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Annotating lesion locations by radiologists’ manual marking is a key step to provide reference standard for the training and testing of a computer-aided detection system by supervised machine learning. Inter-reader variability is not uncommon in readings even by expert radiologists. This study evaluated the variability of the radiologist-identified pulmonary emboli (PEs) to demonstrate the importance...
We are developing a computer-aided detection (CAD) system for masses on digital breast tomosynthesis mammograms (DBT). A data set of DBT from patients was collected with informed consent using a GE prototype DBT system. The system has an Rh/Rh x-ray source and a CsI/a:Si detector, and acquires 21 projection view (PV) images over a 60º arc in 3º increments. The total dose of the 21 PVs is set to be...
Studies have shown that full-field digital mammography (FFDM) has the potential to alleviate some of the limitations of screen-film mammography (SFM). It is therefore important to develop computer-aided diagnosis (CAD) systems for FFDM or adapt CAD systems developed for SFM to FFDM. The purpose of this study was to evaluate the performance of a CAD system, originally developed for characterization...
An intuitive display method was developed to enable a user to select and visualize corresponding volumes of interest in combined digital breast tomosynthesis (DBT) and automated breast ultrasound images. Details of this method are described including experiments performed to assess the accuracy of the calibration for coordinate transformation. The distance between an object in the ultrasound images...
Tomosynthesis provides a major advance in image quality compared to conventional projection mammography by effectively eliminating the effects of superimposed tissue on anatomical structures of interest. Early tomosynthesis systems focused primarily on feasibility assessment by providing 3-dimensional images to determine performance advantages. However, tomosynthesis image quality depends strongly...
Tomosynthesis reconstruction that produces high-quality images is a difficult problem, due mainly to the highly incomplete data. In this work we present a motivation for the generalized filtered backprojection (GFBP) approach to tomosynthesis reconstruction. This approach is fast (since non-iterative), flexible, and results in reconstructions with an image quality that is similar or superior to reconstructions...
The purpose of the study is to develop an automated system for detecting microcalcifications within a predefined region of interest (ROI), and classifying the clusters as malignant and benign on full-filled digital mammograms (FFDM). Our system consists of two stages. In the first stage, a detection program is used to detect cluster candidates within the ROI. A rule-based identification method is...
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