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International Journal of Clinical & Medical Images

2376-0249

Editorial - International Journal of Clinical & Medical Images (2025) Volume 12, Issue 6

3D and Functional Imaging in Clinical Practice

3D and Functional Imaging in Clinical Practice

Author(s): Schulman Yafia

Perspective

3D and Functional Imaging in Clinical Practice explores how advanced imaging technologies are transforming modern medicine by providing both structural and physiological insights into the human body. Unlike conventional imaging, which primarily offers two-dimensional anatomical views, 3D imaging reconstructs complex structures, allowing clinicians to visualize organs, tissues and vasculature from multiple angles. Functional imaging adds another layer of understanding by assessing physiological processes, such as blood flow, metabolism and tissue viability, making it an indispensable tool for diagnosis, treatment planning and monitoring therapeutic response.

3D imaging techniques, including CT and MRI reconstructions, allow for precise assessment of complex anatomical relationships, aiding surgical planning and minimally invasive interventions. For example, 3D reconstructions of vascular networks or orthopedic structures help surgeons navigate intricate procedures with higher accuracy and reduced complications. Functional imaging modalities, such as PET, SPECT and Functional MRI (fMRI), provide real-time insights into organ activity, perfusion and metabolic processes. These techniques are especially valuable in oncology, cardiology and neurology, where understanding both structure and function is crucial for patient management [1].

The integration of 3D and functional imaging enhances diagnostic precision by combining morphological details with physiological information. Clinicians can identify lesions that may be occult on standard imaging, evaluate the extent of disease involvement and differentiate between active and inactive pathological processes. For instance, in oncology, functional PET-CT allows for precise tumor localization, staging and assessment of treatment response, while fMRI maps brain activity to guide neurosurgical planning. Such integrated imaging facilitates personalized care and informed clinical decision-making.

Technological advancements, including artificial intelligence and software-driven visualization, continue to expand the applications of 3D and functional imaging. AI algorithms aid in image reconstruction, quantification and pattern recognition, improving efficiency and accuracy. As these technologies become more accessible, they promise to redefine clinical workflows, enhance patient outcomes and support precision medicine. 3D and Functional Imaging in Clinical Practice demonstrates how combining anatomy and function into a unified visual framework elevates both diagnosis and treatment in contemporary healthcare [2].

Keywords

3D imaging, Functional imaging, Clinical applications

Acknowledgement

None.

Conflict of Interest

None.

References

  1. Tufail AB, Anwar N, Othman MTB, Ullah I and Khan RA, et al. (2022). Early-stage Alzheimer’s disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domainsSensors22(12): 4609.

Google Scholar Cross Ref Indexed at

  1. Zhang J, Zheng B, Gao A, Feng X and Liang D, et al. (2021). A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classificationMagn Reson Imaging78: 119-126.

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Citations : 293

International Journal of Clinical & Medical Images received 293 citations as per Google Scholar report