Dr. Andrew Karellas
Professor, Medical Imaging
SPIE Involvement:
Author | Instructor
Publications (16)

Proceedings Article | 18 October 2022 Open Access Paper
Proceedings Volume 12304, 123040Q (2022) https://doi.org/10.1117/12.2646683
KEYWORDS: Breast, Tissues, X-ray sources, X-ray computed tomography, Mathematical modeling, X-rays, Monte Carlo methods

Proceedings Article | 14 September 2017 Paper
Proceedings Volume 10393, 103930M (2017) https://doi.org/10.1117/12.2279225
KEYWORDS: Scintillators, Breast, Computed tomography, Breast cancer, Sensors, Performance modeling, X-ray detectors

Proceedings Article | 7 September 2017 Paper
Proceedings Volume 10393, 103930R (2017) https://doi.org/10.1117/12.2279351
KEYWORDS: Imaging systems, Computed tomography, X-ray fluorescence spectroscopy, X-ray computed tomography

SPIE Journal Paper | 27 September 2016 Open Access
JBO, Vol. 21, Issue 09, 091316, (September 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.9.091316
KEYWORDS: Breast, Tissue optics, Digital breast tomosynthesis, Oxygen, Tissues, Image compression, Imaging systems, Scattering, Sensors, Hemodynamics

Proceedings Article | 5 April 2016 Paper
Linxi Shi, Srinivasan Vedantham, Andrew Karellas, Lei Zhu
Proceedings Volume 9783, 978330 (2016) https://doi.org/10.1117/12.2217327
KEYWORDS: Breast, Monte Carlo methods, X-ray computed tomography, Computer simulations, Image quality, Photons, X-ray imaging, Visibility, Computed tomography, Image processing, Mammography, Breast cancer

Showing 5 of 16 publications
Course Instructor
SC356: Digital Mammography and Computer-Aided Diagnosis
The term Digital Mammography refers to the technology that is used for the electronic capture and display of x-ray images of the breast. In this process, film is not essential but it may be used as a recording medium for viewing and storing digital mammographic images. The various digital mammographic technologies are reviewed with emphasis on detector design and acquisition approach. These technologies include flat panel detectors using amorphous silicon detector arrays with a scintillator, flat panel amorphous selenium, stimulable phosphors, and slot scanning techniques using charge-coupled devices. Recent progress on advanced applications, such as tomographic and 3-D imaging of the breast, is presented. The interpretation of breast images can benefit from computer technology with advances in CAD. Computer-aided diagnosis (CAD) can be defined as a diagnosis made by a radiologist who uses the output from a computerized analysis of medical images as a second opinion in detecting lesions and in making diagnostic decisions. The final diagnosis is made by the radiologist. Rationale, computerized image analysis methods, and evaluation of performance of multi-modality CAD in the detection, diagnosis, and risk assessment of breast cancer will be reviewed.
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