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"Imaging in pediatric pulmonology is a definitive reference to imaging and differential diagnosis for pediatric pulmonology. Diseases and disorders seen in everyday clinical practice are featured, including infections, developmental disorders, airway abnormalities, diffuse lung diseases, focal lung diseases, and lung tumors. Organized to support the clinical thought process, the text begins with a series of clinical algorithms that provide a starting point for formulating a diagnosis. The physician will be able to identify the differentials by symptom complex and accordingly determine what test would be effective and how to proceed. The balance of the book is image-based and presents a comprehensive, multi-modality approach, with an emphasis on plain film and cross-sectional imaging. The imaging sections are correlated with pathology and clinical findings to help readers learn what the modality of choice can enable them to see. "

"The book, written by expert pediatricians and radiologists, is divided into ten chapters covering neurology, cardiology, neonatology, interventional radiology, the abdomen, the musculoskeletal system, the thorax, the genitourinary system, the fetus, and emergencies. Each chapter comprises ten cases that are presented in a standard way. After discussion of the disorder in question, four representative images are displayed and described with special attention to distinctive features. In addition, informative key references are provided, including a book or book chapter, a web link, and ten recent articles. "

"Efficiency is the key word at the heart of the concept for this diagnostic atlas - efficiency of presentation and diagnostic efficiency achieved through its use. The contents are arranged in chapters according to organ or body part. Each chapter begins with a list of the radiographic findings referring to the relevant table/​page number for that finding. The text within these tables is presented under three columns: possible diagnoses, radiographic findings, and general comments. Corresponding sample images of the highest quality are then provided for the more common conditions throughout. Rare diseases are marked with asterisks and are illustrated where appropriate. The hard-pressed radiologist will welcome this work as an efficient and reliable guide to the interpretation of pediatric images"--Provided by publisher"

"Summary:Offers the coverage and unparalleled guidance in various areas of pediatric radiology. This title focuses on the core issues that you need to understand protocols and sequences, and know what techniques are appropriate for given clinical situations."

"This book will be a welcome resource for any physician or health care practitioner looking to further their knowledge and skills in point-of-care ultrasound."

"Revised and updated for its Fourth Edition, Aunt Minnie's Atlas and Imaging-Specific Diagnosis is an excellent study tool for the oral radiology board examination. It features more than 360 cases and over 1,000 images, divided by region, that follow a standard format: images, history, findings, diagnosis, discussion and "Aunt Minnie's Pearls," which reinforce the key features of each case while providing a quick review of salient points. The cases represent all modalities and cover all subspecialties tested on the oral boards.This edition contains new classic cases and online access containing all the cases from the book plus additional cases"

"Perkembangan terkini dari perangkat pencitraan medik computerized tomography (CT) scan telah memungkinkan dihasilkannya citra dari penampang melintang secara multi irisan dalam orde beberapa detik. Citra medik digital yang dihasilkan merepresentasikan penampang melintang dari berbagai struktur jaringan dari irisan yang dicitrakan. Salah satu tantangan yang dapat membantu dalam proses diagnosis berbasis citra adalah ekstraksi informasi dari struktur anatomi tertentu dengan suatu metode segmentasi citra serta visualisasi volumetrik dengan bantuan komputer. Untuk kasus visualisasi volumetrik tulang pelvis pada citra CT-scan multi irisan, seluruh citra yang mengandung bagian struktur tulang pelvis harus disegmentasi. Pada penelitian ini, satu teknik segmentasi citra berbasis active contour akan diimplementasikan untuk melakukan segmentasi citra multi irisan secara semi otomatis. Proses segmentasi citra diawalidengan menentukan model kurva 2D yang dilakukan secara manual pada citra irisan pertama. Kemudian model kurva tersebut secara iterasi akan berdeformasi sampai dengan bentuk kurva yang berhimpit pada batas tepian citra tulang pelvis. Hari akhir kurva 2D pada irisan pertama akan digunakan sebagai inisialisasi model kurva 2D pada proses segmentasi citra irisan berikutnya. Proses tersebut akan berlanjut sampai dengan citra irisan terakhir. Metode segmentasi citra berbasis active contour akan dibandingkan dengan metode segmentasi secara nilai ambang dari homogenitas distribusi intensitas dan metode segmentasi secara manual. Analisis secara kualitatif terhadap hasil segmentasi tiap irisan dan analisis kualitatif pada representasi visualisasi volumetrik digunakan pada penelitian ini.

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AbstractThe current development of computerized tomography (CT) has enable us to obtain cross sectional image using multi slicing techniques in an order of few seconds. The obtained images represent several tissue structures on cross section slice being imaged. One challenge to help diagnosis using CT images is extracting an anatomic structure of interest using a method of image segmentation and volumetric visualization with the assistance of computers. In case of volumetricvisualization of pelvis bones extracted from multi-slice CT images, whole images which are containing part of pelvis bone structures must be segmented. In this research, an image segmentation technique based on active contour is implemented for semi-automatic multi slice image segmentation. Image segmentation steps are initialized with a define model of 2D curve on the first slice image manually. Next, its model curve is deformed to reach the final result of 2D curve that fits to boundary edges of pelvis bone image. The final result of 2D curve on previous slice image was used as an initialization model of 2D curve on the next slice images. This process will continue until the final slice image. This segmentation method was compared with the segmentation method based on threshold from homogenous intensitydistribution and manual segmentation method. Quantitative analysis from the results of segmentation on each slice and qualitative analysis on the representation of volumetric visualization are performed in this research."