Literature DB >> 28138689

Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging.

Yang Lou1, Weimin Zhou2, Thomas P Matthews1, Catherine M Appleton3, Mark A Anastasio4.   

Abstract

Photoacoustic computed tomography (PACT) and ultrasound computed tomography (USCT) are emerging modalities for breast imaging. As in all emerging imaging technologies, computer-simulation studies play a critically important role in developing and optimizing the designs of hardware and image reconstruction methods for PACT and USCT. Using computer-simulations, the parameters of an imaging system can be systematically and comprehensively explored in a way that is generally not possible through experimentation. When conducting such studies, numerical phantoms are employed to represent the physical properties of the patient or object to-be-imaged that influence the measured image data. It is highly desirable to utilize numerical phantoms that are realistic, especially when task-based measures of image quality are to be utilized to guide system design. However, most reported computer-simulation studies of PACT and USCT breast imaging employ simple numerical phantoms that oversimplify the complex anatomical structures in the human female breast. We develop and implement a methodology for generating anatomically realistic numerical breast phantoms from clinical contrast-enhanced magnetic resonance imaging data. The phantoms will depict vascular structures and the volumetric distribution of different tissue types in the breast. By assigning optical and acoustic parameters to different tissue structures, both optical and acoustic breast phantoms will be established for use in PACT and USCT studies.

Entities:  

Mesh:

Year:  2017        PMID: 28138689      PMCID: PMC5282404          DOI: 10.1117/1.JBO.22.4.041015

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  25 in total

1.  Experimental determination of object statistics from noisy images.

Authors:  Matthew A Kupinski; Eric Clarkson; John W Hoppin; Liying Chen; Harrison H Barrett
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-03       Impact factor: 2.129

2.  A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.

Authors:  Weijie Chen; Maryellen L Giger; Ulrich Bick
Journal:  Acad Radiol       Date:  2006-01       Impact factor: 3.173

3.  Thermoacoustic tomography with correction for acoustic speed variations.

Authors:  Xing Jin; Lihong V Wang
Journal:  Phys Med Biol       Date:  2006-11-29       Impact factor: 3.609

4.  Detection of breast cancer with ultrasound tomography: first results with the Computed Ultrasound Risk Evaluation (CURE) prototype.

Authors:  Nebojsa Duric; Peter Littrup; Lou Poulo; Alex Babkin; Roman Pevzner; Earle Holsapple; Olsi Rama; Carri Glide
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

5.  American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.

Authors:  Debbie Saslow; Carla Boetes; Wylie Burke; Steven Harms; Martin O Leach; Constance D Lehman; Elizabeth Morris; Etta Pisano; Mitchell Schnall; Stephen Sener; Robert A Smith; Ellen Warner; Martin Yaffe; Kimberly S Andrews; Christy A Russell
Journal:  CA Cancer J Clin       Date:  2007 Mar-Apr       Impact factor: 508.702

6.  Assessment of a fluorescence-enhanced optical imaging system using the Hotelling observer.

Authors:  Amit K Sahu; Amit Joshi; Matthew A Kupinski; Eva M Sevick-Muraca
Journal:  Opt Express       Date:  2006-08-21       Impact factor: 3.894

7.  Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units.

Authors:  Qianqian Fang; David A Boas
Journal:  Opt Express       Date:  2009-10-26       Impact factor: 3.894

8.  Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer.

Authors:  Carol H Lee; D David Dershaw; Daniel Kopans; Phil Evans; Barbara Monsees; Debra Monticciolo; R James Brenner; Lawrence Bassett; Wendie Berg; Stephen Feig; Edward Hendrick; Ellen Mendelson; Carl D'Orsi; Edward Sickles; Linda Warren Burhenne
Journal:  J Am Coll Radiol       Date:  2010-01       Impact factor: 5.532

9.  Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Authors:  Ke Nie; Jeon-Hor Chen; Siwa Chan; Man-Kwun I Chau; Hon J Yu; Shadfar Bahri; Tiffany Tseng; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast.

Authors:  Earl Zastrow; Shakti K Davis; Mariya Lazebnik; Frederick Kelcz; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

View more
  7 in total

1.  Segmentation of vessel structures from photoacoustic images with reliability assessment.

Authors:  Pasi Raumonen; Tanja Tarvainen
Journal:  Biomed Opt Express       Date:  2018-06-04       Impact factor: 3.732

2.  Video-rate full-ring ultrasound and photoacoustic computed tomography with real-time sound speed optimization.

Authors:  Yachao Zhang; Lidai Wang
Journal:  Biomed Opt Express       Date:  2022-07-27       Impact factor: 3.562

3.  Semi-anthropomorphic photoacoustic breast phantom.

Authors:  Maura Dantuma; Rianne van Dommelen; Srirang Manohar
Journal:  Biomed Opt Express       Date:  2019-10-29       Impact factor: 3.732

4.  Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast.

Authors:  Seonyeong Park; Frank J Brooks; Umberto Villa; Richard Su; Mark A Anastasio; Alexander A Oraevsky
Journal:  J Biomed Opt       Date:  2022-03       Impact factor: 3.758

5.  SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics.

Authors:  Janek Gröhl; Kris K Dreher; Melanie Schellenberg; Tom Rix; Niklas Holzwarth; Patricia Vieten; Leonardo Ayala; Sarah E Bohndiek; Alexander Seitel; Lena Maier-Hein
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

6.  Deep learning methods hold promise for light fluence compensation in three-dimensional optoacoustic imaging.

Authors:  Arumugaraj Madasamy; Vipul Gujrati; Vasilis Ntziachristos; Jaya Prakash
Journal:  J Biomed Opt       Date:  2022-10       Impact factor: 3.758

7.  3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography.

Authors:  Fu Li; Umberto Villa; Seonyeong Park; Mark A Anastasio
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-12-31       Impact factor: 2.725

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.