BACKGROUND Diffusion kurtosis imaging (DKI) allows for assessment of diffusion influenced by microcellular structures. We analyzed DKI in suspected low-grade gliomas prior to histopathological diagnosis. The aim was to investigate if diffusion parameters in the perilesional normal-appearing white matter (NAWM) differed from contralesional white matter, and to investigate differences between gli...

ID: 18746 Title: FDG-PET Histogram Distances: Novel Predictors of Tumor Response to Chemoradiotherapy Purpose: To examine the accuracy of FGD-PET histogram distances as predictors of pathologic tumor response to chemo-radiotherapy (CRT) in esophageal cancer. Methods: Twenty patients were included. A rigid registration was used to align the post-CRT PET/CT with the pre-CRT PET/CT images. The pri...

In 2009, Tsai et al. proposed reversible image hiding scheme using linear prediction coding and histogram shifting. Tsai et al.’s scheme improved the hiding capacity of Ni et al.’s scheme using the linear prediction coding and two histograms. In the linear prediction coding, however, the basic pixel is not used. If a value of basic pixel is the largest or the smallest in a block, only one histo...

Reversible data hiding has drawn a lot of interest recently. Being reversible, the original image can be completely restored without distortion. In this paper, a novel reversible data hiding scheme is proposed, which is based on histogram shifting of prediction errors. The JPEGLS prediction method is employed. We apply the peak point of a histogram in a prediction error (PE) image to generate a...

Color histogram matching has been shown to be a promising way of quickly indexing into a large image database. Yet, few experiments have been done to test the method on truly large databases, and even if they were performed, they would give little guidance to a user wondering if the technique would be useful with his or her database. In this paper we de ne and analyze measures relevant to exten...

In this project, six histogram-based search methods are investigated in two different color spaces, RGB and HSV. Histogram search characterizes an image by its color distribution, or histogram but the drawback of a global histogram representation is that information about object location, shape, and texture is discarded. Thus this project showed that images retrieved by using the global color h...

PURPOSE To evaluate diffusion weighted MRI (DW-MR) as a response metric for assessment of neoadjuvant chemotherapy (NAC) in patients with primary breast cancer using prospective multi-center trials which provided MR scans along with clinical outcome information. MATERIALS AND METHODS A total of 39 patients with locally advanced breast cancer accrued from three different prospective clinical t...

<span>Lebesgue spaces (</span><em><span>L<sup>p</sup></span></em><span> over </span><em><span>R<sup>n</sup></span></em><span>) play a significant role in mathematical analysis. They are widely used machine learning and artificial intelligence to maximize performance or minimize error. The well-...

To simplify the histogram feature computation, we proceed as follows: i) in a first step, for each query point p we compute only the relationships (see Equation 1) between itself and its neighbors – we will call this the Simplified Point Feature Histogram (SPFH); ii) then in a second step, for each point we re-determine its k neighbors and use the neighboring SPFH values to weight the final his...

BACKGROUND AND PURPOSE Inclusion of oligodendroglial tumors may confound the utility of MR based glioma grading. Our aim was, first, to assess retrospectively whether a histogram-analysis method of MR perfusion images may both grade gliomas and differentiate between low-grade oligodendroglial tumors with or without loss of heterozygosity (LOH) on 1p/19q and, second, to assess retrospectively wh...