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  • Book
    editor, C H Chen.
    Summary: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

    Contents:
    Ch. 1. An introduction to computer vision in medical imaging / Chi Hau Chen
    pt. 1. Theory and methodologies. ch. 2. Distribution matching approaches to medical image segmentation / Ismail Ben Ayed
    ch. 3. Digital pathology in medical imaging / Bikash Sabata ... [et al.]
    ch. 4. Adaptive shape prior modeling via online dictionary learning / Shaoting Zhang ... [et al.]
    ch. 5. Feature-centric lesion detection and retrieval in thoracic images / Yang Song ... [et al.]
    ch. 6. A novel paradigm for quantitation from MR phase / Joseph Dagher
    ch. 7. A multi-resolution active contour framework for ultrasound image segmentation / Weiming Wang ... [et al.]
    pt. 2. 2-D, 3-D reconstructions/imaging algorithms, systems & sensor fusion. ch. 8. Model-based image reconstruction in optoacoustic tomography / Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos
    ch. 9. The fusion of three-dimensional quantitative coronary angiography and intracoronary imaging for coronary interventions / Shengxian Tu ... [et al.]
    ch. 10. Three-dimensional reconstruction methods in near-field coded aperture for SPECT imaging system / Stephen Baoming Hong
    ch. 11. Ultrasound volume reconstruction based on direct frame interpolation / Sergei Koptenko ... [et al.]
    ch. 12. Deconvolution technique for enhancing and classifying the retinal images / Uvais A. Qidwai and Umair A. Qidwai
    ch. 13. Medical ultrasound digital signal processing in the GPU computing era / Marcin Lewandowski
    ch. 14. Developing medical image processing algorithms for GPU assisted parallel computation / Mathias Broxvall and Marios Daoutis
    pt. 3. Specific image processing and computer vision methods for different imaging modalities including IVUS, MRI, etc. ch. 15. Computer vision in interventional cardiology / Kendall R. Waters
    ch. 16. Pattern classification of brain diffusion MRI: application to schizophrenia diagnosis / Ali Tabesh ... [et al.]
    ch. 17. On compressed sensing reconstruction for magnetic resonance imaging / Benjamin Paul Berman, Sagar Mandava and Ali Bilgin
    ch. 18. On hierarchical statistical shape models with application to brain MRI / Juan J. Cerrolaza, Arantxa Villanueva and Rafael Cabeza
    ch. 19. Advanced PDE-based methods for automatic quantification of cardiac function and scar from magnetic resonance imaging / Durco Turco and Cristiana Corsi
    ch. 20. Automated IVUS segmentation using deformable template model with feature tracking / Prakash Manandhar and Chi Hau Chen.
    Digital Access Wortd Scientific 2014