, Maryam; Harisinghani, Mukesh; Efstathiou, Jason; Lu, Hsiao-Ming | We investigate the dosimetric efficacy and clinical implications of proton radiation therapy of prostate cancer with dose microboost to the MRI-defined dominant intraprostatic lesions (DIL). | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 39 | Radiation cabinet to study the effect of Low-dose radiation on cells | Sengupta, Bishwambhar; Medlin, Donald; Zheng, Xiaoran; Takacs, Endre | The goal of this study was to develop a spectrally and dosimetrically well-characterized X-ray irradiation cabinet to explore the relationships of these variables and their biological effects in a systematic manner. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 40 | A new entropic algorithm to measure of the impact of magnetic field on dose distribution: application to MRI-guided radiotherapy | Feugeas, Jean-Luc | Results -We confirm the ability of our entropic closure to take efficiently into account magnetic effects on dose deposition for complex realistic geometries [3,4]. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 41 | A Vector-Space Representation of Cytoskeletal Drug Mechanisms for Intracellular Doppler Spectroscopy | Li, Zhe; Turek, John; Nolte, David | In this study, 7 cytoskeletal drugs are used, including cytochalasins and latrunculin that inhibit the polymerization of actin, jasplakinolide that enhances actin polymerization, colchicine and nocodazole that inhibit microtubule polymerization, and taxanes that stabilize microtubules. | Session 5: Physics in Medicine: Imaging, Therapy, and Disruptions on the Horizon |
| 42 | Modeling of Detector Performance | Siewerdsen, Jeffrey | In this presenationa, we review the essentials of such task-based models of imaging performance, study examples of model-based design of new imaging systems, and consider future challenges in modeling of nonlinear imaging systems. | Session 6: Radiation Detection and Monitoring in Medical Imaging and Therapy |
| 43 | New Scintillators for Medical Imaging | Nagarkar, Vivek; Marshall, Matthew; Bhandari, Harish; Singh, Bipin; Miller, Stuart; Wart, Megan; Sosa, Charles; Brecher, Charles | A brief review of various methodologies adapted at RMD to improve scintillator performance for specific applications will be presented. | Session 6: Radiation Detection and Monitoring in Medical Imaging and Therapy |
| 44 | Detector Technology for Photon Counting CT | Danielsson, Mats | We will outline the state-of-the-art for photon counting imaging detector technology and how the major challenges such as high rates (pile-up), charge sharing (energy resolution) and absorption efficiency can be addressed and what the tradeoffs are. | Session 6: Radiation Detection and Monitoring in Medical Imaging and Therapy |
| 45 | Range Verification of Proton Therapy Beams | Verburg, Joost | Range Verification of Proton Therapy Beams | Session 6: Radiation Detection and Monitoring in Medical Imaging and Therapy |
| 46 | Targeted Radionuclide Therapy | Jeraj, Robert | Targeted Radionuclide Therapy | Session 6: Radiation Detection and Monitoring in Medical Imaging and Therapy |