Image-Guided Aesthetic Treatments (1版)

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This book offers a detailed and up-to-date overview of image-guided aesthetic treatments. A wide range of aesthetic image-guided procedures in different body regions are described in more than twenty chapters. For each procedure, the benefits of image guidance are identified and its use is clearly explained. The coverage includes all the major tools commonly employed by today’s aesthetic and plastic surgeons, such as spectral imaging, laser, microfocused ultrasound, and radiofrequency technologies. Image guidance of aesthetic treatments has a variety of benefits: Image-guided treatment by means of non-surgical or minimally invasive modalities greatly reduces patient anxiety and the likelihood of postoperative disfigurement. Image guidance allows the physician to measure the skin thickness and the depth of fat tissue and to evaluate the elasticity of the skin and subcutaneous tissues, improving thermal treatment outcomes. It can also map the arteries, veins, and nerves, thereby providing preoperative landmarks and permitting reduction of postoperative bleeding and avoidance of nerve damage. Furthermore, imaging can non-invasively identify subdermal fillers or implants, assisting in the identification of migration with attendant vascular compromise or nerve entrapment. Image-Guided Aesthetic Treatments will be a valuable guide and reference not only for aesthetic practitioners, plastic surgeons, and other specialists, but also for imaging technicians and interested laypersons.

A Computational Introduction to Digital Image Processing (2版)

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【簡介】 Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. New to the Second Edition This second edition provides users with three different computing options. Along with MATLAB(R), this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Principles, Practices, and Programming Based on the author's successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material. 【目錄】