End-to-End Algorithm Research in PACT—From Signal Processing to Reconstruction Solution to Image Processing Article Swipe
Chengbo Liu
,
Rongkang Gao
,
Jixia Cheng
,
Shuilin Wang
,
Wenqiang Hou
,
Shirui Dong
,
Yang Wang
,
Xuyu Fu
,
Silüe Zeng
,
Yaguang Ren
,
Xiaohui Ma
,
Jinhai Liu
,
Mingjian Sun
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1364/opticaopen.26402623.v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1364/opticaopen.26402623.v1
Photoacoustic computed tomography (PACT) is an innovative biomedical imaging technique that has gained significant application in the field of biomedicine due to its ability to visualize optical contrast with high resolution and deep tissue penetration. However, the inherent challenges associated with photoacoustic signal excitation, propagation and detection often result in suboptimal image quality. To overcome these limitations, researchers have developed various advanced algorithms that span the entire image reconstruction pipeline. This review paper aims to presents a detailed analysis of the latest advancements in PACT algorithms and synthesizes these algorithms into a coherent framework. We provide a tripartite analysis—from signal processing to reconstruction solution to image processing, covering a spectrum of techniques. The principles and methodologies, as well as their applicability and limitations, are thoroughly discussed. The primary objective of this study is to provide a thorough review of advanced algorithms applicable to PACT, offering both theoretical foundations and practical guidance for enhancing the imaging effect of PACT.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1364/opticaopen.26402623.v1
- OA Status
- green
- References
- 132
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401136191
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401136191Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1364/opticaopen.26402623.v1Digital Object Identifier
- Title
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End-to-End Algorithm Research in PACT—From Signal Processing to Reconstruction Solution to Image ProcessingWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-30Full publication date if available
- Authors
-
Chengbo Liu, Rongkang Gao, Jixia Cheng, Shuilin Wang, Wenqiang Hou, Shirui Dong, Yang Wang, Xuyu Fu, Silüe Zeng, Yaguang Ren, Xiaohui Ma, Jinhai Liu, Mingjian SunList of authors in order
- Landing page
-
https://doi.org/10.1364/opticaopen.26402623.v1Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://figshare.com/articles/preprint/End-to-End_Algorithm_Research_in_PACT_From_Signal_Processing_to_Reconstruction_Solution_to_Image_Processing/26402623Direct OA link when available
- Concepts
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Pact, Computer science, Image processing, Signal processing, Algorithm, Pipeline (software), Artificial intelligence, Computer vision, Digital signal processing, Image (mathematics), Computer hardware, Archaeology, History, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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132Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.quality. | 52 |
| abstract_inverted_index.solution | 103 |
| abstract_inverted_index.spectrum | 109 |
| abstract_inverted_index.thorough | 136 |
| abstract_inverted_index.detection | 46 |
| abstract_inverted_index.developed | 59 |
| abstract_inverted_index.enhancing | 152 |
| abstract_inverted_index.objective | 128 |
| abstract_inverted_index.pipeline. | 69 |
| abstract_inverted_index.practical | 149 |
| abstract_inverted_index.technique | 9 |
| abstract_inverted_index.visualize | 25 |
| abstract_inverted_index.algorithms | 62, 85, 89, 140 |
| abstract_inverted_index.applicable | 141 |
| abstract_inverted_index.associated | 39 |
| abstract_inverted_index.biomedical | 7 |
| abstract_inverted_index.challenges | 38 |
| abstract_inverted_index.discussed. | 125 |
| abstract_inverted_index.framework. | 93 |
| abstract_inverted_index.innovative | 6 |
| abstract_inverted_index.principles | 113 |
| abstract_inverted_index.processing | 100 |
| abstract_inverted_index.resolution | 30 |
| abstract_inverted_index.suboptimal | 50 |
| abstract_inverted_index.thoroughly | 124 |
| abstract_inverted_index.tomography | 2 |
| abstract_inverted_index.tripartite | 97 |
| abstract_inverted_index.application | 14 |
| abstract_inverted_index.biomedicine | 19 |
| abstract_inverted_index.excitation, | 43 |
| abstract_inverted_index.foundations | 147 |
| abstract_inverted_index.processing, | 106 |
| abstract_inverted_index.propagation | 44 |
| abstract_inverted_index.researchers | 57 |
| abstract_inverted_index.significant | 13 |
| abstract_inverted_index.synthesizes | 87 |
| abstract_inverted_index.techniques. | 111 |
| abstract_inverted_index.theoretical | 146 |
| abstract_inverted_index.advancements | 82 |
| abstract_inverted_index.limitations, | 56, 122 |
| abstract_inverted_index.penetration. | 34 |
| abstract_inverted_index.Photoacoustic | 0 |
| abstract_inverted_index.applicability | 120 |
| abstract_inverted_index.photoacoustic | 41 |
| abstract_inverted_index.methodologies, | 115 |
| abstract_inverted_index.reconstruction | 68, 102 |
| abstract_inverted_index.analysis—from | 98 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.13581007 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |