Spectral decomposition for resolving partial volume effects in MRSI

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Quantification of partial volume effects in planar imaging

Introduction: The limited resolution of the imaging system causes partial volume effects (PVEs). These results in spreading of image counts to the neighboring pixels. This phenomenon is called spill-out effect. This study aimed at quantifying PVEs using ImageJ. Methods:Technetium-99m solution of concentration of 74 kBq/ml was filled into spheres A, B<...

متن کامل

The Role of MRSI in Target Volume Definition for Radiation Therapy of Prostate Cancer

Introduction: Recently, magnetic resonance spectroscopic imaging (MRSI), as a functional imaging method, has been used for clinical target volume definition. In this study, we used this method to define the target volume in prostate radiotherapy. Material and Method: In this study, we used images of 20 prostate cancer cases. MRSI and MRI images were fused with CT images. Then, treatment plannin...

متن کامل

Spectrum separation resolves partial-volume effect of MRSI as demonstrated on brain tumor scans.

Magnetic resonance spectroscopic imaging (MRSI) is currently used clinically in conjunction with anatomical MRI to assess the presence and extent of brain tumors and to evaluate treatment response. Unfortunately, the clinical utility of MRSI is limited by significant variability of in vivo spectra. Spectral profiles show increased variability because of partial coverage of large voxel volumes, ...

متن کامل

A Sparse Spectral Deconvolution Algorithm for Non-cartesian Mrsi

Purpose: To minimize line shape distortions and spectral leakage artifacts in MR spectroscopic imaging. Methods: A spatially and spectrally regularized non-Cartesian MRSI algorithm that uses the line shape distortion priors, estimated from water reference data, to deconvolve the spectra is introduced. Sparse spectral regularization is used to minimize noise amplification associated with deconvo...

متن کامل

Optimized Outer Volume Suppression for Slice Selective MRSI

A. Henning, M. Schär, R. F. Schulte, K. P. Pruessmann, P. Boesiger Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Kanton Zurich, Switzerland, John Hopkins University, Baltimore, MD, United States Introduction In spite of significantly improved saturation pulses [1,2] sufficient outer volume (OVS) and especially fat suppression in MRSI could only be achieved in combinat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Magnetic Resonance in Medicine

سال: 2017

ISSN: 0740-3194

DOI: 10.1002/mrm.26991