Dr. Mohamad-Reza Siadat Profile

Dr. Mohamad-Reza Siadat

Student at Oakland Univ

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Author

Publications (18)

Proceedings Article | 13 March 2017 Presentation + Paper

Frequency-based similarity detection of structures in human brain

Dave Sims, Mohammad-Reza Siadat

Proceedings Volume 10138, 1013804 (2017) https://doi.org/10.1117/12.2247085

KEYWORDS: Shape analysis, 3D modeling, Brain, Imaging informatics, Frequency modulation, 3D scanning, 3D image processing, Feature extraction, Optical spheres

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Proceedings Article | 13 September 2012 Paper

Toward real-time clamping load measurement using DSPI

Dave Sims, Mohammad-Reza Siadat, Sayed Nassar

Proceedings Volume 8494, 84940I (2012) https://doi.org/10.1117/12.918797

KEYWORDS: Image filtering, Phase shifting, Image processing, Digital filtering, Speckle pattern, Interferometry, Optical filters, Cameras, Ferroelectric materials, Signal to noise ratio

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Proceedings Article | 18 April 2012 Paper

Simulation of fMRI signals to validate dynamic causal modeling estimation

Mobin Anandwala, Mohamad-Reza Siadat, Shamil Hadi

Proceedings Volume 8317, 831702 (2012) https://doi.org/10.1117/12.911072

KEYWORDS: Brain, Data modeling, Functional magnetic resonance imaging, Blood, Cognitive modeling, Hemodynamics, Analytical research, Statistical analysis, Imaging systems, Systems modeling

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Proceedings Article | 16 April 2012 Paper

Comparison between subjects with long- and short-allele carriers in the BOLD signal within amygdala during emotional tasks

Shamil Hadi, Mohamad Siadat, Abbas Babajani-Feremi

Proceedings Volume 8317, 83171Q (2012) https://doi.org/10.1117/12.905189

KEYWORDS: Amygdala, Functional magnetic resonance imaging, Sensors, Brain, Blood, Oxygen, Solids, Signal to noise ratio, Hemodynamics, Modulation

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Proceedings Article | 13 April 2012 Paper

Negative BOLD response and serotonin concentration within rostral subgenual portion of the anterior cingulate cortex for long-allele carriers during perceptual processing of emotional tasks

Shamil Hadi, Mohamad Siadat, Abbas Babajani-Feremi

Proceedings Volume 8317, 83170A (2012) https://doi.org/10.1117/12.905188

KEYWORDS: Amygdala, Functional magnetic resonance imaging, Sensors, Signal processing, Hemodynamics, Neurotransmitters, Solids, Brain, Signal to noise ratio, Data acquisition

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Proceedings Article | 3 March 2010 Paper

Stereo digital image correlation for characterization of fresh biomaterials

Megan Bland, Marisol Cortes, Kristin Solt, Mohammad Siadat, Lianxiang Yang

Proceedings Volume 7548, 754847 (2010) https://doi.org/10.1117/12.839881

KEYWORDS: Bone, Digital image correlation, 3D metrology, Cameras, Speckle pattern, Calibration, Imaging systems, Interferometry, In vivo imaging, Biomedical engineering

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Proceedings Article | 13 March 2009 Paper

DTI data modeling for unlimited query support

Mohammad-Reza Siadat, Rafat Hammad, Anil Shetty, Hamid Soltanian-Zadeh, Ishwar Sethi, Ameen Eetemadi, Kost Elisevich

Proceedings Volume 7264, 726415 (2009) https://doi.org/10.1117/12.813748

KEYWORDS: Data modeling, Databases, Diffusion tensor imaging, Image segmentation, Brain, Medical imaging, Neuroimaging, Data fusion, Feature extraction, Image registration

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SPIE Journal Paper | 1 October 2007

Partial volume and distribution estimation from multispectral images using continuous representations

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh

JEI, Vol. 16, Issue 04, 043001, (October 2007) https://doi.org/10.1117/12.10.1117/1.2731782

KEYWORDS: Signal to noise ratio, Magnetic resonance imaging, Brain, Optical spheres, Data modeling, 3D modeling, Network on a chip, Visual process modeling, Visualization, Image analysis

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Proceedings Article | 10 March 2006 Paper

Subdural and depth electrode placement in the brain for validation of MEG in partial epilepsy

Mohammad-Reza Siadat, Kost Elisevich, Hamid Soltanian-Zadeh, Kourosh Jafari-Khouzani, Susan Bowyer

Proceedings Volume 6141, 61412A (2006) https://doi.org/10.1117/12.657012

KEYWORDS: Electrodes, Magnetic resonance imaging, Magnetoencephalography, 3D modeling, Brain, Epilepsy, Computed tomography, 3D image processing, Neuroimaging, Data modeling

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Proceedings Article | 12 April 2005 Paper

Using MPEG-7 to build a human brain image database for image-guided neurosurgery

Manjeet Rege, Ming Dong, Farshad Fotouhi, Mohammad-Reza Siadat, Lucia Zamorano

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.594638

KEYWORDS: Brain, Neuroimaging, Databases, Medical imaging, Image storage, Image segmentation, Data modeling, Tumors, Magnetic resonance imaging, Image retrieval

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Proceedings Article | 12 May 2004 Paper

Bayesian landmark identification in medical images

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost Elisevich

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535754

KEYWORDS: Statistical analysis, Brain, Image segmentation, Magnetic resonance imaging, Binary data, Medical imaging, Data modeling, Statistical modeling, 3D modeling, Image registration

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This paper presents a generic and unified method to identify a set of anatomical landmarks of interest within the medical image domains. Landmark identification is important as it provides us with: 1) initial information for registration, 2) navigation and retrieval guidance through the image data, 3) initial models for segmentation, and 4) valuable (though rough) information about the organs/structures of interest. The proposed method initially uses a supervised learning procedure and then improves itself based on the Bayes’ theory. The procedure at the first step requires an expert to define a rough roadmap passing through a set of high-contrast landmarks (milestones), and eventually reaching at the structure of interest. The expert is asked to mark the milestones as desired points and a few points around them as undesired points, respectively. Then we estimate Gaussian models for the marked points by which the optimal search area for each desired landmark is determined. The search areas estimated at this step are considered as the segments of the statistical roadmap. An additional set of statistical models along with the above ones are used to form a set of rules to evaluate the points being found during the search procedure. The points that satisfy the rules will be recognized as the landmarks of interest. As the above method is being applied on a set of new patients/cases, a set of valid landmarks of interests becomes available. This new piece of information is then being used to modify the current statistical roadmap based on the Bayes' theory. We have applied the proposed method on T1-weighted brain MRI of 10 epileptic patients to find the landmarks of the hippocampus. In our experiment, six patients formed the training set, and we observed one-step iteration of the Bayesian modification. The method made no false alarms. The overall success rate (average of sensitivity and specificity) of the algorithm was 83.3% with an accuracy of 99.2%. In localizing the hippocampus, the proposed method (with almost perfect results) was 600 times faster than the mutual information registration (with poor and partly wrong results).

Proceedings Article | 12 May 2004 Paper

ROC-based determination of the number of clusters for fMRI activation detection

Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam Hossein-Zadeh, Mohammad-Reza Siadat

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535691

KEYWORDS: Functional magnetic resonance imaging, Brain, Statistical analysis, Computer simulations, Hemodynamics, Data modeling, Receivers, Brain mapping, Statistical modeling, Shape memory alloys

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Proceedings Article | 19 May 2003 Paper

Multimodality medical image database for temporal lobe epilepsy

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost Elisevich

Proceedings Volume 5033, (2003) https://doi.org/10.1117/12.481936

KEYWORDS: Image segmentation, Databases, 3D modeling, Brain, Data modeling, Feature extraction, Epilepsy, Medical imaging, Magnetic resonance imaging, Visualization

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Proceedings Article | 2 May 2003 Paper

Texture analysis of hippocampus for epilepsy

Kourosh Jafari-Khouzani, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Kost Elisevich

Proceedings Volume 5031, (2003) https://doi.org/10.1117/12.480697

KEYWORDS: Wavelets, Image segmentation, Epilepsy, Transform theory, Magnetic resonance imaging, Electroencephalography, Wavelet transforms, 3D modeling, Surgery, Brain

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Proceedings Article | 10 January 2003 Paper

Multimedia human brain database system for surgical candidacy determination in temporal lobe epilepsy with content-based image retrieval

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost Elisevich

Proceedings Volume 5021, (2003) https://doi.org/10.1117/12.476296

KEYWORDS: Image segmentation, Databases, 3D modeling, Brain, Data modeling, Feature extraction, Epilepsy, Magnetic resonance imaging, Neuroimaging, Visualization

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Proceedings Article | 3 July 2001 Paper

Partial volume estimation using continuous representations

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430976

KEYWORDS: Magnetic resonance imaging, 3D modeling, Visualization, Optical spheres, Brain, 3D image processing, Convolution, Neuroimaging, Medical imaging, 3D scanning

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Proceedings Article | 6 June 2000 Paper

Partial volume estimation: an improvement for eigenimage method

Mohammad-Reza Siadat, Hamid Soltanian-Zadeh

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387726

KEYWORDS: Magnetic resonance imaging, Brain, Statistical analysis, Optical spheres, 3D modeling, Medical imaging, Visualization, 3D image processing, Error analysis, Neuroimaging

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Proceedings Article | 21 May 1999 Paper

Knowledge-based localization of hippocampus in human brain MRI

Hamid Soltanian-Zadeh, Mohammad-Reza Siadat

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348569

KEYWORDS: Brain, Magnetic resonance imaging, Binary data, Image segmentation, Neuroimaging, Epilepsy, Image analysis, 3D modeling, Algorithm development, Software development

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Showing 5 of 18 publications

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