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Journal articles on the topic 'Imaging methodologies'

Author: Grafiati

Published: 19 October 2024

Last updated: 19 July 2025

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1

Smith, Sarah E., Brian D. Slaughter, and Jay R. Unruh. "Imaging methodologies for systems biology." Cell Adhesion & Migration 8, no. 5 (2014): 468–77. http://dx.doi.org/10.4161/cam.29152.

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2

López, Claudia S., Kevin Loftis, Guillaume Thibault, et al. "Correlation Of Imaging Technologies: Methodologies." Microscopy and Microanalysis 25, S2 (2019): 2678–79. http://dx.doi.org/10.1017/s1431927619014120.

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3

Pogue, Brian W., Summer L. Gibbs-Strauss, Pablo A. Valdés, Kimberley S. Samkoe, David W. Roberts, and Keith D. Paulsen. "Review of Neurosurgical Fluorescence Imaging Methodologies." IEEE Journal of Selected Topics in Quantum Electronics 16, no. 3 (2010): 493–505. http://dx.doi.org/10.1109/jstqe.2009.2034541.

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4

MacDonald, A. B. "Borrelia burgdorferi tissue morphologies and imaging methodologies." European Journal of Clinical Microbiology & Infectious Diseases 32, no. 8 (2013): 1077–82. http://dx.doi.org/10.1007/s10096-013-1853-5.

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5

Pogue, Brian W., Summer Gibbs-Strauss, Pablo A. Valdés, Kimberley Samkoe, David W. Roberts, and Keith D. Paulsen. "Correction to “Review of Neurosurgical Fluorescence Imaging Methodologies”." IEEE Journal of Selected Topics in Quantum Electronics 16, no. 6 (2010): 1847. http://dx.doi.org/10.1109/jstqe.2010.2084074.

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6

Takeda, Mitsuo, Wolfgang Osten, and Eriko Watanabe. "Holographic 3D Imaging through Random Media: Methodologies and Challenges." Light: Advanced Manufacturing 3 (2022): 1. http://dx.doi.org/10.37188/lam.2022.014.

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7

Magno, Cathryn, and Jackie Kirk. "Imaging girls: visual methodologies and messages for girls' education." Compare: A Journal of Comparative and International Education 38, no. 3 (2008): 349–62. http://dx.doi.org/10.1080/03057920802066667.

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8

Liu, Shu-Lin, Zhi-Gang Wang, Hai-Yan Xie, An-An Liu, Don C. Lamb, and Dai-Wen Pang. "Single-Virus Tracking: From Imaging Methodologies to Virological Applications." Chemical Reviews 120, no. 3 (2020): 1936–79. http://dx.doi.org/10.1021/acs.chemrev.9b00692.

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9

Smith, Louise E., Rod Smallwood, and Sheila Macneil. "A comparison of imaging methodologies for 3D tissue engineering." Microscopy Research and Technique 73, no. 12 (2010): 1123–33. http://dx.doi.org/10.1002/jemt.20859.

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Li, Gan, Michael S. Westphall, Austin Z. Salome, Kenneth W. Lee, Joshua J. Coon, and Timothy Grant. "New methodologies for preparing and imaging cryo-EM samples." Acta Crystallographica Section A Foundations and Advances 79, a1 (2023): a159. http://dx.doi.org/10.1107/s2053273323098406.

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P., A. Monisha, and S. Sukumaran Dr. "Exploring DL Methodologies for Medical Imaging: A Comprehensive Study." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 1123–30. https://doi.org/10.5281/zenodo.14949834.

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In the field of Medical Image Analysis information stays extracted from medical Image including MRIs, CT scans and X-rays, utilizing computational technique. This paper's objective is to provide an extensive overview of DL approaches for biomedical analysis of images. It covers multiple technologies established in analysis of medical images using DL approaches applicable for multiple recognition of patterns tasks. This recognition of pattern problems includes detection, segmentation, registration and classification. It gives a summary of the Several deep learning deep learning methodologies, i

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Tanaka, Hidekazu, and Zahra Sharif Khodaei. "Reliability Assessment of SHM Methodologies for Damage Detection." Key Engineering Materials 713 (September 2016): 244–47. http://dx.doi.org/10.4028/www.scientific.net/kem.713.244.

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Probability-based imaging which illustrates a distribution map of probability of damage presence in structures is a diagnostic method well established for damage detection in sensorized structures. Since the quality of the recorded signal is directly linked to the reliability of the diagnostic outcome, the assessment of robustness of the damage detection methodology is of high significance. In this paper, robustness and reliability of the current probability based imaging algorithms have been assessed for detecting BVID in a composite panel. Consequently, a proposed outlier analysis and DI pro

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Waheed, Syed Hamza, Saeedeh Mirbagheri, Shruti Agarwal, et al. "Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies." Brain Connectivity 6, no. 9 (2016): 663–68. http://dx.doi.org/10.1089/brain.2016.0446.

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Russo, Valentina, and Luisa Di Paola. "Chemical reaction engineering methodologies for post-contrastographic biomedical imaging analysis." Asia-Pacific Journal of Chemical Engineering 9, no. 3 (2014): 354–63. http://dx.doi.org/10.1002/apj.1803.

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15

Abdulaziz, Marwa, Emily G. Deegan, Alex Kavanagh, Lynn Stothers, Denise Pugash, and Andrew Macnab. "Advances in basic science methodologies for clinical diagnosis in female stress urinary incontinence." Canadian Urological Association Journal 11, no. 6S2 (2017): 117. http://dx.doi.org/10.5489/cuaj.4583.

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We provide an overview of advanced imaging techniques currently being explored to gain greater understanding of the complexity of stress urinary incontinence (SUI) through better definition of structural anatomic data. Two methods of imaging and analysis are detailed for SUI with or without prolapse: 1) open magnetic resonance imaging (MRI) with or without the use of reference lines; and 2) 3D reconstruction of the pelvis using MRI. An additional innovative method of assessment includes the use of near infrared spectroscopy (NIRS), which uses non-invasive photonics in a vaginal speculum to obj

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16

Moran, Patrick, and Brittany Coats. "Biological Sample Preparation for SEM Imaging of Porcine Retina." Microscopy Today 20, no. 2 (2012): 28–31. http://dx.doi.org/10.1017/s1551929511001374.

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Sample preparation is a critical step in scanning electron microscopy (SEM) imaging. This is especially true for biological samples because of charge build-up and sensitivity to vacuum and electron beam damage. In terms of ultrastructure imaging, a variety of advancements in detectors and approaches have improved biological imaging such that fewer steps are required for sample preparation. However, the conventional approach incorporating osmium tetroxide fixing, ethanol dehydrating, critical-point drying, and coating still finds useful application. This paper evaluates three biological sample-

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17

Ogundairo, Oluwatosin, Oluwatoyin Ayo Farai, Chinedu Paschal Maduka, Chiamaka Chinaemelum Okongwu, Abdulraheem Olaide Babarinde, and Olamide Tolulope Sodamade. "Review on MALDI Imaging for Direct Tissue Imaging and its Application in Pharmaceutical Research." International Journal of Research and Scientific Innovation X, no. XII (2024): 130–41. http://dx.doi.org/10.51244/ijrsi.2023.1012011.

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Matrix-Assisted Laser Desorption/Ionization (MALDI) imaging has emerged as a powerful analytical technique, enabling direct tissue imaging in pharmaceutical research. This review provides an in-depth exploration of the principles, methodologies, and applications of MALDI imaging in the context of studying drug distribution and molecular changes within tissues. provides a structured approach to exploring the principles, methodologies, applications, challenges, and future directions of MALDI Imaging in pharmaceutical research. Each section aims to contribute to a comprehensive understanding of t

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18

Erwin, Roland J., and Stephen M. Rao. "Convergence of Functional Magnetic Resonance Imaging and Event-Related Potential Methodologies." Brain and Cognition 42, no. 1 (2000): 53–55. http://dx.doi.org/10.1006/brcg.1999.1160.

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19

Chen, Zhaolin, Sharna D. Jamadar, Shenpeng Li, et al. "From simultaneous to synergistic MR‐PET brain imaging: A review of hybrid MR‐PET imaging methodologies." Human Brain Mapping 39, no. 12 (2018): 5126–44. http://dx.doi.org/10.1002/hbm.24314.

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20

Silva, Francisco, Maria Paula Cabral Campello, and António Paulo. "Radiolabeled Gold Nanoparticles for Imaging and Therapy of Cancer." Materials 14, no. 1 (2020): 4. http://dx.doi.org/10.3390/ma14010004.

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In the Last decades, nanotechnology has provided novel and alternative methodologies and tools in the field of medical oncology, in order to tackle the issues regarding the control and treatment of cancer in modern society. In particular, the use of gold nanoparticles (AuNPs) in radiopharmaceutical development has provided various nanometric platforms for the delivery of medically relevant radioisotopes for SPECT/PET diagnosis and/or radionuclide therapy. In this review, we intend to provide insight on the methodologies used to obtain and characterize radiolabeled AuNPs while reporting relevan

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21

Pereira, Ana Inês, Pedro Franco-Gonçalo, Pedro Leite, et al. "Artificial Intelligence in Veterinary Imaging: An Overview." Veterinary Sciences 10, no. 5 (2023): 320. http://dx.doi.org/10.3390/vetsci10050320.

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Artificial intelligence and machine learning have been increasingly used in the medical imaging field in the past few years. The evaluation of medical images is very subjective and complex, and therefore the application of artificial intelligence and deep learning methods to automatize the analysis process would be very beneficial. A lot of researchers have been applying these methods to image analysis diagnosis, developing software capable of assisting veterinary doctors or radiologists in their daily practice. This article details the main methodologies used to develop software applications

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22

Khodadad, Davood. "Digital Holography and Its Application." Applied Sciences 14, no. 23 (2024): 11254. https://doi.org/10.3390/app142311254.

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23

Caredda, Charly, Laurent Mahieu-Williame, Raphaël Sablong, et al. "Intraoperative Resting-State Functional Connectivity Based on RGB Imaging." Diagnostics 11, no. 11 (2021): 2067. http://dx.doi.org/10.3390/diagnostics11112067.

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RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based and resting-state procedures. Magnetic resonance imaging (fMRI) and functional near infra-red spectroscopy (fNIRS) resting-state procedures cannot be used intraoperatively but RGB imaging provides an ideal solution to identify resting-state networks during a neurosurgical operation. We applied resting-state methodologies to intraoperative RGB imaging and evaluated their ability to identify resting-state networks. We adap

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24

Karargyris, A., and N. Bourbakis. "Wireless Capsule Endoscopy and Endoscopic Imaging: A Survey on Various Methodologies Presented." IEEE Engineering in Medicine and Biology Magazine 29, no. 1 (2010): 72–83. http://dx.doi.org/10.1109/memb.2009.935466.

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25

Tsingas, Constantine, and Antonis Vafidis. "Workshop on Practical Methodologies for Seismic Imaging and Reservoir Characterization in review." First Break 15, no. 2 (1997): 57–58. http://dx.doi.org/10.1046/j.1365-2397.1997.d01-140.x.

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26

Morsch, Marco, Filip Braet, and Delfine Cheng. "Foreword to the special issue on zebrafish imaging: Emerging techniques and methodologies." Micron 136 (September 2020): 102877. http://dx.doi.org/10.1016/j.micron.2020.102877.

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27

Schlücker, Sebastian, Michael D. Schaeberle, Scott W. Huffman, and Ira W. Levin. "Raman Microspectroscopy: A Comparison of Point, Line, and Wide-Field Imaging Methodologies." Analytical Chemistry 75, no. 16 (2003): 4312–18. http://dx.doi.org/10.1021/ac034169h.

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28

Francis, Susan T., and Sally Eldeghaidy. "Imaging methodologies and applications for nutrition research: what can functional MRI offer?" Proceedings of the Nutrition Society 74, no. 2 (2014): 89–98. http://dx.doi.org/10.1017/s0029665114001530.

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Food intake is influenced by a complex regulatory system involving the integration of a wide variety of sensory inputs across multiple brain areas. Over the past decade, advances in neuroimaging using functional MRI (fMRI) have provided valuable insight into these pathways in the human brain. This review provides an outline of the methodology of fMRI, introducing the widely used blood oxygenation level-dependent contrast for fMRI and direct measures of cerebral blood flow using arterial spin labelling. A review of fMRI studies of the brain's response to taste, aroma and oral somatosensation, a

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29

Babu, K. N., A. K. Mathur, David R. Thompson, et al. "An Empirical Comparison of Calibration and Validation Methodologies for Airborne Imaging Spectroscopy." Current Science 116, no. 7 (2019): 1101. http://dx.doi.org/10.18520/cs/v116/i7/1101-1107.

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30

Arias, José L. "Advanced methodologies to formulate nanotheragnostic agents for combined drug delivery and imaging." Expert Opinion on Drug Delivery 8, no. 12 (2011): 1589–608. http://dx.doi.org/10.1517/17425247.2012.634794.

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31

Bonney, Phillip A., Brian P. Walcott, Parampreet Singh, Peggy L. Nguyen, Nerses Sanossian, and William J. Mack. "The Continued Role and Value of Imaging for Acute Ischemic Stroke." Neurosurgery 85, suppl_1 (2019): S23—S30. http://dx.doi.org/10.1093/neuros/nyz068.

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Abstract Advances in neuroimaging in the last 2 decades have revolutionized the management of acute ischemic stroke (AIS). Here we review the development of computed tomography (CT) and magnetic resonance imaging (MRI) modalities used to guide treatment of patients with AIS characterized by large vessel occlusion. In particular, we highlight recent randomized trials and their patient selection methodologies to detail the progression of these selection paradigms. With advanced imaging, distinction between at-risk penumbra and ischemic core in AIS may be performed using either CT or MRI. While l

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32

Hoa, Ombeline, Chrystel Lafont, Pierre Fontanaud, et al. "Imaging and Manipulating Pituitary Function in the Awake Mouse." Endocrinology 160, no. 10 (2019): 2271–81. http://dx.doi.org/10.1210/en.2019-00297.

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Abstract Extensive efforts have been made to explore how the activities of multiple brain cells combine to alter physiology through imaging and cell-specific manipulation in different animal models. However, the temporal regulation of peripheral organs by the neuroendocrine factors released by the brain is poorly understood. We have established a suite of adaptable methodologies to interrogate in vivo the relationship of hypothalamic regulation with the secretory output of the pituitary gland, which has complex functional networks of multiple cell types intermingled with the vasculature. These

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33

Weinstein, Milton C. "Methodologic Considerations in Planning Clinical Trials of Cost-Effectiveness of Magnetic Resonance Imaging With a Commentary on Guyatt and Drummond." International Journal of Technology Assessment in Health Care 1, no. 3 (1985): 567–81. http://dx.doi.org/10.1017/s0266462300001483.

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The purpose of this paper is to outline some of the key methodologic issues in designing clinical trials to assess the cost-effectiveness of clinical magnetic resonance imaging (MRI). Because the possible objectives of such trials are so diverse, and the appropriate methodologies correspondingly numerous, no attempt is made to identify a single objective or methodology as appropriate. Rather, this paper should be read as an “options paper,” in which alternative formulations of objectives, outcome measures, study design, and protocol instrumentation are reviewed, with critical discussion of the

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34

Vasil'evskaya, Mariya, and Aleksey Caplin. "The Development of a Diagnostics Complex for the Metro Electric Rolling Stock Using Thermal Imaging and Electronic Devices." Bulletin of scientific research results 2025, no. 2 (2025): 133–44. https://doi.org/10.20295/2223-9987-2025-2-133-144.

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Purpose: To develop a concept for a diagnostics complex for the electric rolling stock in the Metro system using thermal imaging and electronic means. To investigate the implementation of modern non-destructive testing methods, including thermal imaging and artificial intelligence (AI) technologies for the diagnostics of the Metro electric rolling stock. To demonstrate the advantages of the aforementioned methods in comparison with traditional approaches. To justify their application for improving the rolling stock operation safety and efficiency. Methods: Analysis of the contemporary methodol

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35

Wouters, Bradly G. "Proteomics: Methodologies and Applications in Oncology." Seminars in Radiation Oncology 18, no. 2 (2008): 115–25. http://dx.doi.org/10.1016/j.semradonc.2007.10.008.

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36

Giansanti, Daniele. "Revolutionizing Medical Imaging: The Transformative Role of Artificial Intelligence in Diagnostics and Treatment." Diagnostics 15, no. 12 (2025): 1557. https://doi.org/10.3390/diagnostics15121557.

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37

Ng, Vivian G., and Alexandra J. Lansky. "Novel QCA methodologies and angiographic scores." International Journal of Cardiovascular Imaging 27, no. 2 (2011): 157–65. http://dx.doi.org/10.1007/s10554-010-9787-9.

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38

Balki, Indranil, Afsaneh Amirabadi, Jacob Levman, et al. "Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review." Canadian Association of Radiologists Journal 70, no. 4 (2019): 344–53. http://dx.doi.org/10.1016/j.carj.2019.06.002.

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Purpose The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies in ML applied to medical imaging and to propose recommendations for future work in the field. Methods We conducted a systematic literature search of articles using Medline and Embase with keywords including “machine learning,” “image,” and “sample size.” The search included articles published between 1946 and 2018. Data regarding the ML task, sampl

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39

Vecchiato, Giovanni, Laura Astolfi, Fabrizio De Vico Fallani, et al. "On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research." Computational Intelligence and Neuroscience 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/643489.

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Here we present an overview of some published papers of interest for the marketing research employing electroencephalogram (EEG) and magnetoencephalogram (MEG) methods. The interest for these methodologies relies in their high-temporal resolution as opposed to the investigation of such problem with the functional Magnetic Resonance Imaging (fMRI) methodology, also largely used in the marketing research. In addition, EEG and MEG technologies have greatly improved their spatial resolution in the last decades with the introduction of advanced signal processing methodologies. By presenting data ga

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40

Nerella, Sridhar Goud, Ahana Bhattacharya, Pavitra S. Thacker, and Sanam Tulja. "Synthetic methodologies and PET imaging applications of fluorine-18 radiotracers: a patent review." Expert Opinion on Therapeutic Patents 32, no. 4 (2022): 455–73. http://dx.doi.org/10.1080/13543776.2022.2032649.

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41

Sargent, D. J., L. Rubinstein, L. Schwartz, et al. "Validation of novel imaging methodologies for use as cancer clinical trial end-points." European Journal of Cancer 45, no. 2 (2009): 290–99. http://dx.doi.org/10.1016/j.ejca.2008.10.030.

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42

Francis, Susan T., and Sally Eldeghaidy. "Imaging methodologies and applications for nutrition research: what can functional MRI offer? – ERRATUM." Proceedings of the Nutrition Society 74, no. 2 (2015): 185. http://dx.doi.org/10.1017/s002966511400175x.

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43

Alali, Sanaz, and Alex Vitkin. "Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment." Journal of Biomedical Optics 20, no. 6 (2015): 061104. http://dx.doi.org/10.1117/1.jbo.20.6.061104.

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44

Lara Hernandez, Karen Andrea, Theresa Rienmüller, Daniela Baumgartner, and Christian Baumgartner. "Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability." Computers in Biology and Medicine 130 (March 2021): 104200. http://dx.doi.org/10.1016/j.compbiomed.2020.104200.

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45

Lee, Hyochul, Roh-Eul Yoo, and Seung Hong Choi. "Glymphatic Magnetic Resonance Imaging: Part I—Methodologies for Evaluation of the Glymphatic System." Investigative Magnetic Resonance Imaging 27, no. 4 (2023): 196. http://dx.doi.org/10.13104/imri.2023.0031.

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46

Researcher. "STRUCTURAL DAMAGE ASSESSMENT IN REINFORCED CONCRETE WALLS SUBJECTED TO BLAST-INDUCED IMPACTS USING ADVANCED DIAGNOSTIC IMAGING TECHNIQUES." International Journal of Impact Engineering (IJIE) 2, no. 1 (2025): 1–6. https://doi.org/10.5281/zenodo.14717291.

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Blast-induced impacts on reinforced concrete walls pose significant threats to structural integrity. Advanced diagnostic imaging techniques offer innovative solutions for assessing and quantifying such damage, providing critical insights for repair and retrofit strategies. This study explores these imaging techniques and their efficacy in identifying, characterizing, and modeling damage under extreme conditions. A thorough review of the literature, experimental data, and imaging methodologies underscores the importance of integrating modern diagnostics into structural health monitoring framewo

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47

Yang, Xinhai. "Comparison of Supervised Learning and Unsupervised Learning in the Diagnosis of Medical Imaging Diseases." Applied and Computational Engineering 145, no. 1 (2025): 164–69. https://doi.org/10.54254/2755-2721/2025.22239.

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Medical image registration represents a pivotal element in the field of disease image analysis, acting as the essential precursor for a multitude of sophisticated analytical tasks. In recent years, traditional methodologies have encountered significant challenges in meeting the evolving demands of clinical practice. In contrast, deep learning-based strategies have emerged as powerful alternatives, showcasing their ability to facilitate more rapid and accurate registration processes, thereby exerting a profound impact on clinical applications. Within the specialized domain of medical imaging, t

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48

Yu, Mengdi, Xuan Liu, Shuqiong Wang, et al. "Application of NIR Fluorescent Materials in Imaging and Treatment of Tumors of Different Depths." Nanomaterials 15, no. 11 (2025): 811. https://doi.org/10.3390/nano15110811.

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Deep-seated tumors present significant diagnostic challenges and pose substantial mortality risks due to their occult anatomical localization. Current diagnostic paradigms predominantly depend on conventional imaging modalities; nevertheless, inherent technical constraints persistently compromise diagnostic precision and therapeutic efficacy. In contrast to traditional methodologies, near-infrared (NIR; 700–1700 nm) fluorescence imaging (FLI) demonstrates superior sensitivity and spatiotemporal resolution, facilitating real-time intraoperative visualization and precision-guided surgical interv

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49

Cereda, Maurizio, Yi Xin, Alberto Goffi, et al. "Imaging the Injured Lung." Anesthesiology 131, no. 3 (2019): 716–49. http://dx.doi.org/10.1097/aln.0000000000002583.

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Abstract Acute respiratory distress syndrome (ARDS) consists of acute hypoxemic respiratory failure characterized by massive and heterogeneously distributed loss of lung aeration caused by diffuse inflammation and edema present in interstitial and alveolar spaces. It is defined by consensus criteria, which include diffuse infiltrates on chest imaging—either plain radiography or computed tomography. This review will summarize how imaging sciences can inform modern respiratory management of ARDS and continue to increase the understanding of the acutely injured lung. This review also describes ne

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50

Chen, Pei-Ju, Yan Li, and Chi-Hon Lee. "Calcium Imaging of Neural Activity in Fly Photoreceptors." Cold Spring Harbor Protocols 2022, no. 7 (2022): pdb.top107800. http://dx.doi.org/10.1101/pdb.top107800.

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Functional imaging methodologies allow researchers to simultaneously monitor the neural activities of all single neurons in a population, and this ability has led to great advances in neuroscience research. Taking advantage of a genetically tractable model organism, functional imaging in Drosophila provides opportunities to probe scientific questions that were previously unanswerable by electrophysiological recordings. Here, we introduce comprehensive protocols for two-photon calcium imaging in fly visual neurons. We also discuss some challenges in applying optical imaging techniques to study

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