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21-511: IPMI may refer to: Information Processing in Medical Imaging , a medical imaging conference Intelligent Platform Management Interface , in computing Ivey Purchasing Managers Index , in economics Topics referred to by the same term [REDACTED] This disambiguation page lists articles associated with the title IPMI . If an internal link led you here, you may wish to change

42-602: A game-theoretic framework. 1993 (Flagstaff, AZ, USA): Jeffrey A. Fessler , University of Michigan, Ann Arbor, MI, USA. J.A. Fessler: Tomographic reconstruction using information-weighted spline smoothing. 1995 (Brest, France): Maurits K. Konings , University Hospital, Utrecht, The Netherlands. M.K. Konings, W.P.T.M. Mali, M.A. Viergever: Design of a robust strategy to measure intravascular electrical impedance. 1997 (Poultney, VT, USA): David Atkinson , Guy's Hospital, London, UK. D. Atkinson, D.L.G. Hill, P.N.R. Stoyle, P.E. Summers, S.F. Keevil: An autofocus algorithm for

63-436: A variety of phenomena such as the underlying physics of the energy-tissue interaction as between ultrasound and air, susceptibility artifacts, data acquisition errors (such as patient motion), or a reconstruction algorithm 's inability to represent the anatomy. Physicians typically learn to recognize some of these artifacts to avoid mistaking them for actual pathology . In ultrasound imaging, several assumptions are made from

84-1077: Is a conference that many attendees very much look forward to. The proceedings of the conference including all papers accepted for presentation are published by Springer in the series titles, "Lecture Notes on Computer Science" and "Image Processing, Computer Vision, Pattern Recognition, and Graphics." Some proceedings available online include those from the following years: 1983 1987 1989 1991 1993 1995 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019 2021 1987 (Utrecht, The Netherlands): John M. Gauch , University of North Carolina, Chapel Hill, NC, USA. J.M. Gauch, W.R. Oliver, S.M. Pizer: Multiresolution shape descriptions and their applications in medical imaging. 1989 (Berkeley, CA, USA): Arthur F. Gmitro , University of Arizona, Tucson, AZ, USA. A.F. Gmitro, V. Tresp, V. Chen, Y. Snell, G.R. Gindi: Video-rate reconstruction of CT and MR images. 1991 (Wye, Kent, UK): H. Isil Bozma , Yale University, New Haven, CT, USA. H.I. Bozma, J.S. Duncan: Model-based recognition of multiple deformable objects using

105-641: Is approximately equal to twice the percentage of citizens making more than $ 50,000 annually; if 60% of citizens make more than $ 50,000 annually, this would predict that the approval rating will be 120%. This prediction is a statistical artifact, since it is spurious to use the model when the percentage of citizens making over $ 50,000 is so high, and gross error to predict an approval rating greater than 100%. In medical imaging , artifacts are misrepresentations of tissue structures produced by imaging techniques such as ultrasound , X-ray , CT scan , and magnetic resonance imaging (MRI). These artifacts may be caused by

126-1506: The Diffusion Propagator 2011 (Kloster Irsee, Germany): Hubert Fonteijn , University College London, London, UK. H. M. Fonteijn, M. J. Clarkson, M. Modat, J. Barnes, M. Lehmann, S. Ourselin, N. C. Fox, D. C. Alexander: An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease 2013 (Asilomar, California, USA): Hervé Lombaert , McGill University, Montreal H. Lombaert, J. Sporring, K. Siddiqi: Towards Diffeomorphic Spectral Matching of Cortical Surfaces 2015 (Isle of Skye, Scotland, UK): Joseph Dagher , University of Arizona J. Dagher: A Joint Acquisition-Estimation Framework for MR Phase Imaging 2017 (Boone, North Carolina, USA): Thomas Schlegl , Medical University of Vienna Thomas Schlegl, Philipp Seeböck, Sebastian Waldstein, Georg Langs: Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery 2019 (Hong Kong): Sara Garbarino , Université Côte d’Azur Sara Garbarino and Marco Lorenzi: Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks 2021 (Virtual, Bornholm, Denmark): Kristen Campbell , University of Utah Kristen Campbell, Haocheng Dai, Zhe Su, Martin Bauer, Tom Fletcher, Sarang Joshi: Structural Connectome Atlas Construction in

147-498: The Space of Riemannian Metrics 2023 (Bariloche, Argentina): John Orlando Kalkhof , TU Darmstadt John Orlando Kalkhof, Camila Gonzalez, Anirban Mukhopadhyay: Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata Artifact (error)#Medical imaging In natural science and signal processing , an artifact or artefact is any error in the perception or representation of any information introduced by

168-532: The automatic correction of motion artifacts in MR images . 1999 (Visegrad, Hungary): Liana M. Lorigo , Massachusetts Institute of Technology, Cambridge, MA, USA. L.M. Lorigo, O. Faugeras, W.E.L. Grimson , R. Keriven, R. Kikinis , C.-F. Westin: Co-dimension 2 geodesic active contours for MRA segmentation. 2001 (Davis, CA, USA): Viktor K. Jirsa , Florida Atlantic University, FL, USA. V.K. Jirsa , K.J. Jantzen, A. Fuchs, J.A. Scott Kelso: Neural field dynamics on

189-418: The community through vigorous evaluation of avant-garde developments in medical imaging. To permit such depth the conference is limited to a maximum of 120 participants. Reflecting its focus on depth and community, IPMI is often held in a relatively small and sometimes remote location. Attendees are accommodated together in collective housing in campus or university dorms, meals are typically enjoyed together by

210-414: The computer system to interpret the returning echoes. These are: echoes originate only from the main ultrasound beam (while there are side lobes and grating lobes apart from the main ultrasound beam); echoes returns to transducer after a single reflection (while an echo can be reflected several times before reaching the transducer); depth of an object relates directly to the amount of time for an echo to reach

231-715: The electrophysiological structure being studied. These artifact signals may stem from, but are not limited to: light sources; monitoring equipment issues; utility frequency (50 Hz and 60 Hz); or undesired electrophysiological signals such as EMG presenting on an EEG -, EP -, ECG -, or EOG - signal. Offending artifacts may obscure, distort, or completely misrepresent the true underlying electrophysiological signal sought. In radar signal processing , some echoes can be related to fixed objects ( clutter ), multipath returns, jamming , atmospheric effect ( brightband or attenuation ), anomalous propagation , and many other effects. All those echoes must be filtered in order to obtain

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252-422: The entire community, and by a string of luck IPMI conferences have thus far been held in close proximity to a bar open sufficiently late to host continued scholarly debate. Further, IPMI fosters collaboration through its several social functions including the traditional soccer match and activities that take advantage of the typically remote setting. For its tradition, intellectual value, and community building IPMI

273-1093: The folded three-dimensional cortical sheet and its forward EEG and MEG. 2003 (Ambleside, UK): Guillaume Marrelec , INSERM, France. G. Marrelec, P. Ciuciu, M. Pélégrini-Issac, H. Benali: Estimation of the hemodynamic response function in event-related functional MRI: directed acyclic graphs for a general Bayesian inference framework. 2005 (Glenwood Springs, Colorado, USA): Duygu Tosun , Johns Hopkins University, Baltimore, USA. D. Tosun, J.L. Prince : Cortical surface alignment using geometry driven multispectral optical flow. 2007 (Kerkrade, The Netherlands): Ben Glocker , Technische Universität München, Garching, Germany. B. Glocker, N. Komodakis, N. Paragios , G. Tziritas, and N. Navab: Inter- and intra-modal deformable registration: continuous deformations meet efficient optimal linear programming. 2009 (Williamsburg, VA, USA): Maxime Descoteaux , NeuroSpin , Saclay, France M. Descoteaux, R. Deriche, D. Le Bihan, J.F. Mangin, C. Poupon: Diffusion Propagator Imaging: Using Laplace's Equation and Multiple Shell Acquisitions to Reconstruct

294-413: The involved equipment or technique(s). In statistics , statistical artifacts are apparent effects that are introduced inadvertently during analysis of data rather than by the process being studied. In computer science , digital artifacts are anomalies introduced into digital signals as a result of digital signal processing . In microscopy , visual artifacts are sometimes introduced during

315-553: The link to point directly to the intended article. Retrieved from " https://en.wikipedia.org/w/index.php?title=IPMI&oldid=932892345 " Category : Disambiguation pages Hidden categories: Short description is different from Wikidata All article disambiguation pages All disambiguation pages Information Processing in Medical Imaging The Information Processing in Medical Imaging conference – IPMI -

336-776: The meeting. Commemorating his contribution as the conference founder, beginning with IPMI 1987 the Francois Erbsmann prize is awarded by the IPMI board each conference to one young investigator for outstanding contribution to the field. This investigator must have given their first oral presentation at the current IPMI. Standing with tradition, IPMI includes a single track of presentations on novel methodology wherein speakers are allotted sufficient time to describe their contributions in thorough detail. Discussions following each presentation have no time-limit permitting stimulating debate and resolution of any questions or comments regarding

357-419: The processing of samples into slide form. In econometrics , which focuses on computing relationships between related variables , an artifact is a spurious finding, such as one based on either a faulty choice of variables or an over-extension of the computed relationship. Such an artifact may be called a statistical artifact . For instance, imagine a hypothetical finding that presidential approval rating

378-451: The transducer (while an echo may reflect several times, delaying the time for the echo return to the transducer); speed of ultrasound in human tissue is constant, echoes travel in a straight path. and acoustic energy of an echo is uniformly attenuated. When these assumptions are not maintained, artifacts occur. In medical electrophysiological monitoring, artifacts are anomalous (interfering) signals that originate from some source other than

399-485: The work, alternatives to it, additional possible applications, etc. Further, the paper associated with each presentation is assigned a study-group of attendees in advance rendering a portion of the community prepared to provide real time peer discussion in high technical detail. Study groups often pair younger researchers with field experts encouraging an exchange of experience and new ideas. Often, discussions and debates are continued through meals and social activities uniting

420-547: Was first organized by Francois Erbsmann and collaborators in Brussels in 1969. That first conference was held under the title, “Information Processing in Scintigraphy ” as at the time the meeting was focused on restoration of those images derived by nuclear medicine . Since that first instance, the conference has successfully met every two years. The third instance of the meeting, organized by Stephen Pizer and Charles Metz,

441-548: Was its first appearance in the United States and since that occasion IPMI has alternated its venue between the U.S. and Europe. It was the 1977 meeting organized by Randy Brill in Nashville that first used the name IPMI to reflect the broadening community of physicists, mathematicians, computer scientists, and biologists interested in medical image computing in its many manifestations and applications who now contributed to

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