A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis.

Tuberous Sclerosis Complex (TSC) is an autosomal dominant disorder caused by mutations in the TSC1 (hamartin) or TSC2 (tuberin) genes, affecting multiple organ systems. A 23-year-old female presented with cosmetic concerns due to malodorous facial plaques and oral papules. Clinical examination revealed characteristic skin manifestations such as facial angiofibromas and hypomelanotic macules. Magnetic Resonance Imaging (MRI) of the brain showed subependymal and subcortical tubers with radial bands, while abdominal ultrasound and Computed Tomography (CT) scans demonstrated bilateral renal angiomyolipomas and pulmonary cystic lesions, suggesting Lymphangioleiomyomatosis (LAM). TSC impacts both children and adults, with significant variability in clinical features, even within families. Early recognition of imaging findings such as radial migration lines and renal angiomyolipomas can significantly improve outcomes. Multimodal imaging is crucial in assessing disease severity and planning appropriate management.

MMSupcon: An image fusion-based multi-modal supervised contrastive method for brain tumor diagnosis.

A host of conditions beyond torsion and epididymo-orchitis may cause acute scrotum, and although US is the primary imaging modality used in evaluation, CT and MRI can be used in conjunction to establish an accurate diagnosis, thereby improving patient care.

High-fidelity square-core multimode fiber imaging with large power capability

Multimodal destination image and user engagement: a sequential research design

Advanced multimodal for Segmentation and Classification of breast cancer with DenseNet and Optimal Attention approach.

Multimodal magnetic resonance imaging synthesis via cross-modal feature fusion and hierarchical feature extraction

Enhancing COVID-19 detection through multimodal CT and X-ray image fusion with anisotropic diffusion and loss-attentional physics-informed neural networks

Multimodal medical image fusion based on edge detection and salient feature extraction

Wavelet Attention is all you need in multimodal medical image fusion

Impaired neurovascular-glymphatic functional association in chronic insomnia: Evidence from multimodal BOLD and DTI imaging.

A hybrid fusion approach combining salience perception and generative adversarial networks for multimodal medical image integration

Learning and encoding semantics for multimodal deformable image registration with weak supervision

Speckle-based image reconstruction via uniform illumination in single multimode fiber endoscopic imaging systems

Anti-PD-L1 immobilization on Fe₃O₄ nanocluster-coated AuNR through terpyridine-gadolinium coordination for multimodal imaging and synergistic tumor therapy.

Aortic mechanical valve prosthesis and elevated transvalvular gradients in a patient with recent cranial trauma: the crucial role of multimodal imaging

A dual-domain mutual compensation network for multi-modality image fusion

CD-GANs : Conditional dynamic training with GANs for enhanced post-gadolinium glioblastoma MRIs.

Clinical and transcranial sonographic correlates of orthostatic hypotension in Parkinson's disease.