Lung Imaging and Computer Aided Diagnosis

A Novel Three-Dimensional Framework for Automatic Lung Segmentation from Low- Dose Computed Tomography Images; Ayman El-Baz, Georgy Gimel’farb, Robert Falk, and Mohamed Abo El-Ghar

Incremental Engineering of Lung Segmentation Systems; Avishkar Misra, Arcot Sowmya, and Paul Compton

3D MGRF-Based Appearance Modeling for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images; Ayman El-Baz, Georgy Gimel’farb, Robert Falk, and Mohamed Abo El-Ghar

Ground-Glass Nodule Characterization in High-Resolution Computed Tomography Scans; Kazunori Okada

Four-Dimensional Computed Tomography Lung Registration Methods; Anand P. Santhanam, Yugang Min, Jannick P. Rolland, Celina Imielinska, and Patrick A. Kupelian

Pulmonary Kinematics via Registration of Serial Lung Images; Tessa Cook, Gang Song, Nicholas J. Tustison, Drew Torigian, Warren B. Gefter, and James Gee

Acquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Computed Microtomography; Xabier Artaechevarria, Mario Ceresa, Arrate Muñoz- Barrutia, and Carlos Ortiz-de- Solorzano

Airway Segmentation and Analysis from Computed Tomography; Benjamin Irving, Andrew Todd-Pokropek, and Paul Taylor

Pulmonary Vessel Segmentation for Multislice CT Data: Methods and Applications; Jens N. Kaftan and Til Aach

A Novel Level Set-Based Computer-Aided Detection System for Automatic Detection of Lung Nodules in Low-Dose Chest Computed Tomography Scans; Ayman El-Baz, Aly Farag, Georgy Gimel’farb, Robert Falk, and Mohamed Abo El-Ghar

Model-Based Methods for Detection of Pulmonary Nodules; Paulo R. S. Mendonça, Rahul Bhotika, and Robert Kaucic

Concept and Practice of Genetic Algorithm Template Matching and Higher Order Local Autocorrelation Schemes in Automated Detection of Lung Nodules; Yongbum Lee, Takeshi Hara, DuYih Tsai, and Hiroshi Fujita

Computer-Aided Detection of Lung Nodules in Chest Radiographs and Thoracic CT; Kenji Suzuki

Lung Nodule and Tumor Detection and Segmentation; Jinghao Zhou and Dimitris N. Metaxas

Texture Classification in Pulmonary CT; Lauge Sørensen, Mehrdad J. Gangeh, Saher B. Shaker, and Marleen de Bruijne

Computer-Aided Assessment and Stenting of Tracheal Stenosis; Rômulo Pinho, Kurt G. Tournoy, and Jan Sijbers

Appearance Analysis for the Early Assessment of Detected Lung Nodules; Ayman El-Baz, Georgy Gimel’farb, Robert Falk, Mohamed Abo El-Ghar, and Jasjit Suri

Validation of a New Image-Based Approach for the Accurate Estimating of the Growth Rate of Detected Lung Nodules Using Real Computed Tomography Images and Elastic Phantoms Generated by State-of-the-Art Microfluidics Technology; Ayman El-Baz, Palaniappan Sethu, Georgy Gimel’farb, Fahmi Khalifa, Ahmed Elnakib, Robert Falk, Mohamed Abo El-Ghar, and Jasjit Suri

Three-Dimensional Shape Analysis Using Spherical Harmonics for Early Assessment of Detected Lung Nodules; Ayman El-Baz, Matthew Nitzken, Georgy Gimel’farb, Eric Van Bogaert, Robert Falk, Mohamed Abo El-Ghar, and Jasjit Suri

Index

Biography

Ayman El-Baz received BSc and MS degrees in electrical engineering from Mansoura University, Egypt, in 1997 and 2000, respectively, and a PhD degree in electrical engineering from University of Louisville, Kentucky. He joined the Bioengineering Department of the University of Louisville in August 2006. His current research is focused on developing new computer-assisted diagnosis systems for different diseases and brain disorders.

Jasjit S. Suri is an innovator, a scientist, a visionary, an industrialist, and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his doctorate from the University of Washington, Seattle, and a business management sciences degree from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was awarded the President’s Gold Medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering for his outstanding contributions.