Development and validation of a smoothing-splines-based correction method for improving the analysis of CEST-MR images

2008 ◽  
Vol 3 (4) ◽  
pp. 136-149 ◽  
Author(s):  
J. Stancanello ◽  
E. Terreno ◽  
D. Delli Castelli ◽  
C. Cabella ◽  
F. Uggeri ◽  
...  
Keyword(s):  
Smoothing Splines ◽  
Correction Method ◽  
Mr Images ◽  
Development And Validation

scholarly journals Absorbance Correction Method for Simultaneous Estimation of Nifedipine and Metoprolol Succinate in Their Synthetic Mixture Using From Spectrophotometry

2015 ◽  
Vol 1 (3) ◽  
pp. 151
Author(s):  
Sojitra Rajanit ◽  
Paras Virani ◽  
Hashumati Raj
Keyword(s):  
Accurate Method ◽  
Correction Method ◽  
Synthetic Mixture ◽  
Simultaneous Estimation ◽  
Metoprolol Succinate ◽  
Absorption Correction ◽  
Ich Guidelines ◽  
Development And Validation ◽  
Tablet Dosage

A new simple, economical, precise and accurate method are described for the simultaneous determination of Nifedipine (NIF) and Metoprolol Succinate (MET) in combined tablet dosage form. The proposed method was applied for the determination of Nifedipine and Metoprolol Succinate in synthetic mixture, for determination of sampling wavelength, 10?g/ml of each of NIF and MET were scanned in 200-400 nm range and sampling wavelengths were 313nm for NIF and 275.40nm for MET are selected for development and validation of absorption correction method. For this method linearity observed in the range of 5-25?g/ml for NIF and 25-125?g/ml for MET, and in their pharmaceutical formulation with mean percentage recoveries 100.68 and 100.33, respectively. The method was validated according to ICH guidelines and can be applied for routine quality control testing.

Analytical Method Development and Validation for Telmisartan, Chlorthalidone and Amlodipine by UV- Spectroscopic Method.

2021 ◽  
pp. 6049-6054
Author(s):  
Rutuja M. Sanap ◽  
Sarika R. Wavhale ◽  
Vaibhavi V. Kunjir ◽  
Rajkumar V. Shete
Keyword(s):  
Simultaneous Determination ◽  
Analytical Method ◽  
Dosage Form ◽  
Method Development ◽  
Correction Method ◽  
Absorption Correction ◽  
Method Development And Validation ◽  
Development And Validation ◽  
Tablet Dosage

A simple, sensitive and accurate UV- spectrophotometric absorption correction method has been developed for simultaneous determination of Telmisartan, Amlodipine and Chlorthalidone in combined tablet dosage form. Analytical method development and validation plays important role in the discovery manufacture of pharmaceuticals and development. In this paper, absorption correction method is used for multi-component analysis. The wavelengths selected for the analysis were 311nm for Telmisartan, 228nm for Chlorthalidone and 253nm for Amlodipine. Beer’s law obeyed the concentration range of 2-10 µg /ml, 2-10 µg /ml and 5-25 µg/ ml for Telmisartan, Amlodipine and Chlorthalidone. Methanol is used as a solvent. The accuracy of the method was assessed by recovery studies and was found between the range of 100% to 110% for Telmisartan, 85% to 110% for Amlodipine and 85% to 105% Chlorthalidone. The % RSD value was found to be less than 2. Thus, the method was simple, precise, economic, rapid, accurate and can be successfully applied for simultaneous determination of Telmisartan, Amlodipine and Chlorthalidone in combined tablet dosage form.

scholarly journals MR-PET head motion correction based on co-registration of multi-contrast MR images

2018 ◽  
Author(s):  
Zhaolin Chen ◽  
Francesco Sforazzini ◽  
Jakub Baran ◽  
Thomas Close ◽  
N. Jon Shah ◽  
...  
Keyword(s):  
Motion Correction ◽  
Estimation Method ◽  
Correction Method ◽  
Head Motion ◽  
Mr Images ◽  
Image Sharpness ◽  
Positron Emission ◽  
Quantitative Accuracy ◽  
Slow Infusion ◽  
Pet Image Reconstruction

AbstractHead motion is a major source of image artefacts in neuroimaging studies and can lead to degradation of the quantitative accuracy of reconstructed PET images. Simultaneous Magnetic Resonance-Positron Emission Tomography (MR-PET) makes it possible to estimate head motion information from high-resolution MR images and then correct motion artefacts in PET images. In this paper, we introduce a fully automated PET motion correction method, MR-guided MAF, based on the co-registration of multi-contrast MR images. The performance of the MR-guided MAF method was evaluated using MR-PET data acquired from a cohort of ten healthy participants who received a slow infusion of fluorodeoxyglucose ([18-F]FDG). Compared with conventional methods, MR guided PET image reconstruction can reduce head motion introduced artefacts and improve the image sharpness and quantitative accuracy of PET images acquired using simultaneous MR-PET scanners. The fully automated motion estimation method has been implemented as a publicly available web-service.

ADAPTIVE SEGMENTATION OF MEDICAL MR IMAGES BASED ON BIAS CORRECTION

2011 ◽  
Vol 11 (04) ◽  
pp. 813-826
Author(s):  
ZENGLIANG FU ◽  
YONGLIN SU ◽  
MING YE ◽  
YANPING LIN ◽  
CHENGTAO WANG
Keyword(s):  
Bias Correction ◽  
Bias Field ◽  
Correction Method ◽  
Initial Contour ◽  
Adaptive Segmentation ◽  
Mr Images ◽  
Object Boundary ◽  
Correct Position ◽  
Two Phase ◽  
Segmentation Accuracy

A two-phase model is introduced to extract clinically useful information from medical MR images. In the preprocessing phase, a refined bias correction method is adopted to reduce the influence of intensity inhomogeneity by removing the bias field, which paves the way for improving the subsequent segmentation accuracy. During image segmentation process, a novel adaptive level set technique is designed to capture the boundary of desired region. By virtue of adaptive driving term, the external force automatically changes its propagating direction when evolving curve goes through object boundary, which effectively prevents the final results deviating from correct position. Moreover, insensitivity to initial contour also enables its automatic applications. Experiments on synthetic and real MR images demonstrate the feasibility and robustness of the proposed method.

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