New imaging techniques and trends in radiology

Review ArticleAçık Erişim

Özet

Radiography is a field of medicine inherently intertwined with technology. The dependency on technology is very high for obtaining images in ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI). Although the reduction in radiation dose is not applicable in US and MRI, advancements in technology have made it possible in CT, with ongoing studies aimed at further optimization. The resolution and diagnostic quality of images obtained through advancements in each modality are steadily improving. Additionally, technological progress has significantly shortened acquisition times for CT and MRI. The use of artificial intelligence (AI), which is becoming increasingly widespread worldwide, has also been incorporated into radiography. This technology can produce more accurate and reproducible results in US examinations. Machine learning offers great potential for improving image quality, creating more distinct and useful imag-es, and even developing new US imaging modalities. Furthermore, AI technologies are increasingly prevalent in CT and MRI for image evaluation, image generation, and enhanced image quality. © 2025, Galenos Publishing House. All rights reserved.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10759Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.4274/dir.2024.242926Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorKantarcı, Mecit
dc.contributor.authorAydın, Sonay
dc.contributor.authorOğul, Hayri
dc.contributor.authorKızılgöz, Volkan
dc.date.accessioned2026-10-18T20:25:54.321511400Z
dc.date.available2026-10-18T20:25:54.321511400Z
dc.date.issued2025
dc.description.abstractRadiography is a field of medicine inherently intertwined with technology. The dependency on technology is very high for obtaining images in ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI). Although the reduction in radiation dose is not applicable in US and MRI, advancements in technology have made it possible in CT, with ongoing studies aimed at further optimization. The resolution and diagnostic quality of images obtained through advancements in each modality are steadily improving. Additionally, technological progress has significantly shortened acquisition times for CT and MRI. The use of artificial intelligence (AI), which is becoming increasingly widespread worldwide, has also been incorporated into radiography. This technology can produce more accurate and reproducible results in US examinations. Machine learning offers great potential for improving image quality, creating more distinct and useful imag-es, and even developing new US imaging modalities. Furthermore, AI technologies are increasingly prevalent in CT and MRI for image evaluation, image generation, and enhanced image quality. © 2025, Galenos Publishing House. All rights reserved.
dc.identifier.doi10.4274/dir.2024.242926
dc.identifier.eissn1305-3612
dc.identifier.endpage517
dc.identifier.issn1305-3825
dc.identifier.issue5
dc.identifier.pmcidPMC12417918
dc.identifier.pmid39817634
dc.identifier.scopus2-s2.0-105015623026
dc.identifier.startpage505
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10759
dc.identifier.volume31
dc.identifier.wosWOS:001567594100001
dc.language.isoen
dc.publisherGalenos Publishing House
dc.relation.ispartofDiagnostic and Interventional Radiology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArthrographic applications
dc.subjectcerebrospinal fluid flowmetry
dc.subjectimaging techniques
dc.subjectmagnetic resonance imaging techniques
dc.subjectmagnetic resonance spectroscopy
dc.subjectArtificial Intelligence
dc.subjectDiagnostic Imaging
dc.subjectHumans
dc.subjectMachine Learning
dc.subjectMagnetic Resonance Imaging
dc.subjectRadiology
dc.subjectTomography, X-Ray Computed
dc.subjectUltrasonography
dc.subjectadult
dc.subjectcerebrospinal fluid
dc.subjectcomputer assisted tomography
dc.subjectdiagnosis
dc.subjectflow measurement
dc.subjecthuman
dc.subjectimage quality
dc.subjectMRI scanner
dc.subjectnuclear magnetic resonance imaging
dc.subjectnuclear magnetic resonance spectroscopy
dc.subjectradiation dose
dc.subjectreview
dc.subjectechography
dc.subjectprocedures
dc.subjectx-ray computed tomography
dc.titleNew imaging techniques and trends in radiology
dc.typeReview Article
dspace.entity.typePublication
rdl.citation.scopus31
rdl.citation.trdizin4
rdl.citation.wos27
rdl.departmentERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ
rdl.departmentATATÜRK ÜNİVERSİTESİ
rdl.departmentANKARA MEDİPOL ÜNİVERSİTESİ
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexTRDIZIN
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)