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X-WR-CALNAME:Biomedical Imaging and Analysis 2008/2009 Events
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DTSTART;TZID=US/Eastern:20080912T140000
DTEND;TZID=US/Eastern:20080912T150000
URL;VALUE=URI:http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1905
SUMMARY:Statistical Computing on Manifold Examplified with Tensors in DTI and Computational Anatomy
LOCATION:32-D507
DESCRIPTION:Series: Biomedical Imaging and Analysis 2008/2009\nSpeaker:  Xavier Pennec\, INRIA\, Sophia Antipolis\, France\nHost: Polina Golland\, CSAIL\nContact: Polina Golland\, x38005\, polina@csail.mit.edu\nRefreshment Time: \nRelevant URL: <a href="http://www-sop.inria.fr/asclepios/personnel/Xavier.Pennec/">http://www-sop.inria.fr/asclepios/personnel/Xavier.Pennec/</a>\nIn standard medical image analysis\, many of the features extracted\nfrom images or from their processing are geometric by nature and noisy\n(e.g.  transformations in registration\, surfaces in\nsegmentations). Likewise\, the usual method of computational anatomy\,\nan emerging discipline that aim at analysing and modeling the\nbiological variability of the human anatomy\, is to identify\nanatomically representative geometric features (points\, tensors\,\ncurves\, surfaces\, volume transformations)\, and to describe and compare\ntheir statistical distribution in different populations.\nUnfortunately\, geometric features most often belong to manifolds that\nare not vector spaces\, which prevents the use of standard statistical\ntools.\n\nBased on a Riemannian manifold structure\, we will detail how one can\ndevelop a consistent framework for statistical computing on manifolds\,\nstarting with the notions of mean value and covariance matrix of a\nrandom element\, normal law\, Mahalanobis distance and test. Then\, we\nwill extend the Riemannian computing framework to PDEs for smoothing\nand interpolation of fields of geometric elements with the example of\npositive define symmetric matrices (tensors). We show that the choice\nof a convenient Riemannian metric allows to generalize consistently to\ntensor fields many important geometric data processing algorithms such\nas interpolation\, filtering\, diffusion and restoration of missing\ndata. This framework will be exemplified with the statistical\nestimation of DTI images from DWI under a Rician noise assumption\, and\nwith the modeling of the brain variability from a dataset of lines on\nthe cerebral cortex.
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DTSTART;TZID=US/Eastern:20080919T140000
DTEND;TZID=US/Eastern:20080919T150000
URL;VALUE=URI:http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1906
SUMMARY:High-throughput on-chip whole-animal genetic/compound screening at cellular resolution in vivo
LOCATION:32-D507
DESCRIPTION:Series: Biomedical Imaging and Analysis 2008/2009\nSpeaker:  Mehmet Fatih Yanik\, EECS/RLE\, MIT\nHost: Polina Golland\, CSAIL\nContact: Polina Golland\, x38005\, polina@csail.mit.edu\nRefreshment Time: \nRelevant URL: <a href=""></a>\nIn recent years\, the advantages of using small invertebrate animals as\nmodel systems for human disease have become increasingly apparent\, and\nhave resulted in two Nobel Prizes in Physiology and Medicine in 2002\nand 2006 for discoveries made in the nematode C. elegans. The\navailability of a wide array of species-specific genetic techniques\,\nalong with the worm's transparency\, and its ability to grow in minute\nvolumes make C. elegans an extremely powerful model organism. However\,\nsince the first studies in the early 1960s\, little has changed in how\nscientists manipulate this organism.  As a result\, high-throughput\nscreens at cellular or sub-cellular resolution in whole-animals cannot\nbe performed currently. We present key technologies that allow complex\nhigh-throughput whole-animal genetic and drug screens at sub-cellular\nresolution. We demonstrate high speed microfluidic sorters\, which\nrapidly isolate and immobilize single awake animals in well-defined\ngeometries for high-throughput imaging and manipulating phenotypic\nfeatures at sub-cellular resolution. We developed integrated chips\ncontaining individually addressable incubation chambers for exposure\nof individual animals to biochemical compounds\, and high-resolution\ntime-lapse imaging of many animals on a single chip without the need\nfor anesthesia. We show devices for delivery of compound libraries in\nstandard multi-well plates to microfluidic devices\, and also for rapid\ndispensing of screened animals into multi-well plates. When used in\nvarious combinations\, these technologies allow all types of\nhigh-throughput assays on small-animals at sub-cellular resolution\nincluding mutagenesis\, RNAi and compound screens\, as well as\nlarge-scale in vivo neural degeneration and regeneration studies using\nfemtosecond laser microsurgery.\n\nJoint work with Christopher Rohde\, Cody Gilleland\, Chrysanthi Samara\, Fei Zeng.
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DTSTART;TZID=US/Eastern:20081010T140000
DTEND;TZID=US/Eastern:20081010T150000
URL;VALUE=URI:http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1907
SUMMARY:TBA
LOCATION:32-D507
DESCRIPTION:Series: Biomedical Imaging and Analysis 2008/2009\nSpeaker:  Baba Vemuri\, University of Florida\, Gainesville\nHost: Polina Golland\, CSAIL\nContact: Polina Golland\, x38005\, polina@csail.mit.edu\nRefreshment Time: \nRelevant URL: <a href=""></a>\n
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DTSTART;TZID=US/Eastern:20081031T140000
DTEND;TZID=US/Eastern:20081031T150000
URL;VALUE=URI:http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1908
SUMMARY:TBA
LOCATION:32-D507
DESCRIPTION:Series: Biomedical Imaging and Analysis 2008/2009\nSpeaker:  Jason J. Corso\, University at Buffalo SUNY\nHost: Polina Golland\, CSAIL\nContact: Polina Golland\, x38005\, polina@csail.mit.edu\nRefreshment Time: \nRelevant URL: \n
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BEGIN:VEVENT
DTSTART;TZID=US/Eastern:20081121T140000
DTEND;TZID=US/Eastern:20081121T150000
URL;VALUE=URI:http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1909
SUMMARY:TBA
LOCATION:32-D507
DESCRIPTION:Series: Biomedical Imaging and Analysis 2008/2009\nSpeaker:  P Ellen Grant\, Martinos Center for Biomedical Imaging\, Harvard Medical School\nHost: Polina Golland\, CSAIL\nContact: Polina Golland\, x38005\, polina@csail.mit.edu\nRefreshment Time: \nRelevant URL: \n
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