Hamid Soltanian-Zadeh

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Karl J. Friston87
Kost V. Elisevich46
Joe P. Windham40
Ron Kikinis38
Kourosh Jafari-Khouzani38
45Kost V. Elisevich
42Gholam-Ali Hossein-Zadeh
42Kourosh Jafari-Khouzani
36Abbas Babajani-Feremi
32Michael Chopp

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Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms
A new rotation-invariant texture-analysis technique using Radon and wavelet transforms is proposed. This technique utilizes the Radon transform to convert the rotation to translation and then applies a translation-invariant wavelet transform to the result to extract texture features. A k-nearest neighbors classifier is employed to classify texture patterns.… (More)
An image analysis approach for automatic malignancy determination of prostate pathological images.
BACKGROUND Determining malignancy of prostate pathological samples is important for treatment planning of prostate cancer. Traditionally, this is performed by expert pathologists who evaluate the structure of prostate glands in the biopsy samples. However, this is a subjective task due to inter- and intra-observer differences among pathologists. Also, it is… (More)
A model for multiparametric mri tissue characterization in experimental cerebral ischemia with histological validation in rat: part 1.
BACKGROUND AND PURPOSE After stroke, brain tissue undergoes time-dependent heterogeneous histopathological change. These tissue alterations have MRI characteristics that allow segmentation of ischemic from nonischemic tissue. Moreover, MRI segmentation generates different zones within the lesion that may reflect heterogeneity of tissue damage. METHODS A… (More)
Integrated MEG/EEG and fMRI model based on neural masses
We introduce a bottom-up model for integrating electroencephalography (EEG) or magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An extended neural mass model is proposed based on the physiological principles of cortical minicolumns and their connections. The fMRI signal is extracted from the proposed neural mass model by… (More)
A 3D deformable surface model for segmentation of objects from volumetric data in medical images.
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 external forces. Internal forces are obtained from local geometry of the model and are related to the local… (More)
Multiwavelet grading of pathological images of prostate
Histological grading of pathological images is used to determine level of malignancy of cancerous tissues. This is a very important task in prostate cancer prognosis, since it is used for treatment planning. If infection of cancer is not rejected by non-invasive diagnostic techniques like magnetic resonance imaging, computed tomography scan, and ultrasound,… (More)
Multiparametric MRI tissue characterization in clinical stroke with correlation to clinical outcome: part 2.
BACKGROUND AND PURPOSE Multiparametric MRI generates different zones within the lesion that may reflect heterogeneity of tissue damage in cerebral ischemia. This study presents the application of a novel model of tissue characterization based on an angular separation between tissues obtained with the use of an objective (unsupervised) computer segmentation… (More)
Hippocampal volumetry for lateralization of temporal lobe epilepsy: automated versus manual methods.
The hippocampus has been the primary region of interest in the preoperative imaging investigations of mesial temporal lobe epilepsy (mTLE). Hippocampal imaging and electroencephalographic features may be sufficient in several cases to declare the epileptogenic focus. In particular, hippocampal atrophy, as appreciated on T1-weighted (T1W) magnetic resonance… (More)
Registration and warping of magnetic resonance images to histological sections.
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 automated warping approach using nonlinear thin plate splines to compensate for distortions between the data sets.… (More)