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  Computer vision in medical imaging

  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
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• Article

  Reinnervation of muscle fiber basal lamina after removal of myofibers. Differentiation of regenerating axons at original synaptic sites.

  Sanes JR, Marshall LM, McMahan UJ.

  J Cell Biol. 1978 Jul;78(1):176-98.

  Axons regenerate to reinnervate denervated skeletal muscle fibers precisely at original synaptic sites, and they differentiate into nerve terminals where they contact muscle fibers. The aim of this study was to determine the location of factors that influence the growth and differentiation of the regenerating axons. We damaged and denervated frog muscles, causing myofibers and nerve terminals to degenerate, and then irradiated the animals to prevent regeneration of myofibers. The sheath of basal lamina (BL) that surrounds each myofiber survives these treatments, and original synaptic sites on BL can be recognized by several histological criteria after nerve terminals and muscle cells have been completely removed. Axons regenerate into the region of damage within 2 wk. They contact surviving BL almost exclusively at original synaptic sites; thus, factors that guide the axon's growth are present at synaptic sites and stably maintained outside of the myofiber. Portions of axons that contact the BL acquire active zones and accumulations of synaptic vesicles; thus by morphological criteria they differentiate into nerve terminals even though their postsynaptic targets, the myofibers, are absent. Within the terminals, the synaptic organelles line up opposite periodic specializations in the myofiber's BL, demonstrating that components associated with the BL play a role in organizing the differentiation of the nerve terminal.

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  PubMed