Dr. Andrew Karellas
Professor, Medical Imaging
SPIE Involvement:
Author | Instructor
Publications (15)

Proceedings Article | 14 September 2017 Paper
Proc. SPIE. 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII
KEYWORDS: Breast, Breast cancer, Sensors, Scintillators, Computed tomography, X-ray detectors, Performance modeling

Proceedings Article | 7 September 2017 Paper
Proc. SPIE. 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII
KEYWORDS: X-ray computed tomography, Imaging systems, Computed tomography, X-ray fluorescence spectroscopy

SPIE Journal Paper | 27 September 2016
JBO Vol. 21 Issue 09
KEYWORDS: Breast, Tissue optics, Digital breast tomosynthesis, Oxygen, Tissues, Image compression, Imaging systems, Scattering, Sensors, Hemodynamics

Proceedings Article | 5 April 2016 Paper
Proc. SPIE. 9783, Medical Imaging 2016: Physics of Medical Imaging
KEYWORDS: Breast, X-ray computed tomography, Breast cancer, Image processing, Photons, Computer simulations, Monte Carlo methods, Image quality, Mammography, Computed tomography, X-ray imaging, Visibility

Proceedings Article | 7 March 2016 Presentation + Paper
Proc. SPIE. 9706, Optical Interactions with Tissue and Cells XXVII
KEYWORDS: Breast, Refractive index, Cancer, Breast cancer, Tissues, Surgery, Imaging systems, Sensors, Quartz, Water, Reflectivity, Terahertz radiation

Showing 5 of 15 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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