Deformable mapping technique to correlate lesions in digital breast tomosynthesis and automated breast ultrasound images-Reference-Cited by-同舟云学术

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

Published:2018-08-31 Issue:10 Volume:45 Page:4402-4417
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Green Crystal A.¹²,Goodsitt Mitchell M.¹²,Brock Kristy K.¹³,Davis Cynthia L.⁴,Larson Eric D.²,Lau Jasmine H.²,Carson Paul L.²

Affiliation:

1. Department of Nuclear Engineering and Radiological Sciences; University of Michigan; Ann Arbor MI 48109 USA

2. Department of Radiology; University of Michigan Health System; Ann Arbor MI 48109 USA

3. Imaging Physics; University of Texas MD Anderson Cancer Center; Houston TX 77030 USA

4. GE Global Research; Niskayuna NY 12309 USA

Funder

GE Global Research

The Science, Mathematics and Research for Transformation (SMART) Scholarship for Service Program

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13113/fullpdf

Reference48 articles.

1. The role of US in breast imaging;Jackson;Radiology,1990

2. Breast examination to characterize breast masses;Taylor;Ultrasound Med Biol,2002

3. Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial;Ohuchi;Lancet,2016

4. Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts: report from a hospital-based, high-volume, single-center breast cancer screening program;Wilczek;Eur J Radiol,2016

5. Automated breast ultrasound in breast cancer screening of women with dense breasts: reader study of mammography-negative and mammography-positive cancers;Giger;Am J Roentgenol,2016

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1. Non-rigid Registration of De-noised Ultrasound Breast Tumors in Image Guided Breast-Conserving Surgery;Lecture Notes in Electrical Engineering;2023

2. Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography;Electronics;2022-06-04

3. Automated Segmentation of Mass Regions in DBT Images Using a Dilated DCNN Approach;Computational Intelligence and Neuroscience;2022-02-02

4. Deformable Mapping Method to Relate Lesions in Dedicated Breast CT Images to Those in Automated Breast Ultrasound and Digital Breast Tomosynthesis Images;Ultrasound in Medicine & Biology;2020-03

5. Deformable mapping using biomechanical models to relate corresponding lesions in digital breast tomosynthesis and automated breast ultrasound images;Medical Image Analysis;2020-02

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