4D Free-Breathing Sequence For The Study Of Pancreatic Lesions In MRI 3 Tesla

Author:

Curatolo Calogero1ORCID,Siino Manfredi2,Cannella Roberto3ORCID,Lo Re Giuseppe4ORCID,Brancatelli Giuseppe4

Affiliation:

1. Dipartimento di Diagnostica per immagini, A.O.U.P. "P. Giaccone", Palermo

2. Sezione di Scienze Radiologiche, BIND, Università degli studi

3. Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (Bi.N.D.), Università degli Studi di Palermo, Palermo, Italia.

4. Radiology Section, BIND, University of Palermo

Abstract

Pancreatic cancer is the fourth leading cause of cancer death in both the United States and Europe. A fundamental role in the characterization, early diagnosis, and staging of pancreatic cancer is played by Magnetic Resonance. An innovative and recently implemented sequence, the 4D Free-Breathing sequence, is demonstrating remarkable efficiency in the characterization of pancreatic lesions, as it allows to obtain images with high temporal resolution on the arterial phase, maintaining high spatial and temporal resolution, with the patient free breathing and with compensation of respiratory movement artifacts. The aim of this study was to analyze the 4D Free-Breathing sequence technique and to evaluate its advantages in terms of image quality and diagnostic value in the characterization of pancreatic lesions. The 4D Free Breathing sequence replaces the acquisition of the classic arterial post-contrast phase obtained with the 3D-THRIVE sequence: after a first acquisition of the k-space data in the non-contrast phase (lasting 58 seconds), multiple arterial subphases, each one lasting about 5 seconds, will be acquired with a complete coverage of the post-contrast phase of about 90 seconds. This sequence exploits the k-space sampling technique called "Stack of Stars", based on a radial sampling in the XY plane. In detail, along the slice phase-encoding direction (kz), uniform Cartesian-grid sampling is maintained. Within each kz-encoded plane, radial data is collected with consecutive views (1 per sequence repetition time TR) rotated by a golden-angle of 111.25°, allowing the sampling of a complete circle, also determining a considerably reduced presence of breath artifacts.

Publisher

Ordine TSRM PSTRP di Napoli, Avellino, Benevento

Subject

Earth-Surface Processes

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3