Improving the diagnostic yield of magnetic resonance spectroscopy for pediatric brain tumors through mathematical optimization
From MaRDI portal
Publication:335919
DOI10.1007/s10910-016-0632-9zbMath1359.92057OpenAlexW2385726366MaRDI QIDQ335919
Publication date: 10 November 2016
Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10910-016-0632-9
Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (14)
Validation of reconstructed component spectra from non-parametric derivative envelopes: comparison with component lineshapes from parametric derivative estimations with the solved quantification problem ⋮ Synergism of spectra averaging and extrapolation for quantification of in vivo MRS time signals encoded from the ovary ⋮ Encoded in vivo time signals from the ovary in magnetic resonance spectroscopy: poles and zeros as the cornerstone for stability of response functions of systems to external perturbations ⋮ Visualizing hidden components of envelopes non-parametrically in magnetic resonance spectroscopy: phosphocholine, a breast cancer biomarker ⋮ Review of recent applications of the conventional and derivative fast Padé transform for magnetic resonance spectroscopy ⋮ Robust identification of the cancer biomarker phosphocholine through partitioned envelopes in noisy magnetic resonance spectroscopic data by the non-parametric fast Padé transform ⋮ Exact quantification by the nonparametric fast Padé transform using only shape estimation of high-order derivatives of envelopes ⋮ Inverse problem for reconstruction of components from derivative envelope in ovarian MRS: citrate quartet as a cancer biomarker with considerably decreased levels in malignant vs benign samples ⋮ \textit{In vivo} derivative NMR spectroscopy for simultaneous improvements of resolution and signal-to-noise-ratio: case study, glioma ⋮ Explicit extraction of absorption peak positions, widths and heights using higher order derivatives of total shape spectra by nonparametric processing of time signals as complex damped multi-exponentials ⋮ Iterative averaging of spectra as a powerful way of suppressing spurious resonances in signal processing ⋮ In vivo magnetic resonance spectroscopy for ovarian cancer diagnostics: quantification by the fast Padé transform ⋮ Automatic self-correcting in signal processing for magnetic resonance spectroscopy: noise reduction, resolution improvement and splitting overlapped peaks ⋮ In vitro proton magnetic resonance spectroscopy at 14T for benign and malignant ovary. I: Signal processing by the nonparametric fast Padé transform
Cites Work
- Quantification by the fast Padé transform of magnetic resonance spectroscopic data encoded at 1.5 T: implications for brain tumor diagnostics
- Unequivocal disentangling genuine from spurious information in time signals: clinical relevance in cancer diagnostics through magnetic resonance spectroscopy
- The potential for practical improvements in cancer diagnostics by mathematically-optimized magnetic resonance spectroscopy
- Mathematical optimization of in vivo NMR chemistry through the fast Padé transform: Potential relevance for early breast cancer detection by magnetic resonance spectroscopy
- A meta-analysis of studies using MR spectroscopy for evaluating suspicious lesions after radiation therapy of primary brain tumors
- Resolution enhancement as a key step towards clinical implementation of Padé-optimized magnetic resonance spectroscopy for diagnostic oncology
- High speed associative memories for feature extraction and visualisation
- Unnamed Item
- Unnamed Item
This page was built for publication: Improving the diagnostic yield of magnetic resonance spectroscopy for pediatric brain tumors through mathematical optimization