000			02481 a2200241 4500
003			OSt
020			_a9781138310285
040			_cIIT Kanpur
041			_aeng
082			_a621.367 _bJ25m2
100			_aJan, Jiri
245			_aMedical image processing, reconstruction and analysis [2nd ed.] _bconcepts and methods _cJiri Jan
250			_a2nd ed.
260			_bCRC Press _c2020 _aBoca Raton
300			_axxiii, 573p
440			_aTaylor and Francis series in signal processing and communications
490			_a/ edited by Fathi E. Abd El-Samie
520			_aDifferently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication.
650			_aImage analysis
650			_aBiomedical engineering
650			_aDiagnostic imaging
942			_cBK
999			_c565069 _d565069