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Journal articles on the topic 'DICOM'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Hackländer, Thomas, Klaus Kleber, Jens Martin, and Heinrich Mertens. "DICOM router." Academic Radiology 12, no. 3 (2005): 385–92. http://dx.doi.org/10.1016/j.acra.2004.11.015.

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2

D’Addazio, Gianmaria, Edit Xhajanka, Tonino Traini, et al. "Accuracy of DICOM–DICOM vs. DICOM–STL Protocols in Computer-Guided Surgery: A Human Clinical Study." Journal of Clinical Medicine 11, no. 9 (2022): 2336. http://dx.doi.org/10.3390/jcm11092336.

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Guided implant surgery can enhance implant placement positioning, increasing predictability and decreasing postoperative complications., To date, the best protocol to be used for template realization is still unknown. Thus, the aim herein was to clinically compare the accuracy of two different protocols. A total of 48 implants were divided into Group A (24 implants), in which a stereolithographic template was realized using the digital imaging and communications in medicine (DICOM) data arrived from cone beam computer tomographies (CBCTs) (patients and prothesis alone), and Group B (24 implant

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3

Yang, Lanqi. "DICOM Standard and Its Application in Radioinformatics." International Journal of Computer Science and Information Technology 2, no. 1 (2024): 384–90. http://dx.doi.org/10.62051/10.62051/ijcsit.v2n1.40.

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The DICOM standard is the emerging standard in the field of medical informatics. It defines the standard network interface and data model makes the medical image equipment manufacturers on the standard network equipment interconnection, simplify the development of various types of medical image, promote open unrelated to the factory of medical digital image transmission and exchange, prompting the image archiving and communication system of PACS (Picture Archiving and Communication Systems) and the combination of various hospital information system HIS (Hospital Information Systems). Radiation

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4

Varma, DanduRavi. "Free DICOM browsers." Indian Journal of Radiology and Imaging 18, no. 1 (2008): 12. http://dx.doi.org/10.4103/0971-3026.38503.

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5

Lefèvre, Jean-Éric. "DICOM, Mode d’emploi." RBM-News 20, no. 10 (1998): 8–12. http://dx.doi.org/10.1016/s0222-0776(00)89016-1.

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6

Lefèvre, Jean-Éric. "DICOM, mode d'emploi." RBM-News 21, no. 1 (1999): 9–12. http://dx.doi.org/10.1016/s0222-0776(99)89005-1.

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7

Parisot, Charles. "The DICOM standard." International Journal of Cardiac Imaging 11, no. 3 (1995): 171–77. http://dx.doi.org/10.1007/bf01143137.

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8

Hussein, Rada, Uwe Engelmann, Andre Schroeter, and Hans-Peter Meinzer. "DICOM Structured Reporting." RadioGraphics 24, no. 3 (2004): 891–96. http://dx.doi.org/10.1148/rg.243035710.

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9

Hussein, Rada, Uwe Engelmann, Andre Schroeter, and Hans-Peter Meinzer. "DICOM Structured Reporting." RadioGraphics 24, no. 3 (2004): 897–909. http://dx.doi.org/10.1148/rg.243035722.

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Caffery, Liam J. "The Role of Standards in Accelerating the Uptake of Artificial Intelligence in Dermatology." Iproceedings 8, no. 1 (2022): e36890. http://dx.doi.org/10.2196/36890.

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Background The use of artificial intelligence (AI) for dermatology is showing great promise in research contexts. However, the clinical use of AI in dermatology is still limited. The uptake of medical imaging standards for dermatology imaging is also limited. Standards adoption is more widespread in other imaging specialties (eg, radiology) as is the clinical use of AI. Digital Image Communication in Medicine (DICOM) is the standard for medical imaging. DICOM standardizes image formats and associated metadata. Further, DICOM facilitates interoperability between actors in the digital health eco

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Gibaud, B. "La contribution de DICOM : le compte rendu structure (DICOM structured reporting)." Journal de Radiologie 85, no. 9 (2004): 1144. http://dx.doi.org/10.1016/s0221-0363(04)76444-6.

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Chabriais, J., and B. Gibaud. "NST3 Le compte rendu structure DICOM (structured reporting ou DICOM SR)." Journal de Radiologie 85, no. 9 (2004): 1531. http://dx.doi.org/10.1016/s0221-0363(04)77762-8.

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13

Burgess, Jeff. "Digital DICOM in Dentistry." Open Dentistry Journal 9, no. 1 (2015): 330–36. http://dx.doi.org/10.2174/1874210601509010330.

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Similar to Medicine, digital communication, information processing, and x-ray imaging have changed the face of dentistry. The incorporation of digital systems into medical and dental practice has necessitated development of a standard that allows reliable transmission of information between the devices taking the images, devices storing the images, and devices displaying the images. This standard is termed as DICOM. The following article briefly reviews how DICOM came about, how dentistry is involved, the various elements that are part of the DICOM system, and how DICOM is currently used in de

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Estrela, Vania V. "DICOM’s Standardization in Histo-Pathology." Medical Technologies Journal 4, no. 3 (2020): 578–79. http://dx.doi.org/10.26415/2572-004x-vol4iss3p578-579.

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Background: The Digital Imaging and Communications in Medicine (DICOM) standard helps to represent, store, and to exchange healthcare images associated with its data. DICOM develops over time and is continuously adapted to match the rigors of new clinical demands and technologies. An uphill battle in this regard is to conciliate new software programs with legacy systems. Methods: This work discusses the essential aspects of the standard and assesses its capabilities and limitations in a multisite, multivendor healthcare system aiming at Whole Slicing Image (WSI) procedures. Selected rele

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15

Chin, Gillian X. M., Marc Greenwood, Jacob Carse, et al. "BT02 Artificial intelligence-ready skin cancer alchemy: transforming routine teledermatology data into metadata-embedded DICOM files." British Journal of Dermatology 191, Supplement_1 (2024): i189—i190. http://dx.doi.org/10.1093/bjd/ljae090.400.

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Abstract Most skin artificial intelligence (AI) classifiers are trained only on images with diagnostic labels. However, the addition of clinical information can improve predictive accuracy. Recent interest has been stimulated in incorporating clinical data into image files, using the well-established international Digital Imaging and Communication in Medicine (DICOM) standards (Caffery L, Weber J, Kurtansky N et al. DICOM in dermoscopic research: experience report and a way forward. J Digit Imaging 2021; 34: 967–73). We have developed an automated process of creating metadata-embedded DICOM fi

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Mileva, Aleksandra, Aleksandar Velinov, Vesna Dimitrova, Luca Caviglione, and Steffen Wendzel. "Information Hiding in the DICOM Message Service and Upper Layer Service with Entropy-Based Detection." Entropy 24, no. 2 (2022): 176. http://dx.doi.org/10.3390/e24020176.

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The DICOM (Digital Imaging and COmmunication in Medicine) standard provides a framework for a diagnostically-accurate representation, processing, transfer, storage and display of medical imaging data. Information hiding in DICOM is currently limited to the application of digital media steganography and watermarking techniques on the media parts of DICOM files, as well as text steganographic techniques for embedding information in metadata of DICOM files. To improve the overall security of the DICOM standard, we investigate its susceptibility to network steganographic techniques. To this aim, w

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17

Miao, Yu, Hua Min Yang, Wei Li Shi, Yan Ni Cao, and Li Yuan Zhang. "Research on Applied Technology in Storing and Transmitting Medical Image Based on DICOM." Advanced Materials Research 1014 (July 2014): 395–98. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.395.

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DICOM is the international standard for the digital imaging communication in medicine. This paper introduces the development of DICOM and analyzes the communication process based on DICOM protocol. Besides, the communication between store SCP and store SCU was designed and implemented.

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18

Liu, Li Jun, and Qing Song Huang. "CloudDICOM: A Large-Scale Online Storage and Sharing System for DICOM Images." Advanced Materials Research 756-759 (September 2013): 2037–41. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2037.

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Online storage and sharing for large-scale DICOM images becomes increasingly important for medical organizations or large hospitals. This paper presents a distributed architecture based on Hadoop and HBase to support online storage and sharing for DICOM images. An experimental system called CloudDICOM is designed and realized based on this architecture. The paper focuses on designing the architecture, workflow, data schema, and then on analyzing the components in CloudDICOM. Firstly, DICOM messages sent by clients will be received, converted and stored into Hadoop and HBase. Then, these messag

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19

Zhang, Menghe, and Jürgen P. Schulze. "Server-Aided 3D DICOM Viewer for Mobile Platforms." Electronic Imaging 2021, no. 13 (2021): 179–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.13.ervr-179.

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Digital Imaging and Communications in Medicine (DICOM) is an international standard to transfer, store, retrieve, print, process and display medical imaging information. It provides a standardized method to store medical images from many types of imaging devices. Typically, CT and MRI scans, which are composed of 2D slice images in DICOM format, can be inspected and analyzed with DICOM-compatible imaging software. Additionally, the DICOM format provides important information to assemble cross-sections into 3D volumetric datasets. Not many DICOM viewers are available for mobile platforms (smart

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20

Karagiannis, Stylianos, Emmanouil Magkos, Christoforos Ntantogian, Ricardo Cabecinha, and Theofanis Fotis. "Cybersecurity and Medical Imaging: A Simulation-Based Approach to DICOM Communication." Applied Sciences 13, no. 18 (2023): 10072. http://dx.doi.org/10.3390/app131810072.

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Medical imaging plays a crucial role in modern healthcare, providing essential information for accurate diagnosis and treatment planning. The Digital Imaging and Communications in Medicine (DICOM) standard has revolutionized the storage, transmission, and sharing of medical images and related data. Despite its advantages, implementation and deployment of the DICOM protocol often suffers from incomplete understanding, leading to vulnerabilities within the healthcare ecosystem. This research paper presents an implementation of DICOM communication and the development of a practical demonstration

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21

NISHIHARA, EITARO. "DICOM, Behind the Scene." Japanese Journal of Radiological Technology 57, no. 3 (2001): 253–57. http://dx.doi.org/10.6009/jjrt.kj00001357493.

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22

Vizza, Patrizia, Giuseppe Lucio Cascini, Rosario Curia, Loredana Sisca, and Filippo Aiello. "Annotation of dicom information." ACM SIGBioinformatics Record 6, no. 2 (2016): 1–2. http://dx.doi.org/10.1145/2983313.2983314.

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23

Chabriais, J., B. Gibaud, F. Aubry, et al. "NST2 Introduction a DICOM." Journal de Radiologie 85, no. 9 (2004): 1531. http://dx.doi.org/10.1016/s0221-0363(04)77761-6.

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24

Flanders, Adam E., and John A. Carrino. "Understanding DICOM and IHE." Seminars in Roentgenology 38, no. 3 (2003): 270–81. http://dx.doi.org/10.1016/s0037-198x(03)00044-0.

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25

Ackerly, T., M. Geso, and R. Smith. "Radiotherapy DICOM packet sniffing." Australasian Physics & Engineering Sciences in Medicine 31, no. 3 (2008): 243–51. http://dx.doi.org/10.1007/bf03179351.

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26

Farman, Allan G. "Applying DICOM to Dentistry." Journal of Digital Imaging 18, no. 1 (2004): 23–27. http://dx.doi.org/10.1007/s10278-004-1029-z.

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27

Potter, Glenn, Rick Busbridge, Michael Toland, and Paul Nagy. "Mastering DICOM with DVTk." Journal of Digital Imaging 20, S1 (2007): 47–62. http://dx.doi.org/10.1007/s10278-007-9057-0.

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28

Suzuki, Makoto. "DICOM Standards Committee Attendance Report—How DICOM Standards are Developed and Maintained—." Japanese Journal of Radiological Technology 64, no. 5 (2008): 658–61. http://dx.doi.org/10.6009/jjrt.64.658.

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29

Langer, Steve G. "A Flexible Database Architecture for Mining DICOM Objects: the DICOM Data Warehouse." Journal of Digital Imaging 25, no. 2 (2011): 206–12. http://dx.doi.org/10.1007/s10278-011-9434-6.

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30

Maruf, Khoirul, and Atit Pertiwi. "Integrasi Picture Archiving and Communication System dengan Modality Radiologi Digital Lama Menggunakan Protokol Digital Imaging and Communications in Medicine Sender dan Mirth Connect." Jurnal Pendidikan dan Teknologi Indonesia 5, no. 1 (2025): 201–8. https://doi.org/10.52436/1.jpti.633.

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Radiologi merupakan cabang ilmu kedokteran yang menggunakan teknologi pencitraan untuk mendiagnosis penyakit. Pada era digital, sebagian besar rumah sakit telah menerapkan teknologi digital dengan format DICOM untuk menyimpan hasil pencitraan radiologi dalam sistem PACS. Namun, modalitas digital lama tanpa fitur protokol DICOM Sender menghadapi kendala dalam mengirimkan gambar ke PACS. Penelitian ini bertujuan untuk mengintegrasikan PACS dengan modalitas digital lama menggunakan fitur protokol DICOM Sender melalui Mirth Connect. Metode penelitian melibatkan konfigurasi Mirth Connect untuk meng

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31

Gideon, Samuel, and Taat Guswantoro. "OPTIMASI CITRA DICOM DENGAN MENGGUNAKAN APLIKASI PADA SMARTPHONE ANDROID." Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 3 (February 28, 2019): 258. http://dx.doi.org/10.20961/prosidingsnfa.v3i0.28558.

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<p class="AbstractEnglish"><strong>Abstract:</strong> A radiographic image is generated from a mapping of attenuation of the X-ray beam that passed through a material. Over the past few years, as computer acquisition technology has grown, conventional diagnostic medical imaging modalities have increasingly been replaced by digital imagery. Computed radiography (CR) is one of radiographic image acquisition using computers. CR images could be either .jpg files or DICOM files. We exposed some wrenches which diameter of 5.68 mm; 3.99 mm and 3.2 mm as well as a bottle and a circul

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32

Vallez, Noelia, Jose Luis Espinosa-Aranda, Anibal Pedraza, Oscar Deniz, and Gloria Bueno. "Deep Learning within a DICOM WSI Viewer for Histopathology." Applied Sciences 13, no. 17 (2023): 9527. http://dx.doi.org/10.3390/app13179527.

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Microscopy scanners and artificial intelligence (AI) techniques have facilitated remarkable advancements in biomedicine. Incorporating these advancements into clinical practice is, however, hampered by the variety of digital file formats used, which poses a significant challenge for data processing. Open-source and commercial software solutions have attempted to address proprietary formats, but they fall short of providing comprehensive access to vital clinical information beyond image pixel data. The proliferation of competing proprietary formats makes the lack of interoperability even worse.

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33

Shahid, Arsalan, Mehran H. Bazargani, Paul Banahan, et al. "A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis." Healthcare 10, no. 5 (2022): 755. http://dx.doi.org/10.3390/healthcare10050755.

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Identification and re-identification are two major security and privacy threats to medical imaging data. De-identification in DICOM medical data is essential to preserve the privacy of patients’ Personally Identifiable Information (PII) and requires a systematic approach. However, there is a lack of sufficient detail regarding the de-identification process of DICOM attributes, for example, what needs to be considered before removing a DICOM attribute. In this paper, we first highlight and review the key challenges in the medical image data de-identification process. In this paper, we develop a

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34

Mahmoud, Rashad, Elhadad Ahmed, and El-Saady Kamal. "A blind steganography approach for hiding privacy details in images of digital imaging and communications in medicine using QR code." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 3721–29. https://doi.org/10.11591/ijece.v12i4.pp3721-3729.

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This study aims to hide patient’s privacy details of digital imaging and communications in medicine (DICOM) files using the quick response (QR) code images with the same size using steganographic technique. The proposed method is based on the properties of the discrete cosine transform (DCT) of the DICOM images to embed a QR code image. The proposed method includes two parts: data embedding and extraction process. Moreover, the stego DICOM image could be blindly used to produce the embedded QR code image without the existence of the original DICOM image. The performances of proposed meth

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35

Chen, Pei Jiang. "Medical Image Display Based on DICOM." Key Engineering Materials 480-481 (June 2011): 932–37. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.932.

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Modern medical diagnose has higher demand for image archiving and communication, the medical image display technology is mainly studied under the Windows platform. According to the analysis of the DICOM 3.0 standards and file formats, the general idea of the conversion from DICOM format to BMP format is proposed. Based on the object-oriented programming idea, a format conversion class called CDicomConvert is designed by using Visual C++. The class encapsulates many data and methods for DICOM image processing, and the class CDib is also improved. The result of the software running shows that it

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36

Siam, Safayat Jamil, Nuruzzaman Faruqui, Nur Farhan Kahar, R. Badlishah Ahmad, Naimah Yaakob, and Ong Bi Lynn. "An Innovative and Secured Framework for DICOM Into EJPEG Conversion." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 4 (2024): 141–61. https://doi.org/10.37934/araset.62.4.141161.

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The standard file format of digital imaging and communications in medicine (DICOM) is typically used for medical imaging. These are not directly viewable by the built-in image viewer of most Operating Systems (OSs) and require additional software support for visualization. At the same time, DICOM images contain sensitive additional information related to the patient’s condition, which is confidential. That is why working with DICOM images imposes additional challenges. An innovative framework has been proposed in this paper that effortlessly converts the DICOM into an Encrypted Joint Photograp

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37

Prabu Shankar, K. C., and S. Prayla Shyry. "A Novel Framework for Securing ECDH Encrypted DICOM Pixel Data Stored Over Cloud Using IPFS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, Supp01 (2023): 135–64. http://dx.doi.org/10.1142/s0218488523400081.

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The future holds the possibility of hospitals sharing medical images obtained through non-invasive systems to patients remotely. The advent of cloud and the storage and deployment of medical healthcare images in the cloud has resulted in the increased need for application of Cryptographic techniques to protect them from unauthorized access and malicious attacks. The Digital Imaging and Communication in Medicine (DICOM) standard is more compatible across medical imaging instruments globally. The pixel data of DICOM images requires more privacy and security. A novel ECDS based cryptographic appr

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38

Lynes, James, and Chris Riha. "Learning the Fundamentals of…DICOM." Biomedical Instrumentation & Technology 38, no. 1 (2004): 35–38. http://dx.doi.org/10.2345/0899-8205(2004)38[35:ltfo]2.0.co;2.

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39

Trianni, Annalisa. "DICOM standards for patient dosimetry." Physica Medica 32 (September 2016): 188. http://dx.doi.org/10.1016/j.ejmp.2016.07.326.

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40

Suzuki, Makoto. "DICOM Standards Committee Attendance Report." Japanese Journal of Radiological Technology 64, no. 6 (2008): 766–67. http://dx.doi.org/10.6009/jjrt.64.766.

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41

Silva, Luís A. Bastião, Carlos Costa, and José Luis Oliveira. "DICOM relay over the cloud." International Journal of Computer Assisted Radiology and Surgery 8, no. 3 (2012): 323–33. http://dx.doi.org/10.1007/s11548-012-0785-3.

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42

Grauer, Dan, Lucia S. H. Cevidanes, and William R. Proffit. "Working with DICOM craniofacial images." American Journal of Orthodontics and Dentofacial Orthopedics 136, no. 3 (2009): 460–70. http://dx.doi.org/10.1016/j.ajodo.2009.04.016.

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43

Yu, Cong, and Zhihong Yao. "XML-Based DICOM Data Format." Journal of Digital Imaging 23, no. 2 (2009): 192–202. http://dx.doi.org/10.1007/s10278-008-9173-5.

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Noumeir, Rita, and Jean-François Pambrun. "Teaching DICOM by Problem Solving." Journal of Digital Imaging 25, no. 5 (2012): 653–61. http://dx.doi.org/10.1007/s10278-012-9471-9.

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45

Langer, Steve G. "DICOM Data Warehouse: Part 2." Journal of Digital Imaging 29, no. 3 (2015): 309–13. http://dx.doi.org/10.1007/s10278-015-9830-4.

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46

Mildenberger, Peter, Marco Eichelberg, and Eric Martin. "Introduction to the DICOM standard." European Radiology 12, no. 4 (2001): 920–27. http://dx.doi.org/10.1007/s003300101100.

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47

Jozić, Krešimir, Nikolina Frid, Alan Jović, and Željka Mihajlović. "DICOM SIVR: A web architecture and platform for seamless DICOM image and volume rendering." SoftwareX 18 (June 2022): 101063. http://dx.doi.org/10.1016/j.softx.2022.101063.

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48

Larobina, Michele. "Thirty Years of the DICOM Standard." Tomography 9, no. 5 (2023): 1829–38. http://dx.doi.org/10.3390/tomography9050145.

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Digital Imaging and Communications in Medicine (DICOM) is an international standard that defines a format for storing medical images and a protocol to enable and facilitate data communication among medical imaging systems. The DICOM standard has been instrumental in transforming the medical imaging world over the last three decades. Its adoption has been a significant experience for manufacturers, healthcare users, and research scientists. In this review, thirty years after introducing the standard, we discuss the innovation, advantages, and limitations of adopting the DICOM and its possible f

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49

Fedorov, Andriy, David Clunie, Ethan Ulrich, et al. "DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research." PeerJ 4 (May 24, 2016): e2057. http://dx.doi.org/10.7717/peerj.2057.

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Background.Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support

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Hazarika, Hirak Jyoti, Akash Handique, and S. Ravikumar S. Ravikumar. "DICOM-based medical image repository using DSpace." Collection and Curation 39, no. 4 (2020): 105–15. http://dx.doi.org/10.1108/cc-11-2019-0039.

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Purpose This paper aims to provide image repository to the medical professional in an open source platform, which will increase the visibility of Digital Imaging and Communication in Medicine (DICOM) image in a network mode; further, the proposed system will reduce the storage cost of the images to significant level. Design/methodology/approach The authors have developed a new institutional repository model for the medical professionals cum radiologists to preserve, store and retrieve medical images from one database with the help of open source software. The authors used JavaScript programmin

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