國立虎尾科技大學 |

Multi-modality imaging = applications and computational techniques /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-modality imaging/ edited by Mauren Abreu de Souza, Humberto Remigio Gamba, Helio Pedrini.
Reminder of title:	applications and computational techniques /
other author:	Abreu de Souza, Mauren.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xiv, 256 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Diagnostic imaging. -
Online resource:	https://doi.org/10.1007/978-3-319-98974-7
ISBN:	9783319989747

Multi-modality imaging = applications and computational techniques /
Multi-modality imagingapplications and computational techniques /[electronic resource] :edited by Mauren Abreu de Souza, Humberto Remigio Gamba, Helio Pedrini. - Cham :Springer International Publishing :2018. - xiv, 256 p. :ill., digital ;24 cm.

Infrared Thermography -- Photoplethysmography Imaging and Common Optical Hybrid Imaging Modalities -- Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning -- CFD based post-processing of CT-MRI data to determine the Mechanics of Rupture in Abdominal Aortic Aneurysms -- Human Head Modelling Simulation Applied to Electroconvulsive Therapy -- Magnetic Resonance Imaging for Brain Mapping -- The use of photon scattering interactions in the diagnosis and treatment of disease -- Digital Breast Tomosynthesis: systems, characterization and simulation -- Out-of-Core Rendering of Large Volumetric Data Sets at Multiple Levels of Detail -- Geometric and Topological Modelling of Organs and Vascular Structures from CT Data -- Index.

This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.

ISBN: 9783319989747

Standard No.: 10.1007/978-3-319-98974-7doiSubjects--Topical Terms:

591439
Diagnostic imaging.

LC Class. No.: RC78.7.D53 / M858 2018

Dewey Class. No.: 616.0754

Multi-modality imaging = applications and computational techniques /
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300 $a xiv, 256 p. : $b ill., digital ; $c 24 cm.
505 0 $a Infrared Thermography -- Photoplethysmography Imaging and Common Optical Hybrid Imaging Modalities -- Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning -- CFD based post-processing of CT-MRI data to determine the Mechanics of Rupture in Abdominal Aortic Aneurysms -- Human Head Modelling Simulation Applied to Electroconvulsive Therapy -- Magnetic Resonance Imaging for Brain Mapping -- The use of photon scattering interactions in the diagnosis and treatment of disease -- Digital Breast Tomosynthesis: systems, characterization and simulation -- Out-of-Core Rendering of Large Volumetric Data Sets at Multiple Levels of Detail -- Geometric and Topological Modelling of Organs and Vascular Structures from CT Data -- Index.
520 $a This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.
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