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	<title><![CDATA[productivity and springer science+business media Resources | BNET]]></title>
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	<description><![CDATA[White papers, case studies, business articles, and blog posts relating to productivity and springer science+business media]]></description>
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		<title><![CDATA[Anisotropic Interpolation of DT-MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122715]]></link>
		<description><![CDATA[Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, they present a new technique to interpolate the diffusion tensor field, preserving boundaries and the constraint of positive-semi definiteness. Their approach is based on the use...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Wed, 01 Sep 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/technique.html"><![CDATA[Technique]]></category>
		<category domain="http://resources.bnet.com/topic/imaging.html"><![CDATA[Imaging]]></category>
		<category domain="http://resources.bnet.com/topic/digital+image.html"><![CDATA[Digital Image]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/interpolation.html"><![CDATA[Interpolation]]></category>
		<category domain="http://resources.bnet.com/topic/document+management.html"><![CDATA[Document Management]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
		<category domain="http://resources.bnet.com/topic/enterprise+software.html"><![CDATA[Enterprise Software]]></category>
		<category domain="http://resources.bnet.com/topic/software.html"><![CDATA[Software]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/managerial+accounting.html"><![CDATA[Managerial Accounting]]></category>
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		<title><![CDATA[Interface Detection in Diffusion Tensor MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122717]]></link>
		<description><![CDATA[This paper presents a new method for detecting the interface, or edge, structure present in diffusion MRI. Interface detection is an important first step for applications including segmentation and registration. Additionally, due to the higher dimensionality of tensor data, humans are visually unable to detect edges as easily as in...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Wed, 01 Sep 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/detection.html"><![CDATA[Detection]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
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		<title><![CDATA[3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122665]]></link>
		<description><![CDATA[Radiofrequency ablation is being used increasingly in the treatment of liver tumors, and the detection of local recurrences on follow-up imaging is an important and occasionally challenging task. When the tumor is not associated with nodular enhancement, recurrence detection only relies on a precise identification of shape changes in the...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/3d.html"><![CDATA[3D]]></category>
		<category domain="http://resources.bnet.com/topic/detection.html"><![CDATA[Detection]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
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		<category domain="http://resources.bnet.com/topic/computer.html"><![CDATA[Computer]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
		<category domain="http://resources.bnet.com/topic/document+management.html"><![CDATA[Document Management]]></category>
		<category domain="http://resources.bnet.com/topic/enterprise+software.html"><![CDATA[Enterprise Software]]></category>
		<category domain="http://resources.bnet.com/topic/software.html"><![CDATA[Software]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/managerial+accounting.html"><![CDATA[Managerial Accounting]]></category>
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		<title><![CDATA[Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122765]]></link>
		<description><![CDATA[This paper presents a composite method for landmark-guided surface matching and volumetric non-rigid registration, with an application to prostate biopsy. The two-step method, based primarily on finite element and thin-plate spline techniques, consists of a boundary matching process, followed by a volumetric warping step. In practice, the boundary matching method...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/method.html"><![CDATA[Method]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
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		<title><![CDATA[Tensor Field Regularization Using Normalized Convolution]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123452]]></link>
		<description><![CDATA[This paper presents a filtering technique for regularizing tensor fields. It uses a nonlinear filtering technique termed normalized convolution, a general method for filtering missing and uncertain data. In the present work we extend the signal certainty function to depend on locally derived certainty information in addition to the priory...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Tue, 13 Apr 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/technique.html"><![CDATA[Technique]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
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