Showing papers in "Magnetic Resonance Imaging in 2012"

TL;DR: An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated.

TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.

TL;DR: Wild bootstrap analysis detected significantly changed WM in a single concussed athlete and efforts to understand the significance of these WM changes and their relationship to head impact forces appear warranted.

TL;DR: Simulation results on phantom and in vivo data indicate that the proposed patch-based directional wavelets method outperforms conventional compressed sensing MRI methods in preserving the edges and suppressing the noise.

TL;DR: Evaluation results showed that covarying out both global nuisances significantly improved temporal SNR and test-retest stability of CBF measurement, which clearly showed the benefits for ASL CBF quantification.

TL;DR: Clinical developments in MRI-guided dose painting are described and issues must be addressed when these techniques are applied in radiation therapy: scanning in treatment position requires alternative solutions to the standard patient setup in the choice of receive coils compared to a diagnostic department.

TL;DR: The proposed method content-based active contours (CBAC) uses both intensity and texture information present within the active contour to overcome above-stated problems capturing large range in an image.

TL;DR: Significant changes in functional connectivity related with the abnormal regions in MCI patients following acupuncture are found and the heterogeneous modulatory patterns between DA and SA may suggest that deep muscle insertion of acupuncture is necessary to achieve the appreciable clinical effect.

TL;DR: The authors observed non-Gaussian diffusion behavior for HCCs ex vivo; this DKI model may have added value in HCC characterization in comparison with a standard monoexponential model of diffusion-weighted imaging.

TL;DR: Results indicate that mouse brain MRE is feasible at 3.0T, and brain shear stiffness has merit for further investigation as a potential new biomarker for Alzheimer's disease.

TL;DR: The use of a range of quantitative imaging modalities in specific tumor types including malignant gliomas, lung cancer, head and neck cancer, lymphoma, breast cancer, prostate cancer and sarcoma are described.

TL;DR: This review focuses on the application of dynamic PET Imaging to measuring regional cancer biologic features and especially in using dynamic PET imaging for quantitative therapeutic response monitoring for cancer clinical trials.

TL;DR: A methodology to aid applicator placement and treatment planning for 3 Tesla (3-T) MR-guided brachytherapy that was developed specifically for gynecologic cancers and has been used in 18 cases from September 2011 to May 2012 is described.

TL;DR: While there was no substantial difference in diagnostic test accuracy between MRIs reviewed by general radiologists and those reviewed by musculoskeletal radiologists, higher-field-strength MRI systems provided the greatest diagnosticTest accuracy.

TL;DR: The relative advantages and disadvantages afforded by PET-MRI are considered and a compelling case could be made if the combination of quantitative MRI and specific PET biomarkers significantly improves the authors' ability to assess tumor status and response to therapy.

TL;DR: Findings support the premise that alterations of the DMN occur in aMCI and may indicate deficiencies in functional, intrinsic brain architecture that correlate with memory function, even before significant MTL atrophy is detectable by structural MRI.

TL;DR: A strong and significant correlation detected between the urea and HP001 data confirmed the value of copolarizing urea with pyruvate for simultaneous assessment of perfusion and metabolism.

TL;DR: A method to denoise multiple-coil acquired MR images using the non central-χ distribution and the spatially varying nature of the noise is taken into account in the proposed method.

TL;DR: Experimental results demonstrate that the FKSRG method segments multispectral MR images much more effectively than the Functional MRI of the Brain Automated Segmentation Tool, K-means and Support Vector Machine methods.

TL;DR: Quantitative analyses of the DCE time-course data provided higher breast cancer diagnostic accuracy than the current clinical practice of morphology and qualitative kinetics assessments and accurate pharmacokinetic analysis.

TL;DR: Voxel- and atlas-based analysis of DTI might suggest that patients with MTBI have focal axonal injury and that the pathophysiology is significantly different from that of DAI.

TL;DR: Roles of image registration and segmentation model complexity in the atlas-based automatic mouse brain segmentation are investigated and it is concluded that multiple atlases with LDDMM can best improve the segmentation accuracy in the mouse brain among all segmentation models tested in this study.

TL;DR: Adding DWI to conventional imaging modalities improves the diagnosis of small HCCs in the cirrhotic liver in terms of diagnostic performance and sensitivity by increasing reader confidence.

TL;DR: The sensitivity of DCE pharmacokinetic parameters to precontrast T( 1) values is demonstrated and methods to improve the accuracy of T(1) mapping with flip angle-corrected VFA SPGR methods are examined.

TL;DR: Although a more complex model might provide a better fitting when multiple b- values are used, the monoexponential analyses for ADC calculation in prostate MRI is sufficient to discriminate prostate cancer from normal tissue using b-values ranging from 0 to 800 s/mm(2).

TL;DR: The results support the potential of using functional magnetic resonance imaging as an imaging biomarker or diagnostic tool to discriminate individuals with disease or high risk.

TL;DR: 4D dMRA offers hemodynamic information with a temporal resolution of 50-100 ms for the evaluation of AVMs and can complement existing methods such as DSA and time-of-flight (TOF) MRA.

TL;DR: The results from the proposed CaLM MRI method are comparable (at least for the data used in this work) with the best results that can be obtained from state-of-the-art methods.

TL;DR: Signal-to-noise ratio (SNR) per unit time was analyzed considering both the amplitude-loss effect induced by the T(2) decay and the SNR gain from the long acquisition duration based on MR sampling theory.

TL;DR: In the proposed method, the presence of WM lesions is detected as outliers in the intensity distribution of the fluid-attenuated inversion recovery (FLAIR) MR images using an adaptive outlier detection approach.