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Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Chengxi Li, Andrew X. Zhu

2020Applied Sciences38 citationsDOIOpen Access PDF

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.

Topics & Concepts

Image fusionMedicineModality (human–computer interaction)Liver cancerRadiofrequency ablationArtificial intelligenceRadiologyComputer scienceComputer visionAblationHepatocellular carcinomaImage (mathematics)Cancer researchInternal medicineAdvanced Image Fusion TechniquesMedical Image Segmentation TechniquesBrain Tumor Detection and Classification
Application of Image Fusion in Diagnosis and Treatment of Liver Cancer | Litcius