PURPOSE The aim of this study was to examine the usefulness of the subtraction technique of non-contrast renal magnetic resonance angiography (MRA) between tagged and non-tagged data collection. MATERIAL AND METHODS We performed renal MRA on eleven healthy volunteers using a 3T MRI unit. For renal MRA, a three dimensional balanced type steady-state free precession (SSFP) sequence (True FISP, ...

Introduction Arterial Spin Labeling (ASL) is a well-known technique that allows the non-invasive acquisition of angiograms without the need of a contrast agent [1][2]. ASL angiography is still clinically underused because of several challenges [3]: ASL requires two acquisitions (labeled and non labeled dataset) thereby doubling scan time. The need of subtraction increases the sensitivity to spa...

Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be found. To cope with highly dynamic and complex environments, a mixture of several models has been proposed in the literature. We propose a novel background subtraction technique based on the popular Mixture of Gaussian Mode...

To streamline in vivo biomarker discovery, we developed a suppression subtractive DNA hybridization technique adapted for phage-displayed combinatorial libraries of 12 amino acid peptides (PhiSSH). Physical DNA subtraction is performed in a one-tube-all-reactions format by sequential addition of reagents, producing the enrichment of specific clones of one repertoire. High-complexity phage reper...

In this paper, we propose a new approach to improve the performance of speech enhancement technique based on multi-band spectral subtraction for white Gaussian noise. First, the original power spectral subtraction and multiband spectral subtraction methods are surveyed and implemented. Next, the generalization is applied on multiband spectral subtraction. Finally, the flattened noise spectrum w...

The corruption of speech due to presence of additive background noise causes severe difficulties in various communications environments. This paper addresses the problem of reduction of additive background noise in speech. The proposed approach is a frequency dependent speech enhancement method based on the proven spectral subtraction method. Most implementations and variations of the basic spe...

Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background subtraction (BS) refers to the process of segmenting moving regions from video sensor data and is usually performed at pixel level. In its standard form this technique involves building a model of the background and extr...

This paper presents experimental results on whispered speech recognition based Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean Subtraction normalization technique. The feature vectors taken into consideration are Linear Frequency Coefficients, Mel Coefficients Coefficients. A speaker dependent scenario is used. For process, Dynamic Time Warping Hidden...

In this paper, we study the problem of robust speech recognition in adverse environments. We focus our attention to the following two types of distortions: 1) the additive noise distortion, 2) the channel mismatch distortion. The maximum likelihood (ML) equalization technique is used to compensate for these distortions. Performance of the ML technique is compared with the following channel equa...