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.

This book provides readers with the most up-to-date practical information on breast cancer screening. Since breast cancers are highly heterogeneous, time to clinical onset from the initial carcinogenesis differs diversely between cancers. Pathological germline variants and driver mutations cause a high lifetime risk of breast cancer. The lifetime risks are various according to what genes are pathologically dysfunctional. Integrated omics and imaging technologies have established varying tumour characteristics. Thus, this book suggests that a more individualised scheme is required to improve breast cancer screening. A key aim is to demonstrate how multiple diagnostic imaging modalities such as mammography, ultrasonography, MRI, PET and dbPET improve breast cancer screening accuracy. Mammography screening alone may have a limited impact on breast cancer risk prediction. These issues are crucial to discuss. Clinical experts recommend that new modalities be incorporated for women with dense breasts, like ultrasonography, dynamic mammography, MRI and maybe breast-dedicated PET. Topics on these modalities are going to be summarized in this book. An in-depth review of these modalities is summarised in this book. In addition, new diagnostic modalities, including risk assessment tools, multi-cancer early detection tests using liquid biopsy, the role of protein biomarkers in breast cancer risk screening, challenges, and hopes for future advances, are also covered in this book.

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.