Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 15,
  • Issue 10,
  • pp. 101102-
  • (2017)

Compressed sensing in synthetic aperture photoacoustic tomography based on a linear-array ultrasound transducer

Not Accessible

Your library or personal account may give you access

Abstract

Photoacoustic tomography (PAT) has the unique capability of visualizing optical absorption inside several centimeters-deep biological tissue with a high spatial resolution. However, single linear-array transducer-based PAT suffers from the limited-view challenge, and thus the synthetic aperture configuration is designed that still requires multichannel data acquisition hardware. Herein, a feasible synthetic aperture PAT based on compressed sensing reconstruction is proposed. Both the simulation and experimental results tested the theoretical model and validated that this approach can improve the image resolution and address the limited-view problem while preserving the target information with a fewer number of measurements.

© 2017 Chinese Laser Press

PDF Article
More Like This
Broadening the detection view of 2D photoacoustic tomography using two linear array transducers

Weihang Shu, Min Ai, Tim Salcudean, Robert Rohling, Purang Abolmaesumi, and Shuo Tang
Opt. Express 24(12) 12755-12768 (2016)

Slit-enabled linear-array photoacoustic tomography with near isotropic spatial resolution in three dimensions

Yuehang Wang, Depeng Wang, Yumiao Zhang, Jumin Geng, Jonathan F. Lovell, and Jun Xia
Opt. Lett. 41(1) 127-130 (2016)

Calibrating reconstruction radius in a multi single-element ultrasound-transducer-based photoacoustic computed tomography system

Sandeep Kumar Kalva, Zhe Zhi Hui, and Manojit Pramanik
J. Opt. Soc. Am. A 35(5) 764-771 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.