Breast MRI is a comprehensive, practical resource entirely devoted to this state-of-the-art technique, which has emerged as a valuable adjunct to the conventional imaging modalities in the detection of primary and recurrent breast cancer. This brand-new medical reference book utilizes an atlas-type format that showcases numerous examples of each aspect of breast MRI, equipping you with the latest knowledge on effective breast image interpretation. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. Compare your breast imaging findings to a wealth of breast MRI examples that capture the characteristic clinical presentation of both normal and diseased patients. Apply the most up-to-date information available on all aspects of breast MRI, including MRI-guided biopsy, breast cancer screening with MRI, MRI features of benign and malignant lesions, and MRI in the evaluation of newly diagnosed breast cancer. Take advantage of an image-rich, atlas-type format that offers the visual clarity you need for accurate interpretation.

State-of-the-art resource details effective breast MRI techniques for improved screening and diagnosis Magnetic resonance imaging (MRI) of the breast has evolved into an important breast cancer screening tool and major advance in women's health. Breast MRI is currently the most sensitive detection technique for both non-invasive and invasive cancers and follow-up in women with a new breast cancer diagnosis. It is increasingly becoming the go-to imaging method for screening women at high and intermediate risk of breast cancer and those with dense breast tissue on mammography. Yet despite its reliability and growing use, many radiologists lack the expertise to accurately perform breast MR image interpretation. Breast MRI Interpretation: Text and Case Analysis for Screening and Diagnosis by Gillian M. Newstead reflects insights and expertise from one of the leading authorities on breast imaging. The book is a highly practical reference on evaluation and interpretation of breast MR imaging, with discussion of the modality as a screening and diagnostic tool. Topics include image acquisition and interpretation, clinical implementation, managing findings, and overcoming problems. Key Highlights About 3,000 illustrations from the University of Chicago including single selected images, side-by-side images at different time points and acquisition parameters, and 3-D images enhance understanding of breast imaging Discussion of advanced acquisition techniques and future potential applications including non-contrast imaging, quantitative dynamic imaging, and artificial intelligence using advanced computer analytic methods This remarkable resource streamlines the breast MRI process, enabling radiologists to incorporate this imaging modality into practice, conduct screening and diagnostic exams more efficaciously, and interpret findings accurately.

State-of-the-art resource details effective breast MRI techniques for improved screening and diagnosis Magnetic resonance imaging (MRI) of the breast has evolved into an important breast cancer screening tool and major advance in women's health. Breast MRI is currently the most sensitive detection technique for both non-invasive and invasive cancers and follow-up in women with a new breast cancer diagnosis. It is increasingly becoming the go-to imaging method for screening women at high and intermediate risk of breast cancer and those with dense breast tissue on mammography. Yet despite its reliability and growing use, many radiologists lack the expertise to accurately perform breast MR image interpretation. Breast MRI Interpretation: Text and Case Analysis for Screening and Diagnosis by Gillian M. Newstead reflects insights and expertise from one of the leading authorities on breast imaging. The book is a highly practical reference on evaluation and interpretation of breast MR imaging, with discussion of the modality as a screening and diagnostic tool. Topics include image acquisition and interpretation, clinical implementation, managing findings, and overcoming problems. Key Highlights About 3,000 illustrations from the University of Chicago including single selected images, side-by-side images at different time points and acquisition parameters, and 3-D images enhance understanding of breast imaging Discussion of advanced acquisition techniques and future potential applications including non-contrast imaging, quantitative dynamic imaging, and artificial intelligence using advanced computer analytic methods This remarkable resource streamlines the breast MRI process, enabling radiologists to incorporate this imaging modality into practice, conduct screening and diagnostic exams more efficaciously, and interpret findings accurately.

Dynamic contrast enhanced (DCE) MRI is the most sensitive imaging technique for detecting breast cancer. Unfortunately, breast DCE MRI is primarily recommended in patients at high risk for breast cancer. As a result, relatively few women benefit from breast MRI. Shortening MR breast imaging protocols is a key requirement to reduce cost and improve patient access to this powerful imaging tool for the detection of breast cancer. We developed a new technology for bilateral breast imaging that learns and models temporal behaviors through a local low rank (LLR) constraint that differs from previous approaches in breast MR iterative image reconstruction. We present an imaging methodology that delivers simultaneously higher spatial and temporal resolution than any previously published methods and a robust technology whose performance does not depend on lesion size, morphology or heterogeneity. Furthermore, we adopt an early enhancement phase approach which provides similar or more valuable information than the current methodology with a much shorter scan time. We present an ultra-fast (10 s) volumetric bilateral breast MRI exam with 0.8 mm isotropic resolution, surpassing today's standard clinical resolution while providing temporal resolutions six-to-eighteen-fold faster. By simultaneously providing high spatial and temporal information of the brief but important early enhancement phase, we provide clinicians and researchers with the capability to extract all the diagnostic and lesion characterization data possible from early enhancement phase. The goal for this project was to develop and demonstrate the feasibility of a high-performance sequence for abbreviated breast MRI. Though numerous accelerated methods have previously been proposed, very little validation of the information they derive has been generated due to the complexity of testing reconstruction methods and lesion-dependent imaging performance without a reference standard for comparison. We validated the effectiveness of the method to create high temporal fidelity in a digital phantom and demonstrated the feasibility of our proposed approach with 11 clinical subjects.

Breast MRI: State of the Art and Future Directions provides a comprehensive overview of the current applications of breast MRI, including abbreviated MRI, as well as presenting technical recommendations, practical implementation and associated challenges in clinical routine. In addition, the book introduces novel MRI techniques, multimodality imaging, and advanced image processing coupled with AI, reviewing their potential for impeding and future clinical implementation. This book is a complete reference on state-of-the-art breast MRI methods suitable for MRI researchers, radiographers and clinicians. Breast cancer is one of the leading causes of death among women with early detection being the key to improved prognosis and survival. Magnetic resonance imaging (MRI) of the breast is undisputedly the most sensitive imaging method to detect cancer, with a higher detection rate than mammography, digital breast tomosynthesis, and ultrasound. Spans the whole spectrum of breast MRI, including basic imaging techniques, indications, interpretation, and the latest cutting-edge techniques Reviews multiparametric MRI and abbreviated protocols, providing an outlook on the future of this technique Discusses the predictive and prognostic value of MRI as well as the evolving field of radiomics/genomics and AI

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.