Secure NIfTI Image Authentication Scheme for Modern Healthcare System
Applied Sciences
; 13(9):5308, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2319360
ABSTRACT
Advances in digital neuroimaging technologies, i.e., MRI and CT scan technology, have radically changed illness diagnosis in the global healthcare system. Digital imaging technologies produce NIfTI images after scanning the patient's body. COVID-19 spared on a worldwide effort to detect the lung infection. CT scans have been performed on billions of COVID-19 patients in recent years, resulting in a massive amount of NIfTI images being produced and communicated over the internet for diagnosis. The dissemination of these medical photographs over the internet has resulted in a significant problem for the healthcare system to maintain its integrity, protect its intellectual property rights, and address other ethical considerations. Another significant issue is how radiologists recognize tempered medical images, sometimes leading to the wrong diagnosis. Thus, the healthcare system requires a robust and reliable watermarking method for these images. Several image watermarking approaches for .jpg, .dcm, .png, .bmp, and other image formats have been developed, but no substantial contribution to NIfTI images (.nii format) has been made. This research suggests a hybrid watermarking method for NIfTI images that employs Slantlet Transform (SLT), Lifting Wavelet Transform (LWT), and Arnold Cat Map. The suggested technique performed well against various attacks. Compared to earlier approaches, the results show that this method is more robust and invisible.
Sciences: Comprehensive Works; NIfTI; watermarking; medical image; slantlet transform (SLT); lifting wavelet transform (LWT); Arnold cat map; Digital imaging; Internet; Wavelet transforms; Telemedicine; Communication; Health care; Medical imaging; Diagnosis; COVID-19; Viral diseases; Lungs; Robustness; Bronchopulmonary infection; Property rights; Intellectual property; Computed tomography; Photographs; Authenticity; Data encryption; Global health; Methods; Patients; Coronaviruses; Information technology; Neuroimaging; Disease transmission
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Applied Sciences
Year:
2023
Document Type:
Article
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