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Methodologies linking patterns from multi-modality datasets

A data set and modality technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems that have not been considered

Inactive Publication Date: 2007-11-07
旗帜健康公司
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Problems solved by technology

Also, since the number of X-blocks is more than one, studies on compaction schemes are needed, but in their study they did not consider

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  • Methodologies linking patterns from multi-modality datasets
  • Methodologies linking patterns from multi-modality datasets
  • Methodologies linking patterns from multi-modality datasets

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[0207] FIG. 7 is a graph depicting a comparison between exact agnostic PLS operation and imprecise agnostic PLS operation. The figure states the eigenvectors of a 29 by 200 random matrix. For this eigenvector, the x-axis is the exact agnostic PLS operation and the y-axis is the imprecise agnostic PLS operation.

[0208] show the exact agnostic PLS operation between modalities seen in Fig. 2B, the imprecise agnostic PLS operation seen in Fig. 6A, the standard univariate SPM procedure seen in Fig. 8A, and the Spatial patterns revealed by voxel-by-voxel multivariate MRI-PET SPM. In addition to the voxel-wise multivariate SPM seen in Figure 8B, MRI and PET findings are shown on the left and right, respectively.

[0209] Motivated by the availability of multiple neuroimaging datasets and particularly by the success of unimodal PLS methods, we propose to extend PLS for analysis of dual imaging datasets. We hypothesize that for increased statistical power, this intermodal PLS can ...

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Abstract

A method is disclosed to acquire imaging and non-imaging datasets from like objects. A linkage is found using a partial least squares (PLS) technique between imaging and non-imaging datasets. The linkage is then reduced to an expression of a single numerical assessment. The single numerical assessment is then used as an objective, quantified assessment of the differences and similarities between the objects. The data each dataset can be aspects of performance, physical characteristics, or measurements of appearance.

Description

[0001] Cross References to Related Applications [0002] This application claims U.S. Provisional Application Serial No. 60 / 615,767, filed October 4, 2004, entitled "Neuroimaging Methods and Systems," and filed October 3, 2005, entitled "Link Priority benefit of US Patent Application Serial No. (not yet received) for "Methods for Patterns from Multimodal Datasets", both of which are hereby incorporated by reference. technical field [0003] The present invention relates to imaging, more particularly to linking multimodal imaging and non-imaging datasets, general computational mathematical methods for evaluating effects on subjects from which data in the datasets are obtained, and most particularly to linking multimodal neuroimaging and non-imaging datasets, biomathematical methods for characterizing patient group differences and for evaluating the effects of treatments on neurological, psychiatric, and related disorders in the human subjects from which the datasets were obtain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/05
Inventor 陈克伟埃里克·M.·莱曼
Owner 旗帜健康公司