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Upcoming Seminars & Lectures

DateTime SpeakerLocationTitle
Tue ,
2018-07-24
14:00ISACDr. Bruce Marsh
CERN-ISOLDE
isac-2 conf. roomIon beam production, spectroscopy applications and future developments of the ISOLDE resonance ionisation laser ion source.
Abstract:
 
Wed ,
2018-07-25
14:00ColloquiumCathy Cutler
Brookhaven National Lab
AuditoriumIsotope Production at Brookhaven
Abstract:As vectors have advanced in their size, shape and complexity, so has the need for longer-lived positron emitters. It can take days for selective targeting of antibodies to reach maximum uptake in tumor tissue. Brookhaven National Laboratory (BNL) is investigating high energy proton production of longer lived positron emitters that can be made available via generators to hospitals for preclinical and clinical use. The two we are focused on is Sc-44 (half-life 3.97 hr) that is produced via decay of Ti-44 (half-life of 60 yr) and As-72 (half-life = 26 hr) that is produced via the decay of Se-72 (half-life = 8 days). In addition to the irradiation of the target to produce the parent isotopes by high energy proton irradiations, BNL is investigating optimized production and purification methods. As well as generator systems that would enable these to be used similarly to Tc-99m and Ga-68 generators. Scandium-44 has chemistry similar to many commonly used +3 radio metals and thus can use the common ligands. However, As-72 has very different chemistry and we have been working in collaboration with researchers at the University of Missouri on developing unique ligands that can be used to attach As radio metals to peptides and antibodies for both diagnostic and therapeutic applications. Results on these efforts will be presented.
 
Thu ,
2018-07-26
14:00
CANCELED
SpecialJacob Scharcanski
Federal University of Rio Grande do Sul
AuditoriumComputer Vision in Medical Imaging Measurements: Making Sense of Visual Data
Abstract:In this talk, we discuss how computer vision can facilitate the interpretation of medical imaging data, or help making inferences based on models of such data. In order to illustrate this presentation, several applications of medical imaging measurements and modeling are discussed, focusing in areas such as the correction of imaging artifacts that may occlude visual information, tumor detection, modeling and measurement in different imaging modalities. When interpreting medical imaging data with computer vision, usually we are trying to describe anatomic structures (or medical phenomena) using one or more images, and reconstruct some of its properties based on imaging data (like shape, texture or color). Actually, this is an ill-posed problem that humans can learn to solve effortlessly, but computer algorithms often are prone to errors. Nevertheless, in some cases computers can surpass humans and interpret medical images more accurately, given the proper choice of models, as we will show in this talk. Reconstructing interesting properties of real world objects or phenomena from captured imaging data involves solving an inverse problem, in which we seek to recover some unknowns given insufficient information to specify a unique solution. Therefore, we disambiguate between possible solutions relying on models based on physics, mathematics or statistics. Modeling the real world in all its complexity still is an open problem. However, if we know the phenomenon or object of interest, we can construct detailed models using specialized techniques and domain specific representations, that are efficient at describing reliably the measurements (or obtaining measurements in some cases). In this talk, we briefly overview some challenging problems in computer vision for medical imaging and measurements, with illustrations and insights about model selection and model-based prediction. Some of the applications discussed in this talk are: modeling tumor shape and size, and making inferences about its future growth or shrinkage; modeling relevant details in the background of medical images to discriminate them from useless background noise; and modeling shading artifacts to minimize their influence when detecting and measuring skin lesions in standard camera images. Medical images contain a wealth of information, which makes modeling of medical images a challenging task. Therefore, medical images often are segmented into multiple elementary parts, simplifying their representation and changing the image model into something that is more meaningful, or easier to analyze and measure (e.g. by describing the objects boundaries by lines or curves, or the image segments by their textures, colors, etc.). Nevertheless, these simpler image elements may be easy to perceive visually but difficult to describe. For example, the texture of a skin lesion may not have an identifiable texture element or a model known a priori, and regardless of that skin lesion detection must be accurate and precise. Segmentation of medical imaging data segmentation and analysis still is an open question, and some current directions are discussed in this talk.
 
Fri ,
2018-08-24
11:00ColloquiumRoland Diehl
Max Planck Institute for Extraterrestrial Physics Garching
AuditoriumGamma-Ray Astronomy
Thu ,
2018-09-06
14:00ColloquiumMirko Miorelli
TRIUMF/UBC
AuditoriumDNP Thesis Prize
Tue ,
2018-10-16
13:00TheoryGopolang Mohlabeng
Brookhaven National Laboratory
AuditoriumRevisiting the Dark Photon Interpretation of the Muon g-2 anomaly
Abstract:We investigate the parameter space in which the dark photon may still explain the muon g-2 anomaly. We consider a model of an inelastic dark sector which couples directly to the dark photon. This scenario may lead to semi-visible decays of the dark photon leading to a parameter space in which the dark photon interpretation of the muon g-2 anomaly may still be viable as opposed to both exclusively visible and invisible decays, which have been excluded by experiments. Furthermore, we show that one of the dark sector states may contribute to the required dark matter relic abundance. It is possible that the semi-visible events we discuss, may have been vetoed by experiments searching for the invisible dark photon decays, such as BABAR.
 
Thu ,
2018-10-18
14:00ColloquiumDavid DeMille
Yale
AuditoriumPrecision Measurements
Thu ,
2018-11-08
14:00ColloquiumClifford Cheung
Caltech
AuditoriumNew Directions in Quantum Field Theory