Results 211 to 220 of about 26,290 (260)

Transformer Enabled Half Z‑spectrum Sampling B₀ Inhomogeneity Correction for GluCEST and NOE MRI. [PDF]

Chem Biomed Imaging
Li Y, Jacobs PS, Kumar D, Swain A, Wilson N, Detre J, Reddy R, Wang Z.   +7 more
europepmc   +1 more source

Prediction of regional lymph node metastasis in rectal cancer: a novel model based on transrectal contrast-enhanced ultrasound. [PDF]

Discov Oncol
Huang Q, Zhuang H, Luo Y, Liao Z, Yang Y, Abuliezi D, Tao A.   +6 more
europepmc   +1 more source

Phase-targeting rapid cryofixation of the beating heart and histological analysis unveil contractile state-dependent sarcomere dynamics. [PDF]

Sci Rep
Tamura S, Mochizuki K, Kumamoto Y, Morishita Y, Yamanaka M, Ho WJ, Harada Y, Fujita K, Tanaka H.   +8 more
europepmc   +1 more source

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A Review of Methods for Correction of Intensity Inhomogeneity in MRI

IEEE Transactions on Medical Imaging, 2007
Medical image acquisition devices provide a vast amount of anatomical and functional information, which facilitate and improve diagnosis and patient treatment, especially when supported by modern quantitative image analysis methods. However, modality specific image artifacts, such as the phenomena of intensity inhomogeneity in magnetic resonance images
Uros Vovk, Franjo Pernus, Bostjan Likar
exaly   +3 more sources

A Level Set Approach to Image Segmentation With Intensity Inhomogeneity

IEEE Transactions on Cybernetics, 2016
It is often a difficult task to accurately segment images with intensity inhomogeneity, because most of representative algorithms are region-based that depend on intensity homogeneity of the interested object. In this paper, we present a novel level set method for image segmentation in the presence of intensity inhomogeneity.
Kenneth Lam, Kaihua Zhang
exaly   +3 more sources

Retrospective correction of intensity inhomogeneities in MRI

IEEE Transactions on Medical Imaging, 1995
Medical imaging data sets are often corrupted by multiplicative inhomogeneities, often referred to as nonuniformities or intensity variations, that hamper the use of quantitative analyses. The authors describe an automatic technique that not only improves the worst situations, such as those encountered with magnetic resonance imaging (MRI) surface ...
Charles R. Meyer, Peyton H. Bland, James G. Pipe   +2 more
openaire   +2 more sources

Segmentation of MR images with intensity inhomogeneities

Image and Vision Computing, 1998
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be multiplicative low-frequency variations of intensities that are due to the anomalies of the magnetic fields of the scanners.
Rajapakse, J., Kruggel, F.
openaire   +2 more sources

Parametric estimate of intensity inhomogeneities applied to MRI

IEEE Transactions on Medical Imaging, 2000
This paper presents a new approach to the correction of intensity inhomogeneities in magnetic resonance imaging (MRI) that significantly improves intensity-based tissue segmentation. The distortion of the image brightness values by a low-frequency bias field impedes visual inspection and segmentation.
Martin Styner, Christian Brechbühler, Gábor Székely, Guido Gerig   +3 more
openaire   +2 more sources