International Journal on Science and Technology
E-ISSN: 2229-7677
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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3D and 4D Medical Image Fusion for Dynamic Analysis
| Author(s) | Prof. Fadwa Joma Abuhbail |
|---|---|
| Country | India |
| Abstract | The fusion of high-resolution 3D anatomical images with dynamic 4D functional datasets addresses a critical need in clinical analysis, combining detailed structure with temporal motion information. This paper proposes a novel framework for 3D/4D fusion, employing a multi-stage process involving non-rigid deformable registration to align a static 3D Contrast-Enhanced CT (CE-CT) volume to each time-point of a 4D Ultrasound (4D-US) sequence, followed by a wavelet-based fusion algorithm to integrate complementary information. The technique was evaluated on a clinical dataset of 10 patients for liver respiratory motion analysis. Quantitative results demonstrated a significant reduction in target registration error (TRE) from 4.2mm (±1.1mm) to 1.1mm (±0.3mm). A comparative analysis against weighted average and PCA-based fusion methods showed the proposed technique's superiority, achieving higher Mutual Information and superior qualitative scores from radiologists. The fused images provided enhanced visualization of tumor boundaries and vascular structures throughout the respiratory cycle, offering a composite view unattainable by either modality alone. We conclude that the proposed 3D/4D image fusion framework is a powerful and effective tool for enhancing dynamic analysis in clinical applications such as radiotherapy planning and image-guided surgery. |
| Keywords | Medical Image Fusion, 4D Imaging, Dynamic Analysis, Deformable Registration, Wavelet Transform, Radiotherapy Planning. |
| Field | Medical / Pharmacy |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-30 |
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10.71097/IJSAT
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