Highlights of Medical Physics (GMED) Talks @ APS 2021 March Meeting
American Physics Society (APS) March meeting is one of the largest physics meetings in the world. In 2021, the meeting will be held online due to COVID-19.
To help the community quickly catch up on the work to be presented in this meeting, 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)
| Title | Authors | Highlight | Session | |
|---|---|---|---|---|
| 1 | Integrating machine learning and multiscale modeling: perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences | Kuhl, Ellen | Prof. Ellen Kuhl has been the champion in integrating machine learning techniques with multiscale physical modeling, particularly in the area of biomedicine. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 2 | Comparison of statistical parametric mapping method and scaled subprofile model for functional neuroimage analysis | hocurscak, Lara; Tomanic, Tadej; Trost, Maja; Simoncic, Urban | We developed analytical relation between the SPM and SSM/PCA results. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 3 | A Deep Learning Network for Disease Classification with Longitudinal Data | Deatsch, Alison; Jeraj, Robert | This work aims to develop a deep learning model to predict disease status and investigate the influence of longitudinal data on model performance. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 4 | Developing Dynamical Models to Characterize Stroke Gait Impairments | Winner, Taniel; Kesar, Trisha; Berman, Gordon; Ting, Lena | Here, we present a Recurrent Neural Network (RNN)-based model that produces a robust kinematic gait signature for visualizing and comparing gait kinematics between able-bodied individuals and stroke-survivors. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 5 | The Predictive Value of Deep Learning and Radiomics in Medical Imaging | Kalpathy-Cramer, Jayashree | The Predictive Value of Deep Learning and Radiomics in Medical Imaging | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 6 | Estimation of Radiobiological Indices in Radiotherapy of Lung Cancer using an Artificial Neural Network | Pudasaini, Mukunda; Leventouri, Theodora; Pella, Silvia; Muhammad, Dr. Wazir | The purpose of this study is to develop an artificial neural network (ANN) to predict radiobiological indices in radiotherapy of lung cancer. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 7 | Superspreading k-cores at the center of COVID-19 pandemic persistence | serafino, matteo; S. Monteiro, Higor; Luo, Shaojun; Reis, Saulo D. S.; Igual, Carles; S. Lima Neto, Antonio; Travizan, Matias; Soares De Andrade Jr, Jose; Makse, Hernan | Here, we implement a comprehensive contact tracing network analysis to find the optimal quarantine protocol to dismantle the chain of transmission of coronavirus with minimal disruptions to society. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 8 | Framework for Assessing the Impact of CNN-based Image Segmentation on Multi-step Biomarker Extraction | Huff, Daniel; Klanecek, Zan; Studen, Andrej; Jeraj, Robert | Here, we describe a framework for assessing CNN impact on final biomarker extraction in the clinical application of detecting colitis on 18F-FDG PET/CT. | Session 1: Artificial Intelligence, Machine Learning, and Data Science in Medicine and Biomedicine |
| 9 | GMED Business Meting (6:00pm-7:00pm) | Morrison, Terrance | GMED Business Meting (6:00pm-7:00pm) | Session 2: GMED Business Meting (6:00pm-7:00pm) |
| 10 | Particle size-dependent magnetic hyperthermia in gadolinium silicide micro- and nano-particles from calorimetry and AC magnetometry | Boekelheide, Zoe; Hunagund, Shivakumar; Hussein, Zainab; Miller, Jackson; El-Gendy, Ahmed; Hadimani, Magundappa | This work presents measurements of size-separated ball-milled Gd 5Si 4 particles, showing that the magnetization and specific loss power both decrease with decreasing particle size. | Session 3: Magnetism in Biomedicine |
| 11 | Quintuple Carbon Steel Core Coil for Highly Focused Transcranial Magnetic Stimulation in Small Animals | Carmona, Ivan; Kumbhare, Deepak; Baron, Mark; Hadimani, Magundappa | Using FEM in ANSYS Maxwell, we obtained results for a customized array of five double-winding solenoids to restrict the stimulation to areas as small as 1 mm2. | Session 3: Magnetism in Biomedicine |
| 12 | Dual-mode nanoparticle MRI contrast agents | Van Keuren, Edward; Zheng, Xiaowan; Dahanayake, Vidumin; Lyons, Trevor; Stoll, Sarah; Albanese, Christopher; Fricke, Stanley; Rodriguez, Olga | We have developed a series of CAs based on Fe and Mn oxo-metallic clusters encapsulated in polymer nanoparticles which display a large contrast enhancement for both T1- and T2- imaging. | Session 3: Magnetism in Biomedicine |
| 13 | Temperature maps and accuracy in Magnetic Resonance Imaging thermometry using temperature sensitive superparamagnetic particles | Hankiewicz, Janusz; Stupic, Karl; Celinski, Zbigniew; Przybylski, Marek | We present data for the estimation of the accuracy of temperature determination in MRI thermometry using a homogenous phantom with embedded superparamagnetic particles exposed to a temperature gradient. | Session 3: Magnetism in Biomedicine |
| 14 | Self-assembly of superparamagnetic nanoparticles used in MRI thermometry | Stroud, John; Lachowicz, Dorota; Hankiewicz, Janusz | In this work we analyze the effects of the local magnetic fields generated by these pentagonal structures on water proton nuclear magnetic relaxation. | Session 3: Magnetism in Biomedicine |
| 15 | Tuning the heating efficiency of hybrid core/shell nanoparticles by modulating the shell composition and thickness | Lavorato, Gabriel; Das, Raja; Xing, Yutao; Robles, Joshua; Attanayake, Supun; Litterst, F. Jochen; Baggio-Saitovitch, Elisa; Phan, Manh-Huong; Srikanth, Hariharan | We studied Fe 3O 4/Co xZn 1-xFe 2O 4 core/shell nanoparticles with 12 nm cores and variable shell composition ( x=0-1) and thickness ( t=0-4 nm). | Session 3: Magnetism in Biomedicine |
| 16 | Hydraulic Permeability reconstruction in Magnetic Resonance Elstography | Sowinski, Damian; McGarry, Matthew; Gordon-Wiley, Scott; Weaver, John; Paulsen, Keith | I will explore recent advances made by our group in applying poroelasticity to MRE data, focusing on the inference of hydraulic permeability – a tissue’s capacity for permitting fluid to filtrate through it – in both simulations and phantoms, paving the way for eventual clinical use. | Session 3: Magnetism in Biomedicine |
| 17 | Analysis of resting motor threshold, coil-cortex distance and IC3-IC4 functional connectivity in schizophrenia patients during transcranial magnetic stimulation | Cheng, Emily; Pandurangi, Ananda; Mehta, Uravakhsh; Hadimani, Magundappa | We developed anatomically accurate head models of 20 schizophrenia patient using thier MRIs in SimNIBS pipeline. | Session 3: Magnetism in Biomedicine |
| 18 | A lattice Boltzmann method for simulation of diffusion-weighted MRI in biological tissue | Naughton, Noel; Georgiadis, John | The lattice Boltzmann method (LBM) is used to integrate the Bloch-Torrey equation, which describes the evolution of the magnetization signal in diffusion-weighted magnetic resonance imaging (dMRI). | Session 3: Magnetism in Biomedicine |
| 19 | Magnetism in Medicine: Magnetic Particle Imaging and Beyond | Connolly, Steve | Magnetism in Medicine: Magnetic Particle Imaging and Beyond | Session 3: Magnetism in Biomedicine |
| 20 | Standards for Spin-Based Diffusion Measurements for Quantitative MRI | Russek, Stephen | We present an examination of uncertainties in simple materials such as water, moderately complex materials such as polymer solutions, and finally in tissue. | Session 3: Magnetism in Biomedicine |
| 21 | Role of magnetic anisotropy on the hyperthermia efficiency of spherical Fe3-xCoxO4 (x = 0 – 1) nanoparticles | Das, Raja; Pham, Kim Ngoc; Attanayake, Supun; Phan, Manh-Huong; Srikanth, Hariharan | In this study, we demonstrate a simple strategy to enhance the heating efficiency of Fe 3O 4 nanoparticles through substitution of Fe +2 ions with Co +2 ions. | Session 3: Magnetism in Biomedicine |
| 22 | A Novel Magnetic Respiratory Sensor for Human Healthcare Monitoring | Hwang, Kee Young; Jimenez, Valery; Muchharla, Baleeswaraiah; Phan, Manh-Huong | In this study, we have developed a novel, non-invasive, and contactless magnetic sensing platform that can precisely monitor a patient’s breathing, movement, or sleep patterns. | Session 3: Magnetism in Biomedicine |
| 23 | Introduction to Quantitative Imaging | Hall, Timothy | Physicists’ contribution to this effort includes developing new imaging biomarkers, creating simulations of the physical interactions of image formation (in silico phantoms), and creating methods for objectively quantifying the technical performance of the system. | Session 4: Physics and Data Science of Quantitative Medical Imaging |
| 24 | Importance of Statistical Metrology Framework for Quantitative Imaging Applications | Obuchowski, Nancy | In this presentation we examine several clinical trials using quantitative imaging. | Session 4: Physics and Data Science of Quantitative Medical Imaging |
| 25 | Quantitative Imaging Applications for Radiography and Computed Tomography | Armato, Sam | Quantitative Imaging Applications for Radiography and Computed Tomography | Session 4: Physics and Data Science of Quantitative Medical Imaging |
| 26 | Better Medicine through Measurement: Developments and Applications of Quantitative Magnetic Resonance Imaging | Boss, Michael | This talk will provide an overview of important quantitative imaging biomarkers (QIBs) in MRI, highlighting their applications, challenges in measurement science and implementation, and the current progress of QIBs towards clinical adoption. | Session 4: Physics and Data Science of Quantitative Medical Imaging |
| 27 | PET/CT and PET/MR quantitative imaging applications | Smith, Anne | The most popular surrogate is the standardized uptake value (SUV), and this talk will cover the pros and cons of using the SUV as a quantitative measure and initiatives driven by PET physicists and clinicians to make it a better universal and quantitative measure. | Session 4: Physics and Data Science of Quantitative Medical Imaging |
| 28 | Phase sensitive X-ray imaging experiments with structured illumination and polycapillary optics for clinical application | Pyakurel, Uttam; Sun, Weiyuan; Cheung, Pikting; Zhang, Xiaoyun; MacDonald, Carolyn; Petruccelli, Jonathan | We will present results from a reconstruction method that produces scatter free absorption, phase and scatter amplitude images simultaneously. | Session 5: Physics in Medicine: Innovations in Imaging |
| 29 | Novel approach for ultrafast ultrasound image formation in complex media: aberration correction and real-time speed-of-sound mapping | Bendjador, Hanna; Deffieux, Thomas; Tanter, Mickaël | We present here a novel and fast method for adaptive image formation, based on ultrafast coherence optimization. | Session 5: Physics in Medicine: Innovations in Imaging |
| 30 | Frequency multiplexing ultrasound as a platform for enhanced harmonic imaging | Karlinsky, Keren; Ilovitsh, Tali | In this research we developed an enhanced ultrasound (US) harmonic imaging (HI) method for the noninvasive imaging of microbubbles (MB). | Session 5: Physics in Medicine: Innovations in Imaging |
| 31 | Development and characterization of a modular hyperspectral imaging system | Stergar, Jost; Rogelj, Luka; Dolenec, Rok; Simoncic, Urban; Milanic, Matija | We present the development and characterization of a highly modular, custom built, visible and near-infrared HSI system with a custom broadband LED light source and variable field of view and resolution. | Session 5: Physics in Medicine: Innovations in Imaging |
| 32 | Improving blood vessel tortuosity measurements via highly sampled numerical integration of the Frenet-Serret equations | Brummer, Alex; Hunt, David; Savage, Van | Here, we present a new method of measuring vessel tortuosity that ensures improved accuracy. | Session 5: Physics in Medicine: Innovations in Imaging |
| 33 | GPU inverse Adding-Doubling method for analysis of optical spectral images | Milanic, Matija; Stergar, Jost | Since the existing AD algorithms are implemented on CPU, AD was implemented on GPU to speed-up the method. | Session 5: Physics in Medicine: Innovations in Imaging |
| 34 | Development of Flexible Microwave Antennas for Breast Cancer Imaging System | Liaqat, Maryam; campos, Thiago; COSTA, LUCAS; Raza, Ali; Aslam, Muhammad; Nunes, Frederico | Development of Flexible Microwave Antennas for Breast Cancer Imaging System | Session 5: Physics in Medicine: Innovations in Imaging |
| 35 | Microwave Breast Cancer Imaging Technique: Arrangement and Parametric Analysis of Array of Flexible Microwave Antennas with Phantom | Aslam, Muhammad; Raza, Ali; Akbar, Jehan; Mukhtar, Naila; Jabeen, Saher; Liaqat, Maryam | In present studies, the key features are studied for development of MWI. | Session 5: Physics in Medicine: Innovations in Imaging |
| 36 | Modeling and validation of mesh-based x-ray phase imaging system | Hassan, Laila; Pyakurel, Uttam; Sun, Weiyuan; MacDonald, Carolyn; Petruccelli, Jonathan | We present a computational model utilizing ray tracing that allows us to explore its design space and to optimize our phase reconstruction algorithms. | Session 5: Physics in Medicine: Innovations in Imaging |
| 37 | Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory | Li, Qiongge; Pasquin, Luca; Del Ferraro, Gino; Gene, Madeleine; Peck, Kyung; Makse, Hernan; Holodny, Andrei | We aim to study the architecture of the functional networks in each group and characterize any differences arising from network centrality measurements. | Session 5: Physics in Medicine: Innovations in Imaging |
| 38 | Acoustically detonated microbubbles using low frequency insonation: mechanism for low energy mechanical ablation | Ilovitsh, Tali; Bismuth, Mike | Here we show that coupled with low-frequency excitation, targeted microbubbles serve as mechanical therapeutic warheads that trigger potent mechanical effects at specific locations under the direction of focused ultrasound. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 39 | Efficient N95 Mask Disinfection Method with Photon Up-and-Down Conversion Materials | Xu, Emma; Lee, Changhwan; Pritzl, Stefanie; Lohmueller, Theobald; Cohen, Bruce; Chan, Emory; Schuck, P. James | As an alternative approach, we propose embedding upconverting nanoparticles (UCNPs) and photon down-conversion materials inside the mask. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 40 | Disassembling Blood Clots and Improving Blood Oxygenation With Magnetic Field To Save Covid-19 Patients | Tao, Rongjia | Here we propose a new method to treat Covid-19 patients with thrombosis: applying a strong magnetic field along the patients’ arm. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 41 | A semi-empirical approach for independent dose calculations for complex teletherapy treatments | Rivetti, Luciano; Sanz, Dario | In this work we describe a novel algorithm which allows assessment of the dose in a specific point of the treatment plan. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 42 | Evaluation of probabilistic radiotherapy planning in prostate cancer | Ferjancic, Peter; v.d. Heide, Uulke; Jeraj, Robert | In this work, we evaluate the performance of a probabilistic treatment planning approach using voxel-based tumor likelihood maps and robust optimization (RO), where the objective function is calculated with different scenarios of uncertainty realizations, which more realistically represents treatment planning and delivery than safety margins. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 43 | An Ising/Potts Model Approach to Predicting Pathogen Case Fatality Rate and Vaccine Efficacy Based on Structural Motifs | Makin III, Robert; Durbin, Steven | We demonstrate that it is possible to extend the concept of a Bragg-Williams order parameter ( S) to pathogenic systems such as viruses and bacteria by examining the protein arrangement on the particle’s outer surface. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 44 | A Monte Carlo Dose Verification Model for the Small Fields with 6FFF and 10FFF Energy Beams of the Varian True Beam (EDGE) Radiosurgery System | Neupane, Taindra; Stevens, Ryan; Shang, Dr. Charles; Muhammad, Dr. Wazir; Leventouri, Theodora | To further investigate this with various MLC displacements, we created a Monte Carlo (MC) dose model for both 6FFF and 10FFF beams of Varian EDGE Clinac system using the EGSnrc MC program. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 45 | Mathematical Models for Living Forms in Medical Physics Submodel 2: Information Coding and Information Processing through Nerves | Pospisil, Christina | This talk continues the presentations Mathematical Models for Living Forms in Medical Physics and Mathematical Models for Living Forms in Medical Physics Submodel 1: The information processing from teeth to Nerves from the APS March Meetings 2019, 2020 (the APS March Meeting 2020 got canceled because of Covid-19), the second presentation was given at the APS April Meeting 2020 Conference. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 46 | PG production yield enhancement for facilitating in-vivo proton beam range verification | Galanakou, Panagiota; Leventouri, Theodora; Muhammad, Dr. Wazir | We propose a new technique for PG production yield enhancement by inducing a non-radioactive element in the tumor area. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 47 | Operating Procedures for COVID-19 in a Nuclear Medicine Department | López Titla, María Margarita; Portillo, Rafael Jesús; Navarro, Carlos Salvador; Nieto, Ernesto | We implemented contingency procedures that included: the use of personal protective equipment, effective patient flow (screening triage and targeted referral), apply all standard radiation protection and optimization principles. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 48 | Cold atmospheric plasma is a novel modality to combat chemoresistance in cancer cells | Rasouli, Milad; Amini, Elaheh; Ostrikov, Kostya | Here, we report the effect of plasma as a novel technology alone and in combination with carboplatin for cisplatin resistance ovarian cells. | Session 6: Physics in Medicine: Innovations in Modeling and Therapy |
| 49 | Disinfection Efficacy of Ultraviolet Light Sources on SARS-CoV-2* | Huhman, Brett | This paper will discuss the UV sources evaluated in the NCR2T effort along with the optical and biological protocols used to estimate the efficacy of the various approaches available on the commercial market. | Session 7: Physics of COVID-19 |
| 50 | The physics of evaporating human-exhaled drops and possible implications for virus viability | Jensen, Jorgen | As human exhaled drops contain a complex mixture of electrolytes and organic material, this talk uses microscopy to examine the efflorescence process of different salts in human-exhaled drops. | Session 7: Physics of COVID-19 |
| 51 | What can imaging tell us about SARS-Cov-2 infection | Jeraj, Robert; Klanecek, Zan; Studen, Andrej; Yip, Stephen | In this lecture, we will review medical imaging related to COVID-19 and emphaze richness of information that it contains. | Session 7: Physics of COVID-19 |
| 52 | A Topological Data Analysis perspective on coronavirus evolution | Rabadan, Raul | He applies quantitative approaches to model and understand the dynamics of biological systems through the lens of genomics. | Session 7: Physics of COVID-19 |
| 53 | The role of transmission network structure in COVID-19 spread and control | Hill, Alison | In this talk I will discuss approaches to building models that account for the heterogeneous nature of human contact networks, and about how these factors specifically relate to the COVID-19 pandemic. | Session 7: Physics of COVID-19 |