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Computer-Aided Detection and Diagnosis for 3D X-Ray Based Breast Imaging

Computer-Aided Detection and Diagnosis for 3D X-Ray Based Breast Imaging
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Author(s): Gautam S. Muralidhar (The University of Texas at Austin, USA), Alan C. Bovik (The University of Texas at Austin, USA)and Mia K. Markey (The University of Texas at Austin, USA)
Copyright: 2012
Pages: 20
Source title: Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis
Source Author(s)/Editor(s): Kenji Suzuki (University of Chicago, USA)
DOI: 10.4018/978-1-4666-0059-1.ch003

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Abstract

The last 15 years has seen the advent of a variety of powerful 3D x-ray based breast imaging modalities such as digital breast tomosynthesis, digital breast computed tomography, and stereo mammography. These modalities promise to herald a new and exciting future for early detection and diagnosis of breast cancer. In this chapter, the authors review some of the recent developments in 3D x-ray based breast imaging. They also review some of the initial work in the area of computer-aided detection and diagnosis for 3D x-ray based breast imaging. The chapter concludes by discussing future research directions in 3D computer-aided detection.

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