Literature DB >> 18520558

The influence of diffusion- and relaxation-related factors on signal intensity: an introductive guide to magnetic resonance diffusion-weighted imaging studies.

Stefano Colagrande1, Giacomo Belli, Letterio Salvatore Politi, Lorenzo Mannelli, Filippo Pasquinelli, Natale Villari.   

Abstract

In magnetic resonance diffusion-weighted imaging, signal intensity is influenced simultaneously by temperature, diffusivity, b value, pseudodiffusion, macroscopic motion, and T2-weighted intensity value. The purpose of this pictorial essay is to discuss and exemplify the influence that such factors and the related modifications have on signal intensity. Apparent diffusion coefficient, shine-through and pseudodiffusion will also be examined to show how T2-weighted signal intensity value and nondiffusional intravoxel incoherent motion can affect the diffusion-weighted imaging.

Mesh：

Year:  2008        PMID： 18520558     DOI： 10.1097/RCT.0b013e31811ec6d4

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN： 0363-8715            Impact factor:   1.826


  13 in total

1.  Computed diffusion-weighted imaging for differentiating synovial proliferation from joint effusion in hand arthritis.

Authors:  Yuki Tanaka; Motoshi Fujimori; Koichi Murakami; Hiroyuki Sugimori; Nozomi Oki; Takatoshi Aoki; Tamotsu Kamishima
Journal:  Rheumatol Int       Date:  2019-08-27       Impact factor: 2.631

2.  Diffusion-weighted magnetic resonance imaging: new perspectives in the diagnostic pathway of non-complicated acute pyelonephritis.

Authors:  Agostino De Pascale; Giorgina Barbara Piccoli; Sandro Massimo Priola; Daniela Rognone; Valentina Consiglio; Irene Garetto; Laura Rizzo; Andrea Veltri
Journal:  Eur Radiol       Date:  2013-06-08       Impact factor: 5.315

Review 3.  Advanced hepatocellular carcinoma and sorafenib: Diagnosis, indications, clinical and radiological follow-up.

Authors:  Stefano Colagrande; Francesco Regini; Gian Giacomo Taliani; Cosimo Nardi; Andrea Lorenzo Inghilesi
Journal:  World J Hepatol       Date:  2015-05-18

4.  MR-diffusion imaging in assessing chronic liver diseases: does a clinical role exist?

Authors:  F Pasquinelli; G Belli; L N Mazzoni; F Regini; C Nardi; L Grazioli; A L Zignego; A Linda Zignego; S Colagrande
Journal:  Radiol Med       Date:  2011-10-21       Impact factor: 3.469

5.  The risk factors and diagnosis of cholangiocarcinoma.

Authors:  Christopher A Wadsworth; Adrian Lim; Simon D Taylor-Robinson; Shahid A Khan
Journal:  Hepatol Int       Date:  2012-11-10       Impact factor: 6.047

6.  Diffusion-weighted magnetic resonance imaging for predicting and detecting the response of ocular melanoma to proton beam therapy: initial results.

Authors:  Pietro Valerio Foti; Renato Farina; Maria Coronella; Stefano Palmucci; Angelo Montana; Alessandra Sigona; Michele Reibaldi; Antonio Longo; Andrea Russo; Teresio Avitabile; Rosario Caltabiano; Lidia Puzzo; Marco Ragusa; Cesare Mariotti; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Radiol Med       Date:  2015-01-13       Impact factor: 3.469

7.  Variations in apparent diffusion coefficient values following chemotherapy in pediatric neuroblastoma.

Authors:  Senay Demir; Naime Altinkaya; Nazim Emrah Kocer; Ayse Erbay; Pelin Oguzkurt
Journal:  Diagn Interv Radiol       Date:  2015 Mar-Apr       Impact factor: 2.630

Review 8.  Advances in diffusion-weighted imaging.

Authors:  Lorenzo Mannelli; Stephanie Nougaret; Hebert A Vargas; Richard K G Do
Journal:  Radiol Clin North Am       Date:  2015-05       Impact factor: 2.303

Review 9.  Diffusion-weighted imaging in head and neck cancers.

Authors:  Sanjeev Chawla; Sungheon Kim; Sumei Wang; Harish Poptani
Journal:  Future Oncol       Date:  2009-09       Impact factor: 3.404

10.  Quantitative evaluation of computed and voxelwise computed diffusion-weighted imaging in breast cancer.

Authors:  Qingyuan Cheng; Shuxin Ye; Chuqi Fu; Jiejie Zhou; Xiaxia He; Haiwei Miao; Nina Xu; Meihao Wang
Journal:  Br J Radiol       Date:  2019-07-10       Impact factor: 3.039
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