New Frontiers in Oncological Imaging With Computed Tomography: From Morphology to Function

IF 1.5 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Seminars in Ultrasound Ct and Mri Pub Date : 2023-06-01 DOI:10.1053/j.sult.2023.03.009
Andrea Agostini MD , Alessandra Borgheresi MD , Francesco Mariotti MP , Letizia Ottaviani MD , Marina Carotti MD , Marco Valenti MP , Andrea Giovagnoni MD
{"title":"New Frontiers in Oncological Imaging With Computed Tomography: From Morphology to Function","authors":"Andrea Agostini MD ,&nbsp;Alessandra Borgheresi MD ,&nbsp;Francesco Mariotti MP ,&nbsp;Letizia Ottaviani MD ,&nbsp;Marina Carotti MD ,&nbsp;Marco Valenti MP ,&nbsp;Andrea Giovagnoni MD","doi":"10.1053/j.sult.2023.03.009","DOIUrl":null,"url":null,"abstract":"<div><p><span>The latest evolutions in Computed Tomography (CT) technology have several applications in </span>oncological imaging. The innovations in hardware and software allow for the optimization of the oncological protocol. Low-kV acquisitions are possible thanks to the new powerful tubes. Iterative reconstruction algorithms and artificial intelligence are helpful for the management of image noise during image reconstruction. Functional information is provided by spectral CT (dual-energy and photon counting CT) and perfusion CT.</p></div>","PeriodicalId":49541,"journal":{"name":"Seminars in Ultrasound Ct and Mri","volume":"44 3","pages":"Pages 214-227"},"PeriodicalIF":1.5000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Ultrasound Ct and Mri","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0887217123000331","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

The latest evolutions in Computed Tomography (CT) technology have several applications in oncological imaging. The innovations in hardware and software allow for the optimization of the oncological protocol. Low-kV acquisitions are possible thanks to the new powerful tubes. Iterative reconstruction algorithms and artificial intelligence are helpful for the management of image noise during image reconstruction. Functional information is provided by spectral CT (dual-energy and photon counting CT) and perfusion CT.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
计算机断层扫描肿瘤成像的新前沿:从形态学到功能
计算机断层扫描(CT)技术的最新发展在肿瘤学成像中有几个应用。硬件和软件的创新允许肿瘤学协议的优化。由于新的强大管道,低千伏收购成为可能。迭代重建算法和人工智能有助于图像重建过程中图像噪声的管理。功能信息由光谱CT(双能光子计数CT)和灌注CT提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Seminars in Ultrasound, CT and MRI is directed to all physicians involved in the performance and interpretation of ultrasound, computed tomography, and magnetic resonance imaging procedures. It is a timely source for the publication of new concepts and research findings directly applicable to day-to-day clinical practice. The articles describe the performance of various procedures together with the authors'' approach to problems of interpretation.
期刊最新文献
Interpreting Prostate Multiparametric MRI: Beyond Adenocarcinoma - Anatomical Variations, Mimickers, and Post-Intervention Changes. Prostate Image Quality System (PI-QUAL) Version 2 - A Practical Guide. Prostate imaging for recurrence reporting system made easy: A Case-based review of prostate cancer local recurrence on magnetic resonance imaging. The Role of PSMA-Radioligand and Magnetic Resonance Imaging in Patients with Prostate Cancer Biochemical Recurrence. Practical imaging for Ménière's disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1