Literature DB >> 3815000

Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction.

B R Condon, J Patterson, D Wyper, A Jenkins, D M Hadley.   

Abstract

Mesh：

Year:  1987        PMID： 3815000     DOI： 10.1259/0007-1285-60-709-83

Source DB:  PubMed          Journal:  Br J Radiol        ISSN： 0007-1285            Impact factor:   3.039


× No keyword cloud information.
  8 in total

1.  Evaluation of flow measurement from the first pass bolus T1 weighted images using inversion recovery sequence.

Authors:  M Nazarpoor
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

2.  A method of RF inhomogeneity correction in MR imaging.

Authors:  H Mihara; N Iriguchi; S Ueno
Journal:  MAGMA       Date:  1998-12       Impact factor: 2.310

3.  A comparison of five standard methods for evaluating image intensity uniformity in partially parallel imaging MRI.

Authors:  Frank L Goerner; Timothy Duong; R Jason Stafford; Geoffrey D Clarke
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

4.  Effect of phase-encoding scheme on the relationship between contrast agent concentration and signal intensity on inversion recovery turbo fast low-angle shot T1-weighted images.

Authors:  Mahmood Nazarpoor
Journal:  Radiol Phys Technol       Date:  2014-02-06

5.  Effect of concentration of contrast agent on the inflow effect for measuring absolute perfusion by use of inversion recovery T₁-weighted TurboFLASH images.

Authors:  Mahmood Nazarpoor
Journal:  Radiol Phys Technol       Date:  2011-11-24

6.  Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation.

Authors:  Chunming Li; John C Gore; Christos Davatzikos
Journal:  Magn Reson Imaging       Date:  2014-04-30       Impact factor: 2.546

7.  ABCnet: Adversarial bias correction network for infant brain MR images.

Authors:  Liangjun Chen; Zhengwang Wu; Dan Hu; Fan Wang; J Keith Smith; Weili Lin; Li Wang; Dinggang Shen; Gang Li; For Unc/Umn Baby Connectome Project Consortium
Journal:  Med Image Anal       Date:  2021-06-18       Impact factor: 13.828

8.  Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.

Authors:  Jacob Antunes; Satish Viswanath; Mirabela Rusu; Laia Valls; Christopher Hoimes; Norbert Avril; Anant Madabhushi
Journal:  Transl Oncol       Date:  2016-04       Impact factor: 4.243
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.