Modeling errors compensation with total least squares for limited data photoacoustic tomography
The limited data photoacoustic image reconstruction problem is typically solved using either weighted or ordinary least squares (LS), with regularization term being added for stability, which account only for data imperfections (noise). Numerical modeling of acoustic wave propagation requires discre...
Saved in:
Main Authors: | Gutta, Sreedevi, Bhatt, Manish, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra Kumar |
---|---|
Other Authors: | School of Chemical and Biomedical Engineering |
Format: | Article |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/86478 http://hdl.handle.net/10220/44063 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
by: Gutta, Sreedevi, et al.
Published: (2018) -
Modified delay-and-sum reconstruction algorithm to improve tangential resolution in photoacoustic tomography
by: Kalva, Sandeep Kumar, et al.
Published: (2018) -
Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography
by: Awasthi, Navchetan, et al.
Published: (2021) -
Non-local means improves total-variation constrained photoacoustic image reconstruction
by: Yalavarthy, Phaneendra K., et al.
Published: (2021) -
Experimental validation of tangential resolution improvement in photoacoustic tomography using modified delay-and-sum reconstruction algorithm
by: Kalva, Sandeep Kumar, et al.
Published: (2016)