000 04448nam a22005175i 4500
001 978-1-4419-9779-1
003 DE-He213
005 20140220083730.0
007 cr nn 008mamaa
008 110719s2011 xxu| s |||| 0|eng d
020 _a9781441997791
_9978-1-4419-9779-1
024 7 _a10.1007/978-1-4419-9779-1
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aDougherty, Geoff.
_eeditor.
245 1 0 _aMedical Image Processing
_h[electronic resource] :
_bTechniques and Applications /
_cedited by Geoff Dougherty.
250 _a1.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXVI, 380 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aBiological and Medical Physics, Biomedical Engineering,
_x1618-7210
505 0 _aPreface -- Contributors -- Introduction -- Rapid Prototyping of Image Analysis Applications -- Seeded Segmentation Methods for Medical Image Analysis -- Deformable Models and Level Sets in Image Segmentation -- Fat Segmentation in Magnetic Resonance Images -- Angiographic Image Analysis -- Detecting and Analyzing Linear Structures in Biomedical Images: A Case Study Using Corneal Nerve Fibers -- Improving and Accelerating the Detection of Linear Features: Selected Applications in Biological Imaging -- Medical Imaging in the Diagnosis of Osteoporosis and Estimation of the Individual Bone Fracture Risk -- Applications of Medical Image Processing in the Diagnosis and Treatment of Spinal     Deformity -- Image Analysis of Retinal Images -- Tortuosity as an Indicator of the Severity of Diabetic Retinopathy -- Medical Image Volumetric Visualization: Algorithms, Pipelines and Surgical Applications -- Sparse Sampling in MRI -- Digital Processing of Diffusion-Tensor Images of Avascular Tissues.
520 _aThe field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extensive, integrative publications that connect fundamental principles and new advances in algorithms and techniques to practical applications are essential. Medical Image Processing: Techniques and Applications meets this challenge and provides an enduring bridge in the ever expanding field of medical imaging. It serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on medical applications. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It presents a detailed approach to each application while emphasizing insight and “tricks of the trade”, and the applicability of techniques to other research areas. Although each chapter is written by an expert (or experts) in that area and is essentially self-contained, fundamental connections between the different topics are emphasized so that the book forms an integrated whole. The book is designed for end users who wish to update their skills and understanding with the latest techniques in image analysis. Providing unprecedented breadth and detail, it will be a valuable cross-disciplinary resource both at the graduate and specialist level. It is also well suited  to supplement and motivate learning in graduate-level image processing classes within biomedical engineering, radiology and computer science.
650 0 _aEngineering.
650 0 _aRadiology, Medical.
650 0 _aComputer vision.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aBiophysics and Biological Physics.
650 2 4 _aDiagnostic Radiology.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSpectroscopy and Microscopy.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441997692
830 0 _aBiological and Medical Physics, Biomedical Engineering,
_x1618-7210
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9779-1
912 _aZDB-2-PHA
999 _c106121
_d106121