Literature DB >> 30375925

Three-dimensional MR Fingerprinting for Quantitative Breast Imaging.

Yong Chen1, Ananya Panda1, Shivani Pahwa1, Jesse I Hamilton1, Sara Dastmalchian1, Debra F McGivney1, Dan Ma1, Joshua Batesole1, Nicole Seiberlich1, Mark A Griswold1, Donna Plecha1, Vikas Gulani1.   

Abstract

Purpose To develop a fast three-dimensional method for simultaneous T1 and T2 quantification for breast imaging by using MR fingerprinting. Materials and Methods In this prospective study, variable flip angles and magnetization preparation modules were applied to acquire MR fingerprinting data for each partition of a three-dimensional data set. A fast postprocessing method was implemented by using singular value decomposition. The proposed technique was first validated in phantoms and then applied to 15 healthy female participants (mean age, 24.2 years ± 5.1 [standard deviation]; range, 18-35 years) and 14 female participants with breast cancer (mean age, 55.4 years ± 8.8; range, 39-66 years) between March 2016 and April 2018. The sensitivity of the method to B1 field inhomogeneity was also evaluated by using the Bloch-Siegert method. Results Phantom results showed that accurate and volumetric T1 and T2 quantification was achieved by using the proposed technique. The acquisition time for three-dimensional quantitative maps with a spatial resolution of 1.6 × 1.6 × 3 mm3 was approximately 6 minutes. For healthy participants, averaged T1 and T2 relaxation times for fibroglandular tissues at 3.0 T were 1256 msec ± 171 and 46 msec ± 7, respectively. Compared with normal breast tissues, higher T2 relaxation time (68 msec ± 13) was observed in invasive ductal carcinoma (P < .001), whereas no statistical difference was found in T1 relaxation time (1183 msec ± 256; P = .37). Conclusion A method was developed for breast imaging by using the MR fingerprinting technique, which allows simultaneous and volumetric quantification of T1 and T2 relaxation times for breast tissues. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 30375925      PMCID: PMC6312432          DOI: 10.1148/radiol.2018180836

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  28 in total

1.  Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection-a novel approach to breast cancer screening with MRI.

Authors:  Christiane K Kuhl; Simone Schrading; Kevin Strobel; Hans H Schild; Ralf-Dieter Hilgers; Heribert B Bieling
Journal:  J Clin Oncol       Date:  2014-06-23       Impact factor: 44.544

2.  Coronary angiography with magnetization-prepared T2 contrast.

Authors:  J H Brittain; B S Hu; G A Wright; C H Meyer; A Macovski; D G Nishimura
Journal:  Magn Reson Med       Date:  1995-05       Impact factor: 4.668

3.  Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer.

Authors:  Alice C Yu; Chaitra Badve; Lee E Ponsky; Shivani Pahwa; Sara Dastmalchian; Matthew Rogers; Yun Jiang; Seunghee Margevicius; Mark Schluchter; William Tabayoyong; Robert Abouassaly; Debra McGivney; Mark A Griswold; Vikas Gulani
Journal:  Radiology       Date:  2017-02-10       Impact factor: 11.105

4.  SVD compression for magnetic resonance fingerprinting in the time domain.

Authors:  Debra F McGivney; Eric Pierre; Dan Ma; Yun Jiang; Haris Saybasili; Vikas Gulani; Mark A Griswold
Journal:  IEEE Trans Med Imaging       Date:  2014-07-10       Impact factor: 10.048

5.  Multi-frequency interpolation in spiral magnetic resonance fingerprinting for correction of off-resonance blurring.

Authors:  Jason Ostenson; Ryan K Robison; Nicholas R Zwart; E Brian Welch
Journal:  Magn Reson Imaging       Date:  2017-07-08       Impact factor: 2.546

6.  Relaxation times of normal breast tissues. Changes with age and variations during the menstrual cycle.

Authors:  K I Dean; M L Majurin; M Komu
Journal:  Acta Radiol       Date:  1994-05       Impact factor: 1.990

7.  Physiologic changes in breast magnetic resonance imaging during the menstrual cycle: perfusion imaging, signal enhancement, and influence of the T1 relaxation time of breast tissue.

Authors:  Jean-Paul Delille; Priscilla J Slanetz; Eren D Yeh; Daniel B Kopans; Leoncio Garrido
Journal:  Breast J       Date:  2005 Jul-Aug       Impact factor: 2.431

8.  Nuclear magnetic resonance imaging and evaluation of human breast tissue: preliminary clinical trials.

Authors:  R J Ross; J S Thompson; K Kim; R A Bailey
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

9.  Changes of T2 Relaxation Time From Neoadjuvant Chemotherapy in Breast Cancer Lesions.

Authors:  Li Liu; Bo Yin; Dao Ying Geng; Yi Ping Lu; Wei Jun Peng
Journal:  Iran J Radiol       Date:  2016-01-09       Impact factor: 0.212

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

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  19 in total

1.  Three-dimensional simultaneous brain T1 , T2 , and ADC mapping with MR Multitasking.

Authors:  Sen Ma; Christopher T Nguyen; Fei Han; Nan Wang; Zixin Deng; Nader Binesh; Franklin G Moser; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

Review 2.  Magnetic resonance fingerprinting: an overview.

Authors:  Charit Tippareddy; Walter Zhao; Jeffrey L Sunshine; Mark Griswold; Dan Ma; Chaitra Badve
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-26       Impact factor: 9.236

3.  Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.

Authors:  Zhenghan Fang; Yong Chen; Mingxia Liu; Lei Xiang; Qian Zhang; Qian Wang; Weili Lin; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2019-02-13       Impact factor: 10.048

4.  Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.

Authors:  Ananya Panda; Yong Chen; Kathleen Ropella-Panagis; Satyam Ghodasara; Marcie Stopchinski; Nicole Seyfried; Katherine Wright; Nicole Seiberlich; Mark Griswold; Vikas Gulani
Journal:  J Magn Reson Imaging       Date:  2019-03-20       Impact factor: 4.813

Review 5.  Magnetic resonance fingerprinting review part 2: Technique and directions.

Authors:  Debra F McGivney; Rasim Boyacıoğlu; Yun Jiang; Megan E Poorman; Nicole Seiberlich; Vikas Gulani; Kathryn E Keenan; Mark A Griswold; Dan Ma
Journal:  J Magn Reson Imaging       Date:  2019-07-25       Impact factor: 4.813

6.  Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification.

Authors:  Jesse I Hamilton; Nicole Seiberlich
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-09-11       Impact factor: 10.961

7.  Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma.

Authors:  Mandi Wang; Jose A U Perucho; Peng Cao; Varut Vardhanabhuti; Di Cui; Yiang Wang; Pek-Lan Khong; Edward S Hui; Elaine Y P Lee
Journal:  Quant Imaging Med Surg       Date:  2021-09

8.  Rapid B1-Insensitive MR Fingerprinting for Quantitative Kidney Imaging.

Authors:  Christina J MacAskill; Michael Markley; Susan Farr; Ashlee Parsons; Jacob R Perino; Kimberly McBennett; Katherine Kutney; Mitchell L Drumm; Nicole Pritts; Mark A Griswold; Dan Ma; Katherine M Dell; Chris A Flask; Yong Chen
Journal:  Radiology       Date:  2021-06-08       Impact factor: 29.146

9.  Three-dimensional whole-brain simultaneous T1, T2, and T1ρ quantification using MR Multitasking: Method and initial clinical experience in tissue characterization of multiple sclerosis.

Authors:  Sen Ma; Nan Wang; Zhaoyang Fan; Marwa Kaisey; Nancy L Sicotte; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2020-10-26       Impact factor: 4.668

10.  Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence.

Authors:  Thomas C Kwee; Robert M Kwee
Journal:  Insights Imaging       Date:  2021-06-29
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