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A Level Set Based Framework for Quantitative Evaluation of Breast Tissue Density from MRI Data

Tatyana Ivanovska, René Laqua, Lei Wang, Volkmar Liebscher, Henry Völzke, Katrin Hegenscheid, Christof Markus Aegerter
2014 PLoS ONE  
The automated framework produced sufficient results and has the potential to be applied for the analysis of breast volume and breast density of numerous data in clinical and research settings.  ...  Second, the obtained breast component is extracted, and the breast-air and breast-body boundaries are refined.  ...  The intensities of the breast tissue close to the breast air boundaries (marked by the red rectangle) have higher values than the intensities of the breast tissue located in the middle of the breast.doi  ... 
doi:10.1371/journal.pone.0112709 pmid:25422942 pmcid:PMC4244105 fatcat:vfh5e22ylrh65nvrk634zr726e

Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?

Simon J. Doran, John H. Hipwell, Rachel Denholm, Björn Eiben, Marta Busana, David J. Hawkes, Martin O. Leach, Isabel dos Santos Silva
2017 Medical Physics (Lancaster)  
Methods: Two methods of breast segmentation were applied to the task of calculating MRI breast density in 200 subjects drawn from the Avon Longitudinal Study of Parents and Children, a large cohort study  ...  coefficients) as the primary determinant in algorithm selection.  ...  In particular. we thank study nurses, Elizabeth Folkes and Sally Pearce, and CRIC CONFLICTS OF INTEREST The authors are not aware of any conflicts of interest.  ... 
doi:10.1002/mp.12320 pmid:28477346 pmcid:PMC5697622 fatcat:nj6dgiwrl5gzvj7e4qi2onfuuq

A computerized volumetric segmentation method applicable to multi-centre MRI data to support computer-aided breast tissue analysis, density assessment and lesion localization

Gokhan Ertas, Simon J. Doran, Martin O. Leach
2016 Medical and Biological Engineering and Computing  
Compliance with ethical standards Conflict of interest The authors disclosed no potential conflicts of interest.  ...  Acknowledgments This work was supported by EPSRC (E035736/1) and also by Cancer Research UK and EPSRC with support from MRC and the Department of Health [CUK] (C1060/ A10334, C1060/A16464), together with  ...  around 85 slices per volume in the analysed breast region.  ... 
doi:10.1007/s11517-016-1484-y pmid:27106750 pmcid:PMC5222930 fatcat:fshnvki5mngobk4qmahb44ktci

Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm

Lee-Jane W Lu, Thomas K Nishino, Raleigh F Johnson, Fatima Nayeem, Donald G Brunder, Hyunsu Ju, Morton H Leonard, James J Grady, Tuenchit Khamapirad
2012 Physics in Medicine and Biology  
Replicate breast exams (N= 2 to 7 replicates in 6 women) by 3DGRE and STIR were highly reproducible for all tissue-volume estimates (coefficients of variation <5%).  ...  reliably estimate different types of breast tissues.  ...  Acknowledgments The authors wish to acknowledge the technical assistance of the staff of the Breast Imaging Clinic at the University of Texas Medical Branch, the nursing staff of the Institute of Translational  ... 
doi:10.1088/0031-9155/57/21/6903 pmid:23044556 pmcid:PMC3493153 fatcat:yr222h747bhnlbntfbkeo6x2ky

Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns

Gabriele Piantadosi, Stefano Marrone, Roberta Fusco, Mario Sansone, Carlo Sansone
2018 IET Computer Vision  
Among the major issues in developing a fully automated CAD, there are the accurate segmentation of lesions in regions of interest and their consequent staging (classification).  ...  Results show that BLADeS can be successfully used to perform a fully automated breast lesion diagnosis starting from T1-weighted DCE-MRI, without requiring any operator interaction in any of the processing  ...  automated CAD system for breast DCE-MRI.  ... 
doi:10.1049/iet-cvi.2018.5273 fatcat:h2gvogcfczfabdl5z7d2weqdiu

A U-Net Ensemble for breast lesion segmentation in DCE MRI

Roa'a Khaled, Joel Vidal, Kai Vilanova, Robert Martí
2021 Computers in Biology and Medicine  
In this paper we propose an automated method for breast lesion segmentation from DCE-MRI based on a U-Net framework.  ...  Due to the time and experience required to manually segment lesions in 4D DCE-MRI, automating this task is expected to reduce the workload, reduce observer variability and improve diagnostic accuracy.  ...  We would like to thank the TCGA Breast Phenotype Research Group for providing the computer-extracted lesion segmentation data used in this study, which comes from the University of Chicago lab of Maryellen  ... 
doi:10.1016/j.compbiomed.2021.105093 pmid:34883343 fatcat:oou5wqk4ffbfrnckljzxfw35ji

Deformable mapping technique to correlate lesions in digital breast tomosynthesis and automated breast ultrasound images

Crystal A. Green, Mitchell M. Goodsitt, Kristy K. Brock, Cynthia L. Davis, Eric D. Larson, Jasmine H. Lau, Paul L. Carson
2018 Medical Physics (Lancaster)  
Purpose: To develop a deformable mapping technique to match corresponding lesions between digital breast tomosynthesis (DBT) and automated breast ultrasound (ABUS) images.  ...  Conclusion: This work demonstrates the potential for a deformable mapping technique to relate corresponding lesions in DBT and ABUS images by showing improved lesion correspondence and reduced lesion registration  ...  and uncompressed prone MRI, four external markers were placed around the breast and on the nipple. 21 Finally, using a volume navigation technique a study of breast MRI and ultrasound registration,  ... 
doi:10.1002/mp.13113 pmid:30066340 fatcat:y66adybwlvhazfblomz2enr6tm

3D Multi-parametric Breast MRI Segmentation Using Hierarchical Support Vector Machine with Coil Sensitivity Correction

Yi Wang, Glen Morrell, Marta E. Heibrun, Allison Payne, Dennis L. Parker
2013 Academic Radiology  
This segmentation can be useful to aid in the diagnosis of breast cancers and to assess breast cancer risk based on breast density.  ...  Rationale and Objectives-The goal of the study is to develop a technique to achieve accurate volumetric breast tissue segmentation using MRI data.  ...  Acknowledgments This research was supported by NIH CA134599 and 5 K08 CA112449, the Ben B. and Iris M. Margolis Foundation, Siemens Health Care AG, and the Focused Ultrasound Surgery Foundation.  ... 
doi:10.1016/j.acra.2012.08.016 pmid:23099241 pmcid:PMC3567300 fatcat:yum2fmby2vcu7enbir5e5j4ouq

High-resolution Diffusion-weighted Magnetic Resonance Imaging in Patients with Locally Advanced Breast Cancer

Lisa Singer, Lisa J. Wilmes, Emine U. Saritas, Ajit Shankaranarayanan, Evelyn Proctor, Dorota J. Wisner, Belinda Chang, Bonnie N. Joe, Dwight G. Nishimura, Nola M. Hylton
2012 Academic Radiology  
Acknowledgments The authors acknowledge funding from R01-CA69587 (NH), R01-CA 116182 (NH) and the California Breast Cancer Research Program Dissertation Award (LS).  ...  A source of potential variability in the data results from the fact that the tumor was represented by one only region of interest (ROI) on one slice in the image volume.  ...  It has the potential to reduce distortion by decreasing the required readout duration for imaging and by allowing for air-tissue interfaces to be excluded from the shim volume, reducing susceptibility-induced  ... 
doi:10.1016/j.acra.2011.11.003 pmid:22197382 pmcid:PMC3319166 fatcat:4aybuwrz55gu7ddkxj3t4hd2gu

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI

Antonio Galli, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone
2021 Journal of Imaging  
We thus propose a pipelined approach where each stage is intended to deal with or to leverage a peculiar characteristic of breast DCE-MRI data: the use of a breast-masking pre-processing to remove non-breast  ...  The recent spread of Deep Learning (DL) in medical imaging is pushing researchers to explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic-Resonance Imaging (DCE-MRI), a  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jimaging7120276 pmid:34940743 pmcid:PMC8703956 fatcat:kq57jcptkbcf3cchdibgo5ivzm

Automatic and fast segmentation of breast region-of-interest (ROI) and density in MRIs

Dinesh Pandey, Xiaoxia Yin, Hua Wang, Min-Ying Su, Jeon-Hor Chen, Jianlin Wu, Yanchun Zhang
2018 Heliyon  
Accurate segmentation of the breast region of interest (BROI) and breast density (BD) is a significant challenge during the analysis of breast MR images.  ...  This is because of difficulties in removing landmarks from noisy magnetic resonance images (MRI) due to similar intensity levels and the close connection to BROI.  ...  The main objective of this study is to segment the breast region of interest (BROI) and breast density (BD) from breast MRIs.  ... 
doi:10.1016/j.heliyon.2018.e01042 pmid:30582055 pmcid:PMC6299131 fatcat:anfrxn6lbzaqbdqy5x4mq5jqke

Intensity augmentation for domain transfer of whole breast segmentation in MRI [article]

Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
2019 arXiv   pre-print
The segmentation of the breast from the chest wall is an important first step in the analysis of breast magnetic resonance images. 3D U-nets have been shown to obtain high segmentation accuracy and appear  ...  By applying intensity augmentation we increased segmentation performance from a DSC of 0.71 to 0.90.  ...  The authors would like to acknowledge the contribution of Homa Fashandi to the development of software used in this work.  ... 
arXiv:1909.02642v1 fatcat:6rnahzca6vd3zfghadpdpvswnm

Current and Future Trends in Magnetic Resonance Imaging Assessments of the Response of Breast Tumors to Neoadjuvant Chemotherapy

Lori R. Arlinghaus, Xia Li, Mia Levy, David Smith, E. Brian Welch, John C. Gore, Thomas E. Yankeelov
2010 Journal of Oncology  
We conclude with a discussion of the potential benefits of breast MRI at the higher field strength of 3T.  ...  The current state-of-the-art assessment of treatment response in breast cancer is based on the response evaluation criteria in solid tumors (RECIST).  ...  Yankeelov is (partially) supported by a Career Development Award via NIBIB 1K25 EB005936.  ... 
doi:10.1155/2010/919620 pmid:20953332 pmcid:PMC2952974 fatcat:w4qr6uq4urgdhnyzwgauzxlka4

Breast MRI at 7 Tesla with a bilateral coil and T1-weighted acquisition with robust fat suppression: image evaluation and comparison with 3 Tesla

Ryan Brown, Pippa Storey, Christian Geppert, KellyAnne McGorty, Ana Paula Klautau Leite, James Babb, Daniel K. Sodickson, Graham C. Wiggins, Linda Moy
2013 European Radiology  
at 3 T Data in the current manuscript was presented in part in Brown, et. al, "Breast MRI at 7 Tesla with a Bilateral Coil and Robust Fat Suppression" in the Journal of Magnetic Resonance Imaging (accepted  ...  Objectives-To evaluate the image quality of T1-weighted fat-suppressed breast MRI at 7 T, and to compare 7-T and 3-T images.  ...  Acknowledgments This work was funded in part by NIH grant R01 EB002568. Christian Geppert is an employee of Siemens.  ... 
doi:10.1007/s00330-013-2972-1 pmid:23896763 pmcid:PMC4036120 fatcat:mqsopgjzknf2tdme7ermxjxjs4

Functional magnetic resonance: biomarkers of response in breast cancer

Elizabeth AM O'Flynn, Nandita M deSouza
2011 Breast Cancer Research  
With the aid of selected interesting cases, biomarkers related to dynamic contrast-enhanced MRI, diff usion-weighted MRI, T2*/BOLD and MR spectroscopy are described and illustrated.  ...  Magnetic resonance imaging (MRI) of the breast has an established role in assessing response to neoadjuvant chemotherapy and provides better monitoring of the chemotherapeutic eff ect than clinical breast  ...  With the aid of selected interesting cases, biomarkers related to dynamic contrast-enhanced MRI, diff usion-weighted MRI, T2*/BOLD and MR spectroscopy are described and illustrated.  ... 
doi:10.1186/bcr2815 pmid:21392409 pmcid:PMC3109577 fatcat:olffs5xnujgorjpgdevifwc6uq
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