A. Klepaczko, P. Skulimowski, M. Strzelecki, L. Stefanczyk, E. Eikefjord, J. Rørvik, A. Lundervold
{"title":"Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney","authors":"A. Klepaczko, P. Skulimowski, M. Strzelecki, L. Stefanczyk, E. Eikefjord, J. Rørvik, A. Lundervold","doi":"10.23919/SPA.2018.8563339","DOIUrl":null,"url":null,"abstract":"Magnetic resonance (MR) simulation is one of the possible approaches to test and develop new imaging protocols. It can assist in fast, on-demand verification of various hypotheses concerning the impact of different physical and/or technical factors on image appearance. In this paper, we perform numerical simulation of dynamic contrast-enhanced MR imaging. In particular, we present the implementation of the so-called balanced steady state free precession sequence and show its application in the synthesis of DCE-MR images mimicking perfusion-weighted examinations of the kidney. To this end, we designed a simplified digital phantom of renal parenchyma comprising of kidney cortex and medulla. The phantom was constructed based on manual segmentation of a real high-resolution CT image of the abdomen. The contrast agent kinetics was incorporated into the model by assigning time-varying $T_{1}$ relaxation time to the kidney tissue segments. The relevant T1 time courses were determined based on analysis of real DCE-MR studies. Eventually, the practical aspects of the designed simulator are illustrated in an example application, where selected image-derived perfusion characteristics are referred to physiological parameters of the kidney.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SPA.2018.8563339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Magnetic resonance (MR) simulation is one of the possible approaches to test and develop new imaging protocols. It can assist in fast, on-demand verification of various hypotheses concerning the impact of different physical and/or technical factors on image appearance. In this paper, we perform numerical simulation of dynamic contrast-enhanced MR imaging. In particular, we present the implementation of the so-called balanced steady state free precession sequence and show its application in the synthesis of DCE-MR images mimicking perfusion-weighted examinations of the kidney. To this end, we designed a simplified digital phantom of renal parenchyma comprising of kidney cortex and medulla. The phantom was constructed based on manual segmentation of a real high-resolution CT image of the abdomen. The contrast agent kinetics was incorporated into the model by assigning time-varying $T_{1}$ relaxation time to the kidney tissue segments. The relevant T1 time courses were determined based on analysis of real DCE-MR studies. Eventually, the practical aspects of the designed simulator are illustrated in an example application, where selected image-derived perfusion characteristics are referred to physiological parameters of the kidney.