Highlights of Medical Physics (GMED) Talks @ APS 2020 March Meeting
American Physics Society (APS) March meeting is one of the largest physics meetings in the world. In 2020, the meeting was canceled due to concerns over the rapid spread of 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 | 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 1: Metrology in Medical Imaging |
| 2 | Importance of Statistical Metrology Framework for Quantitative Imaging Applications | Obuchowski, Nancy | In this presentation we examine several clinical trials using quantitative imaging. | Session 1: Metrology in Medical Imaging |
| 3 | Quantitative Imaging Applications for Radiography and Computed Tomography | Armato, Sam | Quantitative Imaging Applications for Radiography and Computed Tomography | Session 1: Metrology in Medical Imaging |
| 4 | PET/CT and PET/MR quantitative imaging applications | Smith, Anne | PET/CT and PET/MR quantitative imaging applications | Session 1: Metrology in Medical Imaging |
| 5 | 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 current and future applications, the challenges in measurement science and implementation, and the current status and progress of QIBs towards widespread clinical adoption. | Session 1: Metrology in Medical Imaging |
| 6 | Novel biomedical applications of lasers: dermatology, gynecology, and stomatology | Lukac, Matjaz; Milanic, Matija; Jezersek, Matija | Novel biomedical applications of lasers: dermatology, gynecology, and stomatology | Session 2: Optics in Soft Matter and Medicine |
| 7 | Understanding coronary plaque biomechanical properties with intravascular imaging | Bouma, Brett | We have recently developed a novel approach for real-time modeling that can be used during procedures in the cardiac catheterization laboratory. | Session 2: Optics in Soft Matter and Medicine |
| 8 | Optical properties of silicone rubber tissue phantoms for biomedical optics applications | Milanic, Matija; Novak, Jure; Naglič, Peter; Zelinskyi, Yevhen; Rogelj, Luka; Kumperščak, Borut; Stergar, Jost; Bürmen, Miran | A useful phantom must be well characterized, namely its physical properties must be accurately measured using standard techniques. | Session 2: Optics in Soft Matter and Medicine |
| 9 | Laser induced jets in needle free drug delivery | Pankaj, FNU; Marston, Jeremy | Here, we have investigated the feasibility of laser-induced micro-jets as a needle-free injection technique. | Session 2: Optics in Soft Matter and Medicine |
| 10 | Fourier Transform Laser Speckle Imaging for art conservation | Buijs, Jesse; Van der Gucht, Jasper; Sprakel, Joris | In this article we show how to apply this algorithm and how to measure a diffusion coefficient with it. | Session 2: Optics in Soft Matter and Medicine |
| 11 | Doppler Functional Imaging of Cancer Drug Sensitivity in Living Tumor Biopsies | Li, Zhe; Jalal, Shadia; Turek, John; Nolte, David | We introduce a technique called tissue dynamics spectroscopic imaging (TDSI) to reveal drug response variations within small cubic millimeter biopsy samples. | Session 2: Optics in Soft Matter and Medicine |
| 12 | Probing the interior dynamics of shear thickening colloidal suspensions using confocal line scans | Miller, Joia; Blair, Daniel; Urbach, Jeffrey | Here we use line scans on a confocal microscope to visualize particle flows in a sheared suspension, increasing our temporal resolution by two orders of magnitude. | Session 2: Optics in Soft Matter and Medicine |
| 13 | Nanoscale Optical Imaging of Soft Matter Under Flow | Shakya, Anisha; Park, Seong Jun; King, John | We use this technique to study depletion layer formation and dynamics under Poiseuille flow, which remains an outstanding problem in fluid mechanics. | Session 2: Optics in Soft Matter and Medicine |
| 14 | Analyzing the Flow Drying Colloidal Suspensions Using Optical Coherence Tomography | Li, Lanfang; Huang, Yongyang; Jiang, Zhiyu; Zhou, Chao; Ou-Yang, H Daniel | In this work, we present the visualization and analysis of flow in drying colloidal suspensions composed of colloidal polymer particles in water. | Session 2: Optics in Soft Matter and Medicine |
| 15 | Hyperspectral imaging as a technique to evaluate peritonitis in mouse models | Stergar, Jost; Dolenec, Rok; Lakota, Katja; Brezovec, Neza; Perse, Martina; Kojc, Nika; Tomsic, Matija; Milanic, Matija | We present a classification method for determination of the state of peritonitis using HSI. | Session 2: Optics in Soft Matter and Medicine |
| 16 | The Physics of System Integration: Merging Radiotherapy and Magnetic Resonance Imaging to Improve Patient Outcomes | Thompson, Michael | In this talk the advantages of integrating low field MRI with radiotherapy will be briefly reviewed. | Session 3: Physics of Medical Devices |
| 17 | Proteomic Assay to Predict Health, Wellness, and Disease | Cleveland, Jason | I will briefly review the physics underlying the current assay and highlight a few of the health measurements. | Session 3: Physics of Medical Devices |
| 18 | Light-induced pathogenic bacterial deactivation by using graphene quantum dot and methylene blue | Belekov, Ermek; Cooper, Lauren; Kholikov, Khomidkhodza; Er, Ali | Light-induced pathogenic bacterial deactivation by using graphene quantum dot and methylene blue | Session 3: Physics of Medical Devices |
| 19 | Analysis of experimental acoustic waves induced by high energy pulsed X-ray beams | Forghani, Farnoush; Mahl, Adam; Jones, Bernard; Borden, Mark; Miften, Moyed; Thomas, David | Here, we present current experimental results of the X-ray acoustic signals obtained by two types of X-ray sources; megavoltage energy with a long pulse width (4 us) and kilovoltage energy with short pulse width (10 ns). | Session 3: Physics of Medical Devices |
| 20 | Optimizing coded aperture imaging techniques to allow for online tracking of fiducial markers using high energy scattered radiation from clinical treatment beam. | Mahl, Adam; Miller, Brian; Miften, Moyed; Jones, Bernard | This project aims to optimize techniques for online tracking by detecting the scattered radiation from clinical treatment beams through a coded aperture (CA). | Session 3: Physics of Medical Devices |
| 21 | Imaging Surgical Devices with Reduced Metal Artifact | Wu, Pengwei; Sheth, Niral; Sisniega, Alejandro; Uneri, Ali; Han, Runze; Vijayan, Rohan; Vagdargi, Prasad; Kreher, Bjoern; Kunze, Holger; Kleinszig, Gerhard; Vogt, Sebastian; Siewerdsen, Jeffrey | We present a method to predict patient and device specific orbits of C-arm cone-beam CT system that avoid metal artifacts by acquiring projection data with minimal influence from metal-related polyenergetic bias (spectral shift). | Session 3: Physics of Medical Devices |
| 22 | Personalized radiation attenuating materials for mucosal protection | Byrne, James; Pursley, Jennifer; Remillard, Kyla; Edgington, Samantha; Schoenfeld, Jonathan; Traverso, Giovanni | In this study, we measured the radiation attenuating properties of different materials. | Session 3: Physics of Medical Devices |
| 23 | Fast, Small Volume Blood Diagnostics using Homogeneous Thin Solid Films of µL-sized Drops on Super-Hydrophilic Coatings – Impact of Film Properties on Test Accuracy | Suresh, Nikhil; Khanna, Shaurya; Chow, Amber; Gurijala, Aashi; Sahal, Mohammed; Ram, Sukesh; Narayan, Saaketh; Herbots, Nicole; Balasooriya, Thilina; Peng, Wesley; Culbertson, Eric; Culbertson, Robert | Calibration using Balanced Saline Solution allows for conversion of atomic % into concentration in mg/dL, the main metric in blood diagnostics. | Session 3: Physics of Medical Devices |
| 24 | Selection of High Quality Sperm with Lower DNA Fragmentation | Ataei, Afrouz; W.C. Lau, Andy; Leventouri, Theodora; Asghar, Waseem | In this work, we construct a microfluidic device based on the observation that motile sperm can swim against the flow within a specific range of flow rates. | Session 3: Physics of Medical Devices |
| 25 | Characterization of neuroblastoma SH-SY5Y cell lines using dielectrophoresis | Rikhtehgaran, Samaneh; Wille, Luc; Leventouri, Theodora; Wei, Jianning; Du, E | We constructed a microdevice that consists of two parts: the interdigitated ITO electrodes to generate AC electric field and a Polydimethylsiloxane (PDMS) with two wells to inject the cells and the media. | Session 3: Physics of Medical Devices |
| 26 | Optimize The Blood Flow In Blood Vessels By Magnet Field To Cure Hypertension | Tao, Rongjia | Here we report our discovery: the blood flow in blood vessels can be optimized by application of a strong magnetic field along its flow direction. | Session 3: Physics of Medical Devices |
| 27 | Imaging the brain across scales using light, magnetic fields, and models | Desjardins, Michèle | Animal models provide invaluable insight for studying the cellular origin of fMRI. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 28 | Calculation of carbon-ion beam’s range in different media used for radiation therapy | Galanakou, Panagiota; Leventouri, Theodora; Muhammad, Wazir | The purpose of this research is to develop a novel and practical method for monitoring accurately the carbon ion range in different types of tissue during treatment. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 29 | MRI Mapping of Heat Dissipation from Polydopamine Particles under Infra-Red Irradiation | Hankiewicz, Janusz; Stroud, John; Celinski, Zbigniew; Garbovskiy, Yuriy; Lu, Aiming; Gorny, Krzysztof; Woodrum, David; Jurga, Stefan; Szutkowski, Kosma; Mrowczynski, Radoslaw | We investigated heating of phantoms made of agar gel with different concentrations (from 1 to 200 mg/ml) of PDA 100 nm particles. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 30 | Multi-Regularization Reconstruction of One-Dimensional T2 Distributions in Magnetic Resonance Relaxometry | Bi, Chuan; Ou, Yvonne M.; Qian, Wenshu; Zhuo, You; Spencer, Richard | In contrast, we propose a new reconstruction method, Multi-Reg, incorporating a range of calculated regularized solutions. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 31 | Hidden Dangers in MRI: Investigating Heating of Metallic Objects from Switching Gradient Fields | Stroud, John; Stupic, Karl; Walsh, Tucker; Read, Tim; Celinski, Zbigniew; Hankiewicz, Janusz | We investigate local heating of conductive materials within an MRI scanner producing quantitative data on the position dependence of induced EMF and heating, as well as the interaction between different gradients within the scanner. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 32 | Superparamegnetic particles as MRI temperature contrast agent | Hankiewicz, Janusz; Stroud, John; Russek, Stephen; Livesey, Karen; Chalifour, Casey; Parigi, Giacomo; Celinski, Zbigniew; Camley, Robert; Lachowicz, Dorota; Kmita, Angelika; Gajewska, Marta; Trynkiewicz, Ela; Wirecka, Roma; Przybylski, Marek | We hypothesize that superparamagnetic particles may provide contrast mechanisms only if nuclear relaxation is temperature dependent. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 33 | Modeling of human body tissue compositions for Monte Carlo algorithm of Proton therapy dose computation with the Single Energy Computed Tomography Calibration Curve | Ghasemi Ghonchehnazi, Maryam; Evans, Grant; Shang, Charles | We explore the potential improvement in determining mass density to reduce the uncertainty in predicting the proton range in patients. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 34 | Method, Mechanism, and Metrology for Measurement of Multi-Dimensional MTF in Medical Imaging | Wu, Pengwei; Mahesh, Mahadevappa; Boone, John; Siewerdsen, Jeffrey | We report an angled-edge test tool and oversampling method to measure the MTF in any direction in 3D image data, with extension to a spherical test tool for measurement in all directions. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 35 | A novel approach to lead concentration measurements in bone using the L-shell x-ray fluorescence and strontium Kβ/Kα ratio. | Gherase, Mihai; Jardenil, Josh; Kroeker, Sarah | An optimal grazing-incidence position (OGIP) method was developed in our lab to enhance Pb detection by mitigating the x-ray scatter. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 36 | Quantifying Macroscopic and Microscopic Radiation Dose Enhancement with Gold Nanoparticles for a Range of Therapeutic Energies | Gray, Tara; Bassiri, Nema; David, Shaquan; Patel, Devanshi; Kirby, Neil; Mayer, Kathryn | The purpose of this study is to computationally quantify the macroscopic and microscopic radiation dose enhancement effects of different sizes and shapes of gold nanoparticles. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 37 | Dependence of deep learning-based whole organ segmentation on training dataset size in computed tomography (CT) images | Huff, Daniel; Weisman, Amy; Jeraj, Robert | Here, we examine this dependence in the application of abdominal organ segmentation on patient CT images. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 38 | Monte-Carlo simolation of X-ray energy spectrum for single and dual-energy radiography | KHAMOOSHI, NASTARAN | Monte-Carlo simolation of X-ray energy spectrum for single and dual-energy radiography | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 39 | Complex impedance quantification of cell migration for the physics of cancer | Mimlitz, Michael; Walther, Andrew; Merrick, Michael; Weeder, Catherine; Bamesberger, Joe; Akhter, Haris; Djam, Honour; Ekpenyong, Andrew | To assess cell migration post-irradiation, we used a commercially available device, ECIS Z-Theta, which non-invasively measures and converts complex cell-substrate electric impedance into series resistance and capacitance in real time. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 40 | Test-retest Reproducibility for Resting State Networks in fMRI | Lopez, Margarita; Bedolla-Moctezuma, Brenda | In the present study we obtain the rsN for 36 volunteer healthy subjects (18-60 years old) in three different sessions separated by 15 days each one, we acquired two different BOLD rsfMRI sequences (eyes open) with different spatial resolution in a 3T scanner with a 32 head sense channel coil, the FE-EPI sequences have the following parameters TE/TR = 30/ 2000 ms, FA = 75, FOV= 240 mm x 240 mm x 123 mm, matrix 80x 78 x 35, with isometric spatial resolution of 3 mm and other with anisotropic resolution. | Session 4: Physics of Medical Imaging, Measurement, and Tissue Characterization |
| 41 | A statistical ensemble approach to understanding adaptive immunity: using sequence data to quantify the extraordinary diversity, in both sequence and protective specifictiy, of the T- and B-cells cells that make up an individual human’s immune system. | Callan, Curtis | I will explain how high-throughput DNA sequencing has made it possible to develop a precise quantitative understanding of this stochastic process. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 42 | Evaluation of nuclear reaction cross sections via proton induced reactions for the production of 72As: a potential entrant for theranostic pairs | ALI, WARIS | We have identified the nuclear process which gives high yield with minimum impurities to make it as a potential candidate for theranostic applications and in particular in Positron Emission Tomography (PET). | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 43 | Improving blood vessel tortuosity measurements via highly sampled numerical integration of the Frenet-Serret equations | Brummer, Alex; Savage, Van | We present a new method that ensures accurate measurement of vessel tortuosity from medical image data that relies on numerical integration of the Frenet-Serret equations. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 44 | Diffeomorphic morphometry of the tibio-femoral joint for quantitative assessment of osteoarthritis | Charon, Nicolas; Islam, Asef; Zbijewski, Wojciech | We present an application of the framework of Large Diffeomorphic Deformation Metric Mapping (LDDMM) for statistical analysis of moprhological variants of knee anatomy associated with osteoarthritis (OA). | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 45 | Probabilistic approach to treatment planning in radiation therapy | Ferjancic, Peter; Jeraj, Robert | Here, we present a probabilistic approach to RT planning. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 46 | Evolutionary dynamics of cancer on complex stress landscapes | Sun, Yusha; Lin, Ke-Chih; Phan, Trung; Torga, Gonzalo; Amend, Sarah; Pienta, Kenneth; Sturm, James; Austin, Robert | To interpret these results, we employ evolutionary game theory (EGT) as a predictive framework for cancer-stroma dynamics. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 47 | Doppler Spectroscopy of Intracellular Dynamics During Chemotherapy in Tumor Biopsies | Hua, Zhen; Turek, John; Childress, Michael; Nolte, David | Doppler Spectroscopy of Intracellular Dynamics During Chemotherapy in Tumor Biopsies | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 48 | Quantifying Similarity in Histopathology Images Using Pathology-specific Deep-learned Features | Cao, Qian; Islam, Asef; Fang, Zihang; Kang, Jaylen; Baras, Alexander; Zbijewski, Wojciech | This work aims to support the pathologists by matching unknown slides with reference slides of similar characteristics (normal, benign, type of carcinoma, etc) from an annotated collection. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 49 | Mathematical Models for Living Forms in Medical Physics Submodel 1: The Information Processing from Teeth to Nerves | Pospisil, Christina | Mathematical Models for Living Forms in Medical Physics Submodel 1: The Information Processing from Teeth to Nerves | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 50 | Potential Efficacy of the Monte Carlo Dose Calculations of 6MV Flattening Filter-Free Photon Beam of M6™ Cyberknife® System | Neupane, Taindra; Shang, Charles; Muhammad, Wazir; Leventouri, Theodora | Potential Efficacy of the Monte Carlo Dose Calculations of 6MV Flattening Filter-Free Photon Beam of M6™ Cyberknife® System | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 51 | Thermal transport simulation in healthy and arthritic fingers | Simoncic, Urban; Laister, Elmar; Milanic, Matija | Thermal transport simulation in healthy and arthritic fingers | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 52 | A fast and effective denoising solution using deep learning for real time X-ray Acoustic Computed Tomography | Thomas, David; Forghani, Farnoush; Mahl, Adam; Jones, Bernard; Borden, Mark; Miften, Moyed | Here, we present a method to denoise the XA signals using deep learning neural networks. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |
| 53 | Modeling polymer precursors for preparation of molecularly imprinted polymers for drug delivery and sensing | Kobryn, Oleksandr | Here, we present an example of a careful computational analysis of selected monomers with the main purpose to screen out the least suitable and identify the most appropriate ones. | Session 5: Theoretical, Computational, and Statistical Modeling in Medicine |