Journal ArticleDOI
Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its growing appeal
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This article is published in Information Fusion.The article was published on 2012-01-01. It has received 47 citations till now. The article focuses on the topics: Realm.read more
Citations
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Medical Image Fusion: A survey of the state of the art
TL;DR: In this article, a review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion, concluding that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.
Journal ArticleDOI
Medical image fusion: A survey of the state of the art
TL;DR: In this paper, a review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion, concluding that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.
Journal ArticleDOI
Fusion of multimodal medical images using Daubechies complex wavelet transform - A multiresolution approach
Rajiv Singh,Ashish Khare +1 more
TL;DR: Comparison results prove that performance of the proposed fusion method is better than any of the above existing fusion methods.
Journal ArticleDOI
Multimodal Medical Image Sensor Fusion Framework Using Cascade of Wavelet and Contourlet Transform Domains
TL;DR: A two-stage multimodal fusion framework using the cascaded combination of stationary wavelet transform (SWT) and non sub-sampled Contourlet Transform (NSCT) domains for images acquired using two distinct medical imaging sensor modalities is presented.
Journal ArticleDOI
From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications
TL;DR: A comprehensive survey of multi-scale and non-multi-scale decomposition-based image fusion methods in detail is demonstrated and would form basis for stimulating and nurturing advanced research ideas in image fusion.
References
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Journal ArticleDOI
Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform
TL;DR: A new fusion algorithm for multimodal medical images based on contourlet transform is proposed, which can provide a more satisfactory fusion outcome compared with conventional image fusion algorithms.
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Reirradiation of recurrent high-grade gliomas using amino acid PET (SPECT)/CT/MRI image fusion to determine gross tumor volume for stereotactic fractionated radiotherapy.
Anca L. Grosu,Wolfgang A. Weber,Martina Franz,Sibylle Stärk,Morand Piert,Reinhard Thamm,Hartmut Gumprecht,Markus Schwaiger,Michael Molls,Carsten Nieder +9 more
TL;DR: This first study of biologic imaging optimized SFRT plus temozolomide in recurrent high-grade gliomas demonstrates the feasibility and safety of this approach and confirms a significant survival benefit from multimodal treatment.
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MRI and PET image fusion by combining IHS and retina-inspired models
TL;DR: The proposed algorithm significantly improves the fusion quality in terms of: entropy, mutual information, discrepancy, and average gradient; compared to fusion methods including, IHS, Brovey, discrete wavelet transform (DWT), a-trous wavelet and RIM.
Journal ArticleDOI
Medical image fusion by wavelet transform modulus maxima.
TL;DR: A novel method for multimodality medical image fusion is proposed using wavelet transform and fusion rule is proposed and used for calculating the wavelet transformation modulus maxima of input images at different bandwidths and levels.
Journal ArticleDOI
Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET/CT fusion.
Adam C. Riegel,Anthony M. Berson,Sylvie Destian,Sylvie Destian,Tracy Ng,Lawrence B. Tena,Robin J. Mitnick,Robin J. Mitnick,Ping S. Wong +8 more
TL;DR: The need for delineation protocol in head-and-neck cancer treatment planning by use of positron emission tomography (PET) fusion imaging has been confirmed and significant differences in GTV delineation were found between multiple observers contouring on PET/CT fusion.