Ms. Mahsa Torkaman Profile

Mahsa Torkaman

Postdoctoral researcher

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Author

Publications (5)

Proceedings Article | 15 February 2021 Presentation + Paper

Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging

Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward Miller, Albert Sinusas, Chi Liu, Grant Gullberg, Youngho Seo

Proceedings Volume 11600, 116000U (2021) https://doi.org/10.1117/12.2580922

KEYWORDS: Single photon emission computed tomography, Signal attenuation, Error analysis, Statistical analysis, Signal to noise ratio, Scanners, Quantitative analysis, Gallium nitride, Angiography

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Proceedings Article | 6 July 2018 Paper

Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques

Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle Myers

Proceedings Volume 10718, 107180L (2018) https://doi.org/10.1117/12.2318394

KEYWORDS: Breast, Ultrasonography, Digital breast tomosynthesis, Mammography, Motion measurement, Speckle, Image quality, Motion analysis

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Proceedings Article | 2 March 2018 Paper

Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach

Mahsa Torkaman, Romeil Sandhu, Allen Tannenbaum

Proceedings Volume 10574, 105742Y (2018) https://doi.org/10.1117/12.2292654

KEYWORDS: Image segmentation, Ultrasonography, Breast, Breast cancer, Probability theory, Image processing algorithms and systems, Mammography, CAD systems

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Proceedings Article | 9 March 2017 Paper

Estimating 3D local noise power spectrum from a few FDK-reconstructed cone-beam CT scans

Rongping Zeng, Mahsa Torkaman, Kyle Myers

Proceedings Volume 10132, 101322D (2017) https://doi.org/10.1117/12.2255541

KEYWORDS: Image quality, 3D metrology, X-ray computed tomography, Signal detection, Error analysis, Interference (communication), Image processing, 3D scanning, 3D image processing, Imaging systems, Computing systems

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Proceedings Article | 24 February 2017 Presentation + Paper

Sulci segmentation using geometric active contours

Mahsa Torkaman, Liangjia Zhu, Peter Karasev, Allen Tannenbaum

Proceedings Volume 10133, 101330I (2017) https://doi.org/10.1117/12.2249716

KEYWORDS: Brain, 3D modeling, Image segmentation, Cerebral cortex, Structural analysis, Commercial off the shelf technology, Statistical analysis, Denoising, Brain mapping, Magnetic resonance imaging

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