Dr. Mustafa C. Altunbas Profile

Dr. Mustafa C. Altunbas

Postdoctoral Fellow at Univ of Texas MD Anderson Cancer Ctr

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Publications (10)

Proceedings Article | 2 March 2006 Paper

Effects of radiation dose level on calcification visibility in cone beam breast CT: a preliminary study

Chao-Jen Lai, Chris Shaw, Mustafa Altunbas, Yang Meng, Lingyun Chen, Shu-Ju Tu, Tianpeng Wang, Xinming Liu, Wei Yang, Gary Whitman

Proceedings Volume 6142, 614233 (2006) https://doi.org/10.1117/12.656471

KEYWORDS: Breast, Mammography, X-rays, Radiation effects, Sensors, Imaging systems, Tissues, Breast cancer, X-ray imaging, Breast imaging

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Proceedings Article | 2 March 2006 Paper

An accurate scatter measurement and correction technique for cone beam breast CT imaging using scanning sampled measurement (SSM)technique

Xinming Liu, Chris Shaw, Tianpeng Wang, Lingyun Chen, Mustafa Altunbas, S. Cheenu Kappadath

Proceedings Volume 6142, 614234 (2006) https://doi.org/10.1117/12.656655

KEYWORDS: X-ray computed tomography, Lead, Breast, Scatter measurement, Sensors, Mammography, X-rays, Statistical analysis, Radiation effects, Image acquisition

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Proceedings Article | 2 March 2006 Paper

Effects of scattered radiation and beam quality on low contrast performance in cone beam breast CT

M. Cem Altunbas, Chris Shaw, Lingyun Chen, Tianpeng Wang, Shuju Tu

Proceedings Volume 6142, 614236 (2006) https://doi.org/10.1117/12.655745

KEYWORDS: Radiation effects, Tissues, X-rays, Sensors, Breast, Signal detection, Ions, X-ray computed tomography, X-ray detectors, Signal attenuation

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Proceedings Article | 2 March 2006 Paper

Comparison of full-scan and half-scan for cone beam breast CT imaging

Lingyun Chen, Chris Shaw, Chao-jen Lai, Mustafa Altunbas, Tianpeng Wang, Shu-ju Tu, Xinming Liu

Proceedings Volume 6142, 61424M (2006) https://doi.org/10.1117/12.648670

KEYWORDS: Reconstruction algorithms, Breast, X-ray computed tomography, Image quality, Fluctuations and noise, Computed tomography, Sensors, Tissues, Mammography, Breast imaging

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Proceedings Article | 2 March 2006 Paper

Comparison of two detector systems for cone beam CT small animal imaging: a preliminary study

Yang Meng, Chris Shaw, Xinming Liu, Mustafa Altunbas, Tianpeng Wang, Lingyun Chen, Shu-Ju Tu, S. Cheeenu Kappadath, Chao-Jen Lai

Proceedings Volume 6142, 614245 (2006) https://doi.org/10.1117/12.656690

KEYWORDS: Imaging systems, Charge-coupled devices, X-ray computed tomography, Sensors, X-rays, X-ray detectors, Preclinical imaging, CCD image sensors, CCD cameras, X-ray imaging

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Proceedings Article | 20 April 2005 Paper

Scanning equalization digital radiography (SEDR): effects of exposure equalization on image processing

Mustafa Altunbas, Chris Shaw, Xinming Liu

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.597201

KEYWORDS: Image processing, Image enhancement, Signal to noise ratio, Image segmentation, Radiography, Image filtering, Digital imaging, Skin, X-rays, Lung

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Proceedings Article | 20 April 2005 Paper

Scan equalization digital radiography (SEDR): implementation with a flat-panel detector

Xinming Liu, Chris Shaw, Mustafa Altunbas, Tianpeng Wang

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.597217

KEYWORDS: Sensors, Fluctuations and noise, Radiography, X-rays, Radiation effects, Signal detection, Imaging systems, Chest, Signal to noise ratio, Image quality

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Proceedings Article | 20 April 2005 Paper

Cone-beam CT breast imaging with a flat panel detector: a simulation study

Lingyun Chen, Chris Shaw, Shu-Ju Tu, Mustafa Altunbas, Tianpeng Wang, Chao-Jen Lai, Xinming Liu, S. Kappadath

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.597065

KEYWORDS: Breast, Sensors, Tissues, X-ray computed tomography, X-ray detectors, X-rays, Breast imaging, Imaging systems, Image filtering, X-ray imaging

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This paper investigates the feasibility of using a flat panel based cone-beam computer tomography (CT) system for 3-D breast imaging with computer simulation and imaging experiments. In our simulation study, 3-D phantoms were analytically modeled to simulate a breast loosely compressed into cylindrical shape with embedded soft tissue masses and calcifications. Attenuation coefficients were estimated to represent various types of breast tissue, soft tissue masses and calcifications to generate realistic image signal and contrast. Projection images were computed to incorporate x-ray attenuation, geometric magnification, x-ray detection, detector blurring, image pixelization and digitization. Based on the two-views mammography comparable dose level on the central axis of the phantom (also the rotation axis), x-ray kVp/filtration, transmittance through the phantom, detected quantum efficiency (DQE), exposure level, and imaging geometry, the photon fluence was estimated and used to estimate the phantom noise level on a pixel-by-pixel basis. This estimated noise level was then used with the random number generator to produce and add a fluctuation component to the noiseless transmitted image signal. The noise carrying projection images were then convolved with a Gaussian-like kernel, computed from measured 1-D line spread function (LSF) to simulated detector blurring. Additional 2-D Gaussian-like kernel is designed to suppress the noise fluctuation that inherently originates from projection images so that the reconstructed image detectability of low contrast masses phantom can be improved. Image reconstruction was performed using the Feldkamp algorithm. All simulations were performed on a 24 PC (2.4 GHz Dual-Xeon CPU) cluster with MPI parallel programming. With 600 mrads mean glandular dose (MGD) at the phantom center, soft tissue masses as small as 1 mm in diameter can be detected in a 10 cm diameter 50% glandular 50% adipose or fatter breast tissue, and 2 mm or larger masses are visible in a 100% glandular 0% adipose breast tissue. We also found that the 0.15 mm calcification can be detected for 100μm detector while only 0.2 μm or above are visible for 200 μm detector. Our simulation study has shown that the cone-beam CT breast imaging can provide reasonable good quality and detectability at a dose level similar to that of two views\mammography. For imaging experiments, a stationary x-ray source and detector, a step motor driven rotating phantom system was constructed to demonstrate cone beam breast CT image. A breast specimen from mastectomy and animal tissue embedded with calcifications were imaged. The resulting images show that 355-425 μm calcifications were visible in images obtained at 77 kVp with a voxel size of 316 μm and a center dose of 600 mrads. 300-315 μm calcifications were visible in images obtained at 60 kVp with a voxel size of 158 μm and a center dose of 3.6 rads.

Proceedings Article | 6 May 2004 Paper

Slot scanning versus antiscatter grid in digital mammography: comparison of low-contrast performance using contrast-detail measurement

Chao-Jen Lai, Chris Shaw, William Geiser, Srinivas Kappadath, Xinming Liu, TianPeng Wang, Shu-Ju Tu, Mustafa Altunbas

Proceedings Volume 5368, (2004) https://doi.org/10.1117/12.535986

KEYWORDS: Digital mammography, Imaging systems, X-rays, Image quality, Sensors, Mammography, Image processing, Charge-coupled devices, X-ray imaging, Manufacturing

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Proceedings Article | 5 June 2003 Paper

Photon-counting energy-sensitive micropattern gas detector for digital radiography

Mustafa Altunbas, Eugene Barasch, Daniel Bednarek, Stephen Rudin

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480001

KEYWORDS: Sensors, X-rays, Luminescence, Modulation transfer functions, Krypton, Xenon, Absorption, Stochastic processes, Signal detection, Signal processing

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Showing 5 of 10 publications

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