Research on the use of advanced imaging techniques while respecting intellectual property protection
Dan Theodor ANDRONIC, Aurel Mihail TITU
Abstract. The concept of input-output correlation refers to the relationship between information obtained through advanced imaging techniques (input) and clinical outcomes observed after surgical interventions (output). It is an essential component of neurosurgery, with a significant impact on diagnostic processes, therapeutic planning, and patient management. This correlation facilitates a better understanding of brain pathology and contributes to optimising surgical interventions, reducing risks, and improving patient outcomes. This model is based on data analysis and its interpretation in the context of the patient’s health status. In neurosurgery, images obtained with techniques such as MRI (Magnetic Resonance Imaging) or CT (Computed Tomography) are essential for identifying structural abnormalities and assessing patient condition before surgery. The processes of interpreting brain images can include, in addition to identifying lesions, evaluating their impact on brain functions. The neurosurgeon can use MRI data to determine the tumour’s precise location and assess its relationship to adjacent anatomical structures, such as blood vessels and healthy functional brain tissue. This assessment helps plan the surgical intervention, ensuring favourable patient outcomes.
Keywords
Neurosurgery, Advanced Imaging Techniques, Intellectual Property Protection, Surgical Planning, Medical Innovation, Clinical Outcomes, Diagnostic Processes, Patient Management
Published online 1/20/2026, 10 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Dan Theodor ANDRONIC, Aurel Mihail TITU, Research on the use of advanced imaging techniques while respecting intellectual property protection, Materials Research Proceedings, Vol. 61, pp 67-76, 2026
DOI: https://doi.org/10.21741/9781644903995-9
The article was published as article 9 of the book Innovative Manufacturing Engineering and Energy
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] D. Andronic, A. M. Țîțu, and A.-F. Iamandii, “Management of exploration of traumatic injuries through protocols in the field of neurosurgery and the importance of intellectual property in this context.” Journal of Research and Innovation for Sustainable Society, vol. 6, no. 2, p. 7, Nov. 2024, doi: 10.33727/jriss.2024.2.1:7-17.
[2] A. C. Tan, D. M. Ashley, G. Y. López, M. D. Malinzak, H. S. Friedman, and M. Khasraw, “Management of glioblastoma: State of the art and future directions.” CA A Cancer Journal for Clinicians, vol. 70, no. 4. Wiley, p. 299, Jun. 01, 2020. doi: 10.3322/caac.21613.
[3] N. H. Vadhavekar et al., “Advancements in Imaging and Neurosurgical Techniques for Brain Tumor Resection: A Comprehensive Review.” Cureus, vol. 16, no. 10. Cureus, Inc., Oct. 31, 2024. doi: 10.7759/cureus.72745.
[4] D. Andronic and A. M. Țîțu, “Needed To Save A Life, Point Of View From Experience.” Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology, vol. 7, no. 1, p. 10, Jan. 2024, doi: 10.56082/annalsarscieco.2024.1.10.
[5] D. T. Andronic, O. R. Chivu, A. Semenescu, D. F. Marcu, and A. M. Țîțu, “Nonconventional Radiological Technologies And Processes Used For Neurosurgery In Correlation With Intellectual Property Protection With Direct Application In Healthcare Organization.” Jun. 2025. [Online]. Available: https://www.revtn.ro/index.php/revtn/article/view/522
[6] S. Mahboob and S. Eljamel, “Intraoperative image-guided surgery in neuro-oncology with specific focus on high-grade gliomas.” Future Oncology, vol. 13, no. 26. Future Medicine, p. 2349, Nov. 01, 2017. doi: 10.2217/fon-2017-0195.
[7] J. Y. Nam and J. de Groot, “Treatment of Glioblastoma.” Journal of Oncology Practice, vol. 13, no. 10. American Society of Clinical Oncology, p. 629, Oct. 01, 2017. doi: 10.1200/jop.2017.025536.
[8] N. M. Ghadi and N. H. Salman, “Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review,” Journal of Engineering, vol. 28, no. 12. Chulalongkorn University, p. 93, Dec. 01, 2022. doi: 10.31026/j.eng.2022.12.07.
[9] P. T. Krishnan, K. Pradeep, M. Khandelwal, D. Gupta, A. Nihaal, and T. S. Kumar, “Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer.” Frontiers in Neuroinformatics, vol. 18, Jun. 2024, doi: 10.3389/fninf.2024.1414925.
[10] Z. Ali, A. Hamdoun, and A. Alattaya, “Advances in Radiological Techniques for Cancer Diagnosis: A Narrative Review of Current Technologies.” Deleted Journal, vol. 2, no. 1. p. 43, Jan. 01, 2024. doi: 10.61838/kman.hn.2.1.6.
[11] R. Harada, S. Furumoto, Y. Kudo, K. Yanai, V. L. Villemagne, and N. Okamura, “Imaging of Reactive Astrogliosis by Positron Emission Tomography.” Frontiers in Neuroscience, vol. 16. Frontiers Media, p. 807435, Feb. 08, 2022. doi: 10.3389/fnins.2022.807435.
[12] M. Beaurain et al., “Innovative Molecular Imaging for Clinical Research, Therapeutic Stratification, and Nosography in Neuroscience.” Frontiers in Medicine, vol. 6. Frontiers Media, Nov. 27, 2019. doi: 10.3389/fmed.2019.00268.
[13] K.-M. Schebesch et al., “Clinical Benefits of Combining Different Visualization Modalities in Neurosurgery.” Frontiers in Surgery, vol. 6, Oct. 2019, doi: 10.3389/fsurg.2019.00056.
[14] S. A. Abidi et al., “Using Brain Tumor MRI Structured Reporting to Quantify the Impact of Imaging on Brain Tumor Boards.” Tomography, vol. 9, no. 2, p. 859, Apr. 2023, doi: 10.3390/tomography9020070.
[15] E. Çivelek, Y. Akyuva, N. Kaplan, F. Diren, O. Boyalı, and S. Kabataş, “Challenges in the clinical and radiological differential diagnosis of cerebrovascular events and malignant primary brain tumors: reports from a retrospective case series.” Turkish Neurosurgery, Jan. 2020, doi: 10.5137/1019-5149.jtn.30371-20.2.
[16] M. D. Richardson, J. J. Parker, and A. Waziri, “Advances in neurosurgery.” Neurology Clinical Practice, vol. 2, no. 3, p. 201, Sep. 2012, doi: 10.1212/cpj.0b013e31826af22b.
[17] E. Ogando‐Rivas et al., “Evolution and Revolution of Imaging Technologies in Neurosurgery.” Neurologia medico-chirurgica, vol. 62, no. 12, p. 542, Oct. 2022, doi: 10.2176/jns-nmc.2022-0116.
[18] D. Larrivee, New Advances in Magnetic Resonance Imaging. IntechOpen, 2023. doi: 10.5772/intechopen.111259.
[19] W. B. Overcast et al., “Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors.” Current Oncology Reports, vol. 23, no. 3. Springer Science+Business Media, p. 34, Feb. 18, 2021. doi: 10.1007/s11912-021-01020-2.
[20] H. W. Schroeder and L. T. Hall, “Molecular Imaging of Brain Metastases with PET.” in Exon Publications eBooks, 2022, p. 1. doi: 10.36255/exon-publications.metastasis.brain-metastases.
[21] K. L. Cole, M. C. Findlay, M. Kundu, C. M. Johansen, C. Rawanduzy, and B. Lucke–Wold, “The Role of Advanced Imaging in Neurosurgical Diagnosis.” Journal of Modern Medical Imaging, Feb. 2023, doi: 10.53964/jmmi.2023002.
[22] V. Patel and V. Chavda, “Intraoperative glioblastoma surgery-current challenges and clinical trials: An update.” Cancer Pathogenesis and Therapy, vol. 2, no. 4. Elsevier BV, p. 256, Dec. 02, 2023. doi: 10.1016/j.cpt.2023.11.006.
[23] T. Gárzón-Muvdi, C. Kut, X. Li, and K. L. Chaichana, “Intraoperative imaging techniques for glioma surgery.” Future Oncology, vol. 13, no. 19. Future Medicine, p. 1731, Aug. 01, 2017. doi: 10.2217/fon-2017-0092.
[24] D. Andronic and A. M. Țîțu, “Management Of Imaging Evaluation Criteria In Pediatric Cases In Conjunction With Intellectual Property Protection.” Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology, vol. 8, no. 3, p. 4, Jan. 2025, doi: 10.56082/annalsarscieco.2025.3.4.
[25] D. Andronic and A. M. Țîțu, “Intellectual Property Protection in Modern Medical Services: Neurosurgery Versus Fine Mechanics.” in Lecture notes in networks and systems, Springer International Publishing, 2025, p. 335. doi: 10.1007/978-3-031-95194-7_33.
[26] D. Andronic, A. M. Țîțu, and F. A. Iamandii, “Quality Management Implementation Systems Using The Principles Of Intellectual Property In Modern Health Systems.” Review of Management and Economic Engineering, vol. 23, no. 4, p. 264, Dec. 2024, doi: 10.71235/rmee.186.
[27] M. A. Ţîţu and D. Andronic, “Intellectual Property Applied To Medical Imaging Systems In Present Context.” Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology, vol. 6, no. 2, p. 22, Dec. 2023, doi: 10.56082/annalsarscieco.2023.2.22.
