Abstract

With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical imaging modality might face challenges, due to the deep positioning of the lesions, operation history and the specific background conditions of the liver disease. Image fusion technology has been employed to address these challenges. Using the image fusion technology, one could obtain real-time anatomical imaging superimposed by functional images showing the same plane to facilitate the diagnosis and treatments of liver tumors. This paper presents a review of the key principles of image fusion technology, its application in tumor treatments, particularly in liver tumors, and concludes with a discussion of the limitations and prospects of the image fusion technology.

Highlights

  • Medical imaging equipment has developed rapidly in the last decade, with widespread usage in clinical diagnosis and treatment

  • 5, which compares the accuracy of the fused image of we show an example in Figure 5, which compares the accuracy of the fused image of positron emission tomography (PET)/Magnetic resonance imaging (MRI) and MRIidentification in the correct of identification of liver a patient with liverThe lesions single modal in modal the correct a patient with lesions from The this data from this study indicate that the fusion of can increase the identification rate of the study indicate that the fusion of PET/MRI can increase the identification rate of the liver malignant liver malignant lesion from lesion from 94.4% to 100%

  • In the modern clinical practices, physicians have a higher demand on the accuracy and efficiency of a visually-aided medical diagnostic system

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Summary

Introduction

Medical imaging equipment has developed rapidly in the last decade, with widespread usage in clinical diagnosis and treatment. The functional imaging mode mainly provides functional metabolic information One such method is single photon emission computed tomography (SPECT). SPECT imaging instruments provide three-dimensional (tomographic) images of the distribution of radioactive tracer molecules introduced into the body which is generated from multiple 2D images of the body at different angles [3] Another widely used method in this mode is positron emission tomography (PET). An optimal combination of these methods can allow a simultaneous expression of information from various aspects of the human body within a single image Such an image can accurately reflect internal structure and function, in turn providing physiological and pathological information.

Medical Imaging Methods
Ultrasonography and Contrast-Enhanced Ultrasonography
General Procedure of Medical Image Fusion
Imaging Fusion Algorithms
Arithmetic Combination
Principal Component Analysis
Method
Wavelet Transformation Based Methods
Pulse-Coupled
Image feature extractionusing usingPCNN
Representation
Fuzzy Logic Based Methods
Sparse Representation and Compressive Sensing Based Methods
Edge-Preserving Based Methods
4.10.1. Convolutional Neural Networks
4.10.2. Convolutional Sparse Representation
4.10.3. Stacked Autoencoders
4.11. Image Fusion Indicators
Clinical Applications of Image Fusion in Liver Cancer Diagnosis and Treatment
Surgical Operation Assistance
Findings
Methods

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