Image intensity correction in surface-coilMRimaging
نویسندگان
چکیده
منابع مشابه
Improved Intensity Inhomogeneity Correction Techniques in MR Brain Image Segmentation
Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for MR image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedded into clustering algorithms. This paper proposes a pre-filtering technique for Gaussian and impulse noise elimination, and a s...
متن کاملCorrection of Intensity In-Homogeneity of MR Image Based on Average Median Intensity Value Method
The Magnetic Resonance Image (MRI) may be valuable techniques for learning the structural property of the human brain. However, the reproducibility of imaging results, that arises from swish intensity variation happens the entirety MR image, named as Intensity in-homogeneity or nonuniformity. The intensity in-homogeneity may be a hurdles encountered in human and computer interpretations and ana...
متن کاملThree-dimensional surface profile intensity correction for spatially modulated imaging.
We describe a noncontact profile correction technique for quantitative, wide-field optical measurement of tissue absorption (microa) and reduced scattering (micros) coefficients, based on geometric correction of the sample's Lambertian (diffuse) reflectance intensity. Because the projection of structured light onto an object is the basis for both phase-shifting profilometry and modulated imagin...
متن کاملA Review on MR Image Intensity Inhomogeneity Correction
Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-frequency models are widely used, but they tend to corrupt the low-frequency components of the tissue. Hypersurface models and statistical models can b...
متن کاملBayesian Correction of Image Intensity with Spatial Consideration
Under dimly lit condition, it is difficult to take a satisfactory image in long exposure time with a hand-held camera. Despite the use of a tripod, moving objects in the scene still generate ghosting and blurring effect. In this paper, we propose a novel approach to recover a high-quality image by exploiting the tradeoff between exposure time and motion blur, which considers color statistics an...
متن کاملذخیره 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: Japanese Journal of Radiological Technology
سال: 1995
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.kj00001353542