Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography
Photoacoustic tomography tends to be an ill-conditioned problem with noisy limited data, requiring imposition of regularization constraints like standard Tikhonov or total-variation to reconstruct meaningful initial pressure rise distribution from the tomographic acoustic measurements acquired at th...
Saved in:
Main Authors: | Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K., Sanny, Dween Rabius, Prakash, Jaya |
---|---|
Other Authors: | School of Chemical and Biomedical Engineering |
Format: | Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/90005 http://hdl.handle.net/10220/46722 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Fractional regularization to improve photoacoustic tomographic image reconstruction
by: Prakash, Jaya, et al.
Published: (2019) -
Binary photoacoustic tomography for improved vasculature imaging
by: Prakash, Jaya, et al.
Published: (2021) -
Compact photoacoustic tomography system
by: Kalva, Sandeep Kumar, et al.
Published: (2018) -
Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
by: Gutta, Sreedevi, et al.
Published: (2018) -
Use of acoustic reflector to make a compact photoacoustic tomography system
by: Kalva, Sandeep Kumar, et al.
Published: (2017)