Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective

Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective


The book covers novel strategies of state of the art in engineering and clinical analysis and approaches for analyzing abdominal imaging, including lung, mediastinum, pleura, liver, kidney and gallbladder. In the last years the imaging techniques have experienced a tremendous improvement in the diagnosis and characterization of the pathologies that affect abdominal organs. In particular, the introduction of extremely fast CT scanners and high Magnetic field MR Systems allow imaging with an exquisite level of detail the anatomy and pathology of liver, kidney, pancreas, gallbladder as well as lung and mediastinum. Moreover, thanks to the development of powerful computer hardware and advanced mathematical algorithms the quantitative and automated\semi automated diagnosis of the pathology is becoming a reality. Medical image analysis plays an essential role in the medical imaging field, including computer-aided diagnosis, organ/lesion segmentation, image registration, and image-guided therapy.

This book will cover all the imaging techniques, potential for applying such imaging clinically, and offer present and future applications as applied to the abdomen and thoracic imaging with the most world renowned scientists in these fields. The main aim of this book is to help advance scientific research within the broad field of abdominal imaging. This book focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in medical imaging analysis for abdominal imaging. ?

Table of contents

Front Matter....Pages i-ix
Computer-Aided Diagnosis Systems for Acute Renal Transplant Rejection: Challenges and Methodologies....Pages 1-35
Kidney Detection and Segmentation in Contrast-Enhanced Ultrasound 3D Images....Pages 37-67
Renal Cortex Segmentation on Computed Tomography....Pages 69-97
Diffuse Fatty Liver Disease: From Diagnosis to Quantification....Pages 99-122
Multimodality Approach to Detection and Characterization of Hepatic Hemangiomas....Pages 123-144
Ultrasound Liver Surface and Textural Characterization for the Detection of Liver Cirrhosis....Pages 145-168
MR Imaging of Hepatocellular Carcinoma....Pages 169-207
Magnetic Resonance Imaging of Adenocarcinoma of the Pancreas....Pages 209-231
Quantitative Evaluation of Liver Function Within MR Imaging....Pages 233-251
Diffusion-Weighted Imaging of the Liver....Pages 253-278
Shape-Based Liver Segmentation Without Prior Statistical Models....Pages 279-315
CT Imaging Characteristics of Hepatocellular Carcinoma....Pages 317-346
Clinical Applications of Hepatobiliary MR Contrast Agents....Pages 347-364
Fast Object Detection Using Color Features for Colonoscopy Quality Measurements....Pages 365-388
Colon Surface Registration Using Ricci Flow....Pages 389-419
Efficient Topological Cleaning for Visual Colon Surface Flattening....Pages 421-441
Towards Self-Parameterized Active Contours for Medical Image Segmentation with Emphasis on Abdomen....Pages 443-462
Bridging the Gap Between Modeling of Tumor Growth and Clinical Imaging....Pages 463-487
Evaluation of Medical Image Registration by Using High-Accuracy Image Matching Techniques....Pages 489-508
Preclinical Visualization of Hypoxia, Proliferation and Glucose Metabolism in Non-small Cell Lung Cancer and Its Metastasis....Pages 509-522
Thermoacoustic Imaging with VHF Signal Generation: A New Contrast Mechanism for Cancer Imaging Over Large Fields of View....Pages 523-557
Automated Prostate Cancer Localization with Multiparametric Magnetic Resonance Imaging....Pages 559-586
Ultrasound-Fluoroscopy Registration for Intraoperative Dynamic Dosimetry in Prostate Brachytherapy....Pages 587-621
Multi-Atlas-Based Segmentation of Pelvic Structures from CT Scans for Planning in Prostate Cancer Radiotherapy....Pages 623-656
Propagating Segmentation of a Single Example to Similar Images: Differential Segmentation of the Prostate in 3-D MRI....Pages 657-681
3D Registration of Whole-Mount Prostate Histology Images to Ex Vivo Magnetic Resonance Images Using Strand-Shaped Fiducials....Pages 683-716
Anatomical Landmark Detection....Pages 717-754
Back Matter....Pages 755-773


  • Author: Mahmoud Mostapha, Fahmi Khalifa, Amir Alansary (auth.), Ayman S. El-Baz, Luca Saba, Jasjit Suri (eds.)
  • Edition: 1
  • Publication Date: 2014
  • Publisher: Springer US
  • ISBN-13: 9781461484974, 9781461484981
  • Pages: 769
  • Format: pdf
  • Size: 23.6M
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