View source for ImageArchive/2008

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=Image Archive 2008=
==December==
[[Image:Gouttard-MICCAI2008-2-fig5.png|left|485px|thumb|'''Assessment of Reliability of Multi-site Neuroimaging Via Traveling Phantom Study.''' 3D display of binarized probabilistic template. Segmentation of subcortical structures averaged over scanner type A and both phantoms. [http://www.na-mic.org/publications/item/view/1479 Read more...]]]

==October==
[[Image:Oguz-ISBI2008-fig1.png|left|485px|thumb|'''Cortical correspondence using entropy-based particle systems and local features.''' The sulcal depth pictured as a color map on the white matter surface and its inflation surface. The green and red regions correspond to highly negative and highly positive values of sulcal depth, respectively. [http://meetings.nigms.nih.gov/index.cfm?event=home&ID=1444 Read more...]]]

==September==
[[Image:Niethammer-IEEE-TPAMI2008-fig2c.png|left|485px|thumb|'''Geometric observers for dynamically evolving curves'''The topology and geometry of curve comparison. a:Solution domain decomposition. b: Distance from estimate to measurement. c: Distance from measurement to estimate. [http://meetings.nigms.nih.gov/index.cfm?event=home&ID=1408 Read more...]]]

==June==
[[Image:GeorgiouLinearAlegbra2007-fig2c.png|left|thumb|485px|'''Distribution Metrics and Image Segmentation.''' Left: Initialization of information based active contour on CT bone image. Right: Active contour captures bone.   [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=540 Read more ...]]]

==April==
[[Image:Kindlmann-TMI2007-fig10c.png|left|thumb|485px|'''Diffusion tensor analysis with invariant gradients and rotation tangents.''' Guided by empirically established connections between clinically important tissue properties and diffusion tensor parameters, we introduce a framework for decomposing variations in diffusion tensors into changes in shape and orientation.  [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=1135 Read more ...]]]

==March==
[[Image:Niethammer-MICCAI2007-2-fig3c.png|left|thumb|485px|'''Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum.''' In this paper we develop a new algorithm to analyze shape changes globally, going beyond volume changes, based on the Laplace-Beltrami surface spectrum. While it does not afford local analysis, the method allows for shape comparisons with minimal preprocessing. In particular, no prior shape alignment is required.  [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=1080 Read more ...]]]