Image Fusion Method and the Efficacy of Multimodal Cardiac Images

Currently, there is no single type of medical image that provides an indispensable tool for clinical diagnosis and treatment: Rather, different imaging devices are used for different diseases. Each imaging device has both advantages and disadvantages. To provide a more complete picture and to improve accuracy in diagnosis, techniques that combine images taken by different imaging modalities have recently used more in clinical practice. In addition, researchers continue to develop these techniques. Previously, images taken by different devices at different times were integrated using image processing techniques. After the development of hybrid imaging devices that can connect two kinds of devices, complicated processing by software was reduced. In this chapter, the authors review some representative imaging modalities that are commonly used as diagnostic tools and discuss the use and efficacy of image fusion techniques for clinical use.

[1]  Hatem Alkadhi,et al.  Validation of a new cardiac image fusion software for three-dimensional integration of myocardial perfusion SPECT and stand-alone 64-slice CT angiography , 2007, European Journal of Nuclear Medicine and Molecular Imaging.

[2]  D. Dey,et al.  Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: a phantom study. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[3]  Hidekata Hontani,et al.  Validity of Fusion Imaging of Hamster Heart obtained by Fluorescent and Phase-Contrast X-Ray CT with Synchrotron Radiation , 2007 .

[4]  Peter J. Ell,et al.  First experience of combined cardiac PET/64-detector CT angiography with invasive angiographic validation , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[5]  Cyrill Burger,et al.  Integrated PET/CT for the assessment of coronary artery disease: a feasibility study. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[6]  Rafael Beyar,et al.  Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions. , 2007, Journal of the American College of Cardiology.

[7]  Michel Barlaud,et al.  Space-time segmentation using level set active contours applied to myocardial gated SPECT , 2001, IEEE Transactions on Medical Imaging.

[8]  Natarajan Sriraam,et al.  A Novel Detection Approach for Cardio-Respiratory Disorders Using PPG Signals , 2012 .

[9]  Thomas Beyer,et al.  X-ray-based attenuation correction for positron emission tomography/computed tomography scanners. , 2003, Seminars in nuclear medicine.

[10]  Yi Lei,et al.  Design of and Experimentation with a Walking Assistance Robot , 2013 .

[11]  Ranko Stevanović,et al.  Handbook of Research on Informatics in Healthcare and Biomedicine , 2006 .

[12]  Jyrki Lötjönen,et al.  A New Method for the Registration of Cardiac PET and MR Images Using Deformable Model Based Segmentation of the Main Thorax Structures , 2001, MICCAI.

[13]  T. Fukami,et al.  Quantitative evaluation of myocardial function by a volume-normalized map generated from relative blood flow. , 2007, Physics in medicine and biology.

[14]  J. Knuuti,et al.  Detects Anatomically and Functionally Significant Coronary Artery Disease Cardiac Positron Emission Tomography / Computed Tomography Imaging Accurately , 2010 .

[15]  Natarajan Sriraam,et al.  Effect of Wavelet Packet Log Energy Entropy on Electroencephalogram (EEG) Signals , 2015 .

[16]  Raj Shekhar,et al.  High-speed registration of three- and four-dimensional medical images by using voxel similarity. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[17]  Kenji Suzuki,et al.  Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector , 2004, IEEE Transactions on Medical Imaging.

[18]  Hanjörg Just,et al.  Fusion imaging: Combined visualization of 3D reconstructed coronary artery tree and 3D myocardial scintigraphic image in coronary artery disease , 1999, The International Journal of Cardiac Imaging.

[19]  Surendra Ranganath,et al.  Contour extraction from cardiac MRI studies using snakes , 1995, IEEE Trans. Medical Imaging.

[20]  呉 景龍.  Technological advancements in biomedicine for healthcare applications , 2013 .

[21]  G Rizzo,et al.  Correlation of SPECT and PET cardiac images by a surface matching registration technique. , 1998, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[22]  Oliver Gaemperli,et al.  Cardiac hybrid imaging. , 2011, European heart journal.

[23]  F. Bengel,et al.  Attenuation Correction in Myocardial Perfusion SPECT/CT: Effects of Misregistration and Value of Reregistration , 2007, Journal of Nuclear Medicine.

[24]  Zeming Zhou,et al.  Cardiac MR image segmentation and left ventricle surface reconstruction based on level set method. , 2005, Studies in health technology and informatics.