GET THE APP

An Overview of Information Technology Effect on Radiology Services
..

Journal of Forensic Research

ISSN: 2157-7145

Open Access

Mini Review - (2023) Volume 14, Issue 2

An Overview of Information Technology Effect on Radiology Services


*Correspondence: Osamu Dazai, Department of Forensic Pathology and Sciences, University of Kyushu, Fukuoka, Japan, Email:
Department of Forensic Pathology and Sciences, University of Kyushu, Fukuoka, Japan

Received: 02-Feb-2023, Manuscript No. jfr-23-91570; Editor assigned: 03-Feb-2023, Pre QC No. P-91570; Reviewed: 15-Feb-2023, QC No. Q-91570; Revised: 20-Feb-2023, Manuscript No. R-91570; Published: 27-Feb-2023 , DOI: 10.37421/2157-7145.2023.14.538
Citation: Dazai, Osamu. â??An Overview of Information Technology Effect on Radiology Services.â? J Forensic Res 14 (2023): 538.
Copyright: © 2023 Dazai O. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Using the most cutting-edge imaging technology, new approaches to personal identification are being investigated. This study may assist in the identification of victims in the event of future major disasters. Advanced imaging for positive identification in forensic pathology has already been the subject of research by means of radiographic image recognition and other identification or authentication methods. For these approaches, data from biological fingerprints are gathered using digital radiography and other cutting-edge imaging methods. Even though it is still in its infancy, picture matching and identification in sophisticated digital images has shown promise for reducing medical errors and identifying specific patients. In the fields of forensic anthropology, forensic odontology, and forensic pathology, these techniques might be useful for making a positive identification.

Keywords

Personal identification • Biological fingerprints • Mass disaster • Post-Mortem computed tomography (PMCT) • Magnetic resonance imaging (MRI) • Digital radiography

Introduction

In forensic anthropology, human remains or bones from a deceased person have been used to analyze human remains for more than a century. Dental records, fingerprinting, and DNA testing are well-known ways to gather sufficient evidence to identify people who have passed away or who have been affected by a disaster. Various scientific anthropologists, legal pathologists, and specialists in radiological innovation likewise utilize bone data to decide age and sex. For the purpose of applying to unsolved cases and human remains, forensic anthropologists, forensic pathologists, and medical examiners are constantly developing standards and methodical analysis techniques [1].

One way to improve forensic personal identification is to develop a quick and accurate identification method that can be used by a small group of professionals on-site after an unexpected mass disaster. When Interpol published standards for disaster victim identification (DVI) in 2000, it acknowledged the difficulty of identifying a disaster victim through visual recognition. The Scientific Working Group for Forensic Anthropology and the Organization of Scientific Area Committees for Forensic Science have worked together since 2008 to organize, establish best practices, and develop a consensus standard for [2].

Literature Review

As a result of the Japanese government's creation of "The Program on Promotion of Policy about Death Investigation" in June 2014, the Act of Promotion of Policy about Death Investigation became law in April 2020. Utilizing scientific methods to ascertain the cause of death, establishing procedures for dental records, and creating databases for the identification of the deceased are among the goals of this program. It is impossible to know when the next major disaster will strike. Inadequate preparation for upcoming major disasters causes the identification of victims to be delayed. Researchers have carefully debated and researched ways to collaborate with police officers and coroners ahead of the next major disaster. This is very important, especially in times of terrorism, earthquakes, tsunamis, floods, and wildfires. The difficulties associated with personal identification are discussed in this article, as are the cutting-edge technologies being developed for radiography authorization and identification. There is a new review with detailed summaries that focuses on radiographic technology and medical physics. This review aims to provide information and points of view on the development of effective and practical procedures for forensic anthropology and pathology [3].

Since the invention of computed radiography, the first successful digital radiographic instrument, in 1983, modern imaging technologies in medically developed nations have evolved entirely digital. We are able to reevaluate a number of successful anthropological and forensic pathology methods thanks to this modification. People who live in countries with advanced medical systems may bring in their own images or have them stored in medical facilities. These photographs cannot be accessed without special authorization and cannot be reused, with the exception of retrospective investigations by a small group of scholars. In addition, these photographs may be deleted after a predetermined retention period as stipulated by national or state law, with the exception of clinically significant or uncommon circumstances. Researchers must respect patients' or victims' privacy. However, guidelines for future major disasters should be discussed, and coroners and relevant organizations should collaborate to coordinate response efforts. The Digital Imaging and Communications in Medicine (DICOM) format and other well-structured digital photos can be easily distributed worldwide [4].

Discussion

After an unexpected mass disaster, researchers from all over the world require a variety of picture databases for DVI. If researchers had access to databases that contained antemortem data, positive identification, in addition to fingerprint and DNA analyses, would be one of the most effective methods for identifying victims of a significant disaster. It is difficult, for instance, to match the body and appearance of fire or tsunami victims. With the exception of a few local databases, open national databases do not exist due to security and ethical concerns. Digital photographs, clinical data, and reports that are already available in hospitals or other medical facilities are also unavailable due to patient privacy. Utilizing information from a patient's clinical records is secret, yet it should be organized in a computerized data set with the goal that it could be made open web-based in a crisis [5].

Ideally, PMCT scans and antemortem CT scans should match in order to determine the cause of death and compare images for the purpose of identifying individuals based on anatomical information. In certain conditions, repositioning is important when the physical area between the PMCT and AMCT has been moved. The cadaver bag's frequency of use is influenced by its posthumous rigidity. Kawazoe et al. proposed an orbitomeatal line-based semi-automatic repositioning method for head CT images. Another possible relocation strategy is to use an anthropological basal line. The imaging repeatability would improve and PMCT could be used to determine the cause of death without harming the deceased if such automation and correction were implemented in CT machines [6].

Ideally, PMCT scans and antemortem CT scans should match in order to determine the cause of death and compare images for the purpose of identifying individuals based on anatomical information. In certain conditions, repositioning is important when the physical area between the PMCT and AMCT has been moved. The cadaver bag's frequency of use is influenced by its posthumous rigidity. Kawazoe et al. proposed an orbitomeatal line-based semi-automatic repositioning method for head CT images. Another possible relocation strategy is to use an anthropological basal line. The imaging repeatability would improve and PMCT could be used to determine the cause of death without harming the deceased if such automation and correction were implemented in CT machines [7].

The primary objective of the study was to use scout images from routine torso CT and brain MRI scans (MRI) to confirm the patient's presence. CT and MRI can complement conventional radiography for postmortem imaging. They produce hundreds to thousands of photos per inspection, and with post-processing; they can reconstruct any cross section. Biometric applications for scout pictures outnumber those for three-dimensional photos. They can also be automatically performed at the beginning of each exam. Scout photos can be used to verify or identify the identities of the deceased using human authentication. In the context of forensic pathology, it is therefore anticipated that these strategies will also be applicable to positive identification and postmortem imaging. However, in the event of a disaster, mobile CT and MRI tracks must be transported to the disaster site from other locations [8,9].

The rapid examination of numerous selected features, which is unmatched by manual methods, makes precision estimation possible with AI. AI research is quickly being adopted by many fields, and it has already begun to be used in medicine. However, its usefulness and resilience are unknown. A computer based intelligence framework can be made involving a numerically solid model for a specific point and prepared with a sufficiently huge example size. It is anticipated that the use of AI will rise, assisting forensic pathologists in estimating a person's age, sexual orientation, the time of death, and the cause of death. However, prior to use, knowledgeable forensic pathologists must reach consensus and consistent agreements [10].

Conclusion

To increase the likelihood that the strategies described in this paper will be used for personal identification, further systematic investigations utilizing permitted databases containing cutting-edge digital photos are required. Legal humanities, criminological pathology, and radiographic acknowledgment and ID techniques are only a couple of the fields in which these methodologies have proactively been created and can be utilized related to each other later on.

Acknowledgement

None.

Conflict of Interest

None.

References

  1. Matsunobu, Yusuke, Junji Morishita, Yosuke Usumoto and Miki Okumura, et al. "Bone comparison identification method based on chest computed tomography imaging." Leg Med 29 (2017): 1-5.
  2. Google Scholar, Crossref, Indexed at

  3. Sonoda, Minoru, Masao Takano, Junji Miyahara and Hisatoyo Kato. "Computed radiography utilizing scanning laser stimulated luminescence." Radiol 148 (1983): 833-838.
  4. Google Scholar, Crossref, Indexed at

  5. Akhlaghi, Mitra, Marzieh Hajibeygi, Nasim Zamani and Behzad Moradi. "Estimation of stature from upper limb anthropometry in Iranian population." J Forensic Leg Med 19 (2012): 280-284.
  6. Google Scholar, Crossref, Indexed at

  7. Morishita, Junji, Shigehiko Katsuragawa, Keisuke Kondo and Kunio Doi, et al. "An automated patient recognition method based on an image‐matching technique using previous chest radiographs in the picture archiving and communication system environment." Med Phys 28 (2001): 1093-1097.
  8. Google Scholar, Crossref, Indexed at

  9. Ueda, Yasuyuki, Junji Morishita, Shohei Kudomi and Katsuhiko Ueda, et al. "Usefulness of biological fingerprint in magnetic resonance imaging for patient verification." Med Biol Eng Comput 54 (2016): 1341-1351.
  10. Google Scholar, Crossref, Indexed at

  11. Ptashne, Mark and Alexander Gann. "Transcriptional activation by recruitment." Nature 386 (1997): 569-577.
  12. Google Scholar, Crossref, Indexed at

  13. Sonoda, Minoru, Masao Takano, Junji Miyahara and Hisatoyo Kato. "Computed radiography utilizing scanning laser stimulated luminescence." Radiology 148 (1983): 833-838.
  14. Google Scholar, Crossref, Indexed at

  15. Lambert, Samuel A.,Arttu Jolma, Laura F. Campitelli and Pratyush K. Das, et al. "The human transcription factors." Cell 172 (2018) 650-665.
  16. Google Scholar, Crossref, Indexed at

  17. Look, A. Thomas. "Oncogenic transcription factors in the human acute leukemias." Science 278 (1997): 1059-1064.
  18. Google Scholar, Crossref, Indexed at

  19. Zaret, Kenneth S. and Jason S. Carroll. "Pioneer transcription factors: Establishing competence for gene expression." Genes Dev 25 (2011): 2227-2241.
  20. Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 1817

Journal of Forensic Research received 1817 citations as per Google Scholar report

Journal of Forensic Research peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward