Abstract
Cone-beam dedicated breast CT scanners have been developed to provide 3D images of the breast with sub millimeter isotropic resolution, no breast compression, and dose equivalent to mammography. This article will first review the system design and hardware components used in dedicated breast CT, followed by a review of scanner performance and image quality investigations. Proposed reconstruction algorithms will be discussed and the results from clinical trials presented. Promising new directions in breast CT, such as multi-modality, volume of interest, and multi-energy imaging, will be described. The paper will also discuss the challenges of breast CT including anatomical coverage and image management.
Keywords: CT, cone-beam, breast imaging
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
7