Literature DB >> 16315211

Relaxation times of breast tissue at 1.5T and 3T measured using IDEAL.

Rebecca Rakow-Penner1, Bruce Daniel, Huanzhou Yu, Anne Sawyer-Glover, Gary H Glover.   

Abstract

PURPOSE: To accurately measure T1 and T2 of breast fibroglandular tissue and fat at 1.5T and 3T, and note the partial volume effects of the admixture of fibroglandular tissue and fat on the relaxation rates using an approach termed iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL) imaging.
MATERIALS AND METHODS: T1 and T2 values were measured on the right breasts of five healthy women at 1.5T and 3T. T1 data were collected using two sequences: inversion recovery without IDEAL, and inversion recovery with IDEAL. T2 data were collected using Hahn Echo scans. SNR and CNR analyses were conducted on collected data.
RESULTS: T1 increased for both fat (21%) and glandular tissue (17%) from 1.5T to 3T. Thus, the TR and TI of breast protocols at 3T should be lengthened accordingly. SNR more than doubled for both tissue types from 1.5T to 3T. IDEAL imaging demonstrated the partial volume effects of fat and glandular tissue on measuring relaxation rates of independent tissue types.
CONCLUSION: With separated fat and water images, more precise measurements can be made for the lipid component in fat, and the water component in fibroglandular tissue.

Entities:  

Mesh:

Year:  2006        PMID: 16315211     DOI: 10.1002/jmri.20469

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  64 in total

1.  [Functional and molecular imaging of breast tumors].

Authors:  K Pinker; P Brader; G Karanikas; K El-Rabadi; W Bogner; S Gruber; M Reisegger; S Trattnig; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

2.  Consistency of breast density measured from the same women in four different MR scanners.

Authors:  Jeon-Hor Chen; Siwa Chan; Yi-Jui Liu; Dah-Cherng Yeh; Chih-Kai Chang; Li-Kuang Chen; Wei-Fan Pan; Chih-Chen Kuo; Muqing Lin; Daniel H E Chang; Peter T Fwu; Min-Ying Su
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

3.  Breast density estimation from high spectral and spatial resolution MRI.

Authors:  Hui Li; William A Weiss; Milica Medved; Hiroyuki Abe; Gillian M Newstead; Gregory S Karczmar; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-28

4.  Molecular Imaging in Breast Cancer - Potential Future Aspects.

Authors:  Katja Pinker; Wolfgang Bogner; Stephan Gruber; Peter Brader; Siegfried Trattnig; Georgios Karanikas; Thomas H Helbich
Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

5.  Simulation study of the effect of golden-angle KWIC with generalized kinetic model analysis on diagnostic accuracy for lesion discrimination.

Authors:  Melanie Freed; Sungheon G Kim
Journal:  Magn Reson Imaging       Date:  2014-09-28       Impact factor: 2.546

6.  Sequence design and evaluation of the reproducibility of water-selective diffusion-weighted imaging of the breast at 3 T.

Authors:  He Zhu; Lori R Arlinghaus; Jennifer G Whisenant; Ming Li; John C Gore; Thomas E Yankeelov
Journal:  NMR Biomed       Date:  2014-07-01       Impact factor: 4.044

7.  Three-dimensional MR Fingerprinting for Quantitative Breast Imaging.

Authors:  Yong Chen; Ananya Panda; Shivani Pahwa; Jesse I Hamilton; Sara Dastmalchian; Debra F McGivney; Dan Ma; Joshua Batesole; Nicole Seiberlich; Mark A Griswold; Donna Plecha; Vikas Gulani
Journal:  Radiology       Date:  2018-10-30       Impact factor: 11.105

8.  Diffusion-weighted imaging in breast lesion evaluation.

Authors:  P Belli; M Costantini; E Bufi; A Magistrelli; G La Torre; L Bonomo
Journal:  Radiol Med       Date:  2009-11-09       Impact factor: 3.469

9.  A paradoxical signal intensity increase in fatty livers using opposed-phase gradient echo imaging with fat-suppression pulses.

Authors:  Robert V Mulkern; Sandra Loeb Salsberg; Marta Ramon Krauel; David S Ludwig; Stephan Voss
Journal:  Pediatr Radiol       Date:  2008-08-02

10.  Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy.

Authors:  Lori R Arlinghaus; Xia Li; Mia Levy; David Smith; E Brian Welch; John C Gore; Thomas E Yankeelov
Journal:  J Oncol       Date:  2010-09-29       Impact factor: 4.375

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.