A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy

@article{Belghith2013AUF,
  title={A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy},
  author={Akram Belghith and Christophe Collet and Lucien Rumbach and Jean-Paul Armspach},
  journal={Signal, Image and Video Processing},
  year={2013},
  volume={7},
  pages={833-842}
}
In this paper, we propose a new scheme to detect and align simultaneously peaks that correspond to different metabolites within a biopsy. The proposed peak detection and alignment scheme is based on the use of evidence theory, which is well suited to model uncertainty and imprecision characterizing the 2D NMR HR-MAS spectra. Consequently, we propose the coupling use of Bayesian and fuzzy set theories to model and quantify the imprecision degree, which is then exploited to define the mass… 

Representation of 1-D Signals by a 0_1 Sequence and Similarity-Based Interpretation: A Case-Based Reasoning Approach

TLDR
This paper describes in this paper how the signal representation is obtained by Delta Modulation, the similarity measure for the comparison of the signals and give results for searching the data base.

A Novel Method for the Interpretation of Spectrometer Signals Based on Delta-Modulation and Similarity Determination

TLDR
This paper describes in this paper how the signal representation is obtained by Delta Modulation, the similarity measure for the comparison of the signals and give results for searching the data base.

A New Similarity Measure for Sequences and Time-Series Applied to Spectrometer Signal Analysis

  • P. Perner
  • Computer Science
    Trans. Case Based Reason.
  • 2016
TLDR
This paper describes in this paper how the signal representation is obtained by Delta Modulation, the similarity measure for the comparison of the signals and give results for searching the data base.

Penalized Estimation in High-Dimensional Data Analysis

__Abstract__ A common task in statistical practice is the estimation of unknown parameters from available data. When proposing a model one could rely on unbiased estimators, meaning that the

Glaucoma progression detection using nonlocal Markov random field prior

TLDR
This work presents a new framework for detection of glaucoma progression using 3-D SD-OCT images, and proposes the use of the Markov random field (MRF) model as a prior for the change detection map.

References

SHOWING 1-10 OF 22 REFERENCES

2D NMR metabonomic analysis: a novel method for automated peak alignment

TLDR
A novel statistical method was developed to align NMR peaks that represent the same chemical groups across multiple 2D NMR spectra, and a heuristic algorithm maximizes the similarity measure for peaks across the whole spectrum.

Metabolic characterization of primary human colorectal cancers using high resolution magic angle spinning 1H magnetic resonance spectroscopy

TLDR
The identification of the metabolites at the origin of this discrimination revealed that adenocarcinomas are richer in taurine, glutamate, aspartate, and lactate whereas healthy tissues contain a higher amount of myo-inositol and β-glucose.

Maximum a Posteriori Local Histogram Estimation for Image Registration

TLDR
This work applies a method of MAP (maximum a posteriori) estimation to deformable registration of MR and US images for an IGNS (image-guided guided neurosurgery) application, where this estimator results in more stable and accurate registration than a traditional ML approach.

Bayesian image reconstruction for transmission tomography using deterministic annealing

TLDR
Deterministic annealing is designed to seek approximate global maxima to the objective, and thus robustify the problem to initial conditions and empirically show that DA reconstructions are stable with respect to small measure- ment changes.

A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique

TLDR
This paper proposes a novel approach to detect hotspots using NOAA advanced very high resolution radiometer (AVHRR) for the Jharia, Jharkhand (India) region using fuzzy logic approach and good agreement has been obtained between observed and predicted hotspots.

Metabolic profiles of cancer cells

TLDR
Global analysis of metabolites, such as by mass spectrometry and high-resolution 1H nuclear magnetic resonance spectroscopy, can be used to define the metabolic phenotype of cells, tissues or organisms.

High Resolution NMR: Theory and Chemical Applications

A new point matching algorithm for non-rigid registration