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1.
Magn Reson Med ; 76(3): 733-41, 2016 09.
Artículo en Inglés | MEDLINE | ID: mdl-26413752

RESUMEN

PURPOSE: To evaluate methods for multichannel combination of three-dimensional MR spectroscopic imaging (MRSI) data with a focus on using information from a water-reference spectroscopic image. METHODS: Volumetric MRSI data were acquired for a phantom and for human brain using 8- and 32-channel detection. Acquisition included a water-reference dataset that was used to determine the weights for several multichannel combination methods. Results were compared using the signal-to-noise ratio (SNR) of the N-acetylaspartate resonance. RESULTS: Performance of all methods was very similar for the phantom study, with the whitened singular value decomposition (WSVD) and signal magnitude (S) weighting combination having a small advantage. For in vivo studies, the S weighting, SNR weighting and signal to noise squared (S/N(2) ) weighting were the three best methods and performed similarly. Example spectra and SNR maps indicated that the SVD and WSVD methods tend to fail for voxels at the outer edges of the brain that include strong lipid signal contributions. CONCLUSION: For data combination of MRSI data using water-reference information, the S/N(2) weighting, SNR and S weighting were the best methods in terms of spectral quality SNR. These methods are also computationally efficient and easy to implement. Magn Reson Med 76:733-741, 2016. © 2015 Wiley Periodicals, Inc.


Asunto(s)
Algoritmos , Ácido Aspártico/análogos & derivados , Imagen por Resonancia Magnética/normas , Espectroscopía de Resonancia Magnética/normas , Agua/análisis , Agua/normas , Ácido Aspártico/análisis , Humanos , Imagen por Resonancia Magnética/métodos , Espectroscopía de Resonancia Magnética/métodos , Fantasmas de Imagen , Valores de Referencia , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
2.
MAGMA ; 29(6): 811-822, 2016 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-27260664

RESUMEN

OBJECTIVES: To evaluate a new denoising method for MR spectroscopic imaging (MRSI) data based on selection of signal-related principal components (SSPCs) from principal components analysis (PCA). MATERIALS AND METHODS: A PCA-based method was implemented for selection of signal-related PCs and denoising achieved by reconstructing the original data set utilizing only these PCs. Performance was evaluated using simulated MRSI data and two volumetric in vivo MRSIs of human brain, from a normal subject and a patient with a brain tumor, using variable signal-to-noise ratios (SNRs), metabolite peak areas, Cramer-Rao bounds (CRBs) of fitted metabolite peak areas and metabolite linewidth. RESULTS: In simulated data, SSPC determined the correct number of signal-related PCs. For in vivo studies, the SSPC denoising resulted in improved SNRs and reduced metabolite quantification uncertainty compared to the original data and two other methods for denoising. The method also performed very well in preserving the spectral linewidth and peak areas. However, this method performs better for regions that have larger numbers of similar spectra. CONCLUSION: The proposed SSPC denoising improved the SNR and metabolite quantification uncertainty in MRSI, with minimal compromise of the spectral information, and can result in increased accuracy.


Asunto(s)
Espectroscopía de Resonancia Magnética , Algoritmos , Encéfalo/diagnóstico por imagen , Encéfalo/metabolismo , Encéfalo/fisiopatología , Neoplasias Encefálicas/diagnóstico por imagen , Neoplasias Encefálicas/fisiopatología , Simulación por Computador , Humanos , Procesamiento de Imagen Asistido por Computador , Modelos Teóricos , Análisis de Componente Principal , Reproducibilidad de los Resultados , Procesamiento de Señales Asistido por Computador , Relación Señal-Ruido
3.
Int J Numer Method Biomed Eng ; 30(11): 1372-86, 2014 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-25045006

RESUMEN

The main objective of this work was to demonstrate computationally that realistic human hearts can be cooled much faster by performing conjugate heat transfer consisting of pumping a cold liquid through the cardiac chambers and major veins while keeping the heart submerged in cold gelatin filling a cooling container. The human heart geometry used for simulations was obtained from three-dimensional, high resolution CT-angio scans. Two fluid flow domains for the right (pulmonic) and left (systemic) heart circulations, and two solid domains for the heart tissue and gelatin solution were defined for multi-domain numerical simulation. Detailed unsteady temperature fields within the heart tissue were calculated during the conjugate cooling process. A linear thermoelasticity analysis was performed to assess the stresses applied on the heart due to the coolant fluid shear and normal forces and to examine the thermal stress caused by temperature variation inside the heart. It was demonstrated that a conjugate cooling effort with coolant temperature at +4°C is capable of reducing the average heart temperature from +37°C to +8°C in 25 minutes for cases in which the coolant was steadily pumped only through major heart inlet veins and cavities.


Asunto(s)
Corazón/fisiología , Simulación por Computador , Gelatina/química , Humanos , Preservación de Órganos , Programas Informáticos , Estrés Fisiológico , Temperatura , Factores de Tiempo
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