Lina Arbash Meinel

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PURPOSE To develop and evaluate a computerized segmentation method for breast MRI (BMRI) mass-lesions. MATERIALS AND METHODS A computerized segmentation algorithm was developed to segment mass-like-lesions on breast MRI. The segmentation algorithm involved: (i) interactive lesion selection, (ii) automatic intensity threshold estimation, (iii) connected(More)
PURPOSE To develop and test a computer-aided diagnosis (CAD) system to improve the performance of radiologists in classifying lesions on breast MRI (BMRI). MATERIALS AND METHODS A CAD system was developed that uses a semiautomated segmentation method. After segmentation, 42 features based on lesion shape, texture, and enhancement kinetics were computed,(More)
The goal of this study is to develop a computerized method that identifies a specific axillary lymph node (ALN) seen on ultrasound (US) with its most likely corresponding node on breast MRI (BMRI). This goal is an important step in developing a preoperative non-invasive method for staging breast cancer on the basis of multi-modality imaging. Twenty patients(More)
Ultrasonography has the potential to accurately stage breast cancer with automated analysis to detect axillary lymph node metastasis. The aim of this study was to develop and test automated quantitative ultrasound image analysis of axillary lymph nodes for breast cancer staging. Following an IRB-approved HIPAA compliant protocol, ultrasound images of 90(More)
Introduction: Breast cancer is the second leading cause of cancer deaths in women today. Currently, mammography is the primary method of early detection. However, research has shown that many cases (10-30%) missed by mammography can be detected using breast MRI (BMRI). BMRI is more difficult to interpret than mammography because it generates significantly(More)
1. Purpose Dynamic contrast enhanced breast MRI (DCE BMRI) has emerged as tool for breast cancer diagnosis. While DCE BMRI is known to have a high sensitivity studies show a limited specificity of the method, leading to a large number of benign lesions being biopsied. The present paper is part of an effort to address the clinical demand for computer-aided(More)
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