Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Joe P. Windham"'
Autor:
Zhang G. Zheng, Robert A. Knight, Donald J. Peck, Michael Chopp, Joe P. Windham, Anton Goussev, Michael A. Jacobs, Hamid Soltanian-Zadeh
Publikováno v:
Journal of Magnetic Resonance Imaging. 11:425-437
This study presents histological validation of an objective (unsupervised) computer segmentation algorithm, the iterative self-organizing data analysis technique (ISODATA), for analysis of multiparameter magnetic resonance imaging (MRI) data in exper
Publikováno v:
Medical Physics. 26:1568-1578
We present a method for coregistration and warping of magnetic resonance images (MRI) to histological sections for comparison purposes. This methodology consists of a modified head and hat surface-based registration algorithm followed by a new automa
Autor:
Robert A. Knight, Anton Goussev, Michael Chopp, Zheng G Zhang, Joe P. Windham, Hamid Soltanian-Zadeh, Donald J. Peck, Michael A. Jacobs
Publikováno v:
Brain Research. 837:83-94
An accurate noninvasive time-independent identification of an ischemic cerebral lesion is an important objective of magnetic resonance imaging (MRI). This study describes a novel application of a multiparameter MRI analysis algorithm, the Eigenimage
Publikováno v:
NMR in Biomedicine. 11:201-208
A major problem in tumor treatment planning and evaluation is determination of the tumor extent. Thispaper presents a pattern analysis methodology for segmentation and characterization of brain tumors frommultispectral NMR images. The proposed approa
Publikováno v:
Computers in Biology and Medicine. 28:239-253
In this paper we present a new 3D discrete dynamic surface model. The model consists of vertices and edges, which connect adjacent vertices. Basic geometry of the model surface is generated by triangle patches. The model deforms by internal and exter
Autor:
Joe P. Windham, Linda L. Emery, Donald J. Peck, Hamid Soltanian-Zadeh, Tom Mikkelsen, David Hearshen
Publikováno v:
Medical Physics. 23:2035-2042
Volume determination in cerebral tumors requires accurate and reproducible segmentation. This task has been traditionally accomplished using planimetric methods which define the boundary of the lesion using thresholding and edge detection schemes. Th
Autor:
Edwin M. Monsell, C. W. Newman, Henry G. Bone Iii, Gary P. Jacobson, George Divine, Dianna Cody, S. C. Patel, Joe P. Windham
Publikováno v:
Hearing Research. 83:114-120
We have developed a unique method of quantitative computed tomography (QCT) that enables measurement of the density of the cochlear capsule in vivo. We performed pure-tone audiometry and QCT on 67 ears from 35 subjects with radiographically confirmed
Publikováno v:
IEEE Transactions on Image Processing. 4:147-161
The paper presents a multidimensional nonlinear edge-preserving filter for restoration and enhancement of magnetic resonance images (MRI). The filter uses both interframe (parametric or temporal) and intraframe (spatial) information to filter the add
Publikováno v:
IEEE Transactions on Medical Imaging. 13:161-175
The eigenimage filter generates a composite image in which a desired feature is segmented from interfering features. The signal-to-noise ratio (SNR) of the eigenimage equals its contrast-to-noise ratio (CNR) and is directly proportional to the dissim
Publikováno v:
Medical Physics. 21:277-285
Efforts to minimize the effects of partial volume contamination (PVC) in in vivo magnetic resonance spectroscopy (MRS) have focused upon improving the sensitivity and efficiency of spatially localized MRS measurements. Such improvements may improve s