Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches
Image registration is crucial in the clinical application of photoacoustic tomography (PAT) for vascular growth monitoring. Aiming to find an optimized registration scheme for PAT vascular images acquired at different times and with varying imaging conditions, we compared and analyzed different comm...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
|
| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.1045192/full |
| _version_ | 1811179605975891968 |
|---|---|
| author | Qinran Yu Yixing Liao Kecen Liu Zhengyan He Yuan Zhao Faqi Li Tianqi Shan |
| author_facet | Qinran Yu Yixing Liao Kecen Liu Zhengyan He Yuan Zhao Faqi Li Tianqi Shan |
| author_sort | Qinran Yu |
| collection | DOAJ |
| description | Image registration is crucial in the clinical application of photoacoustic tomography (PAT) for vascular growth monitoring. Aiming to find an optimized registration scheme for PAT vascular images acquired at different times and with varying imaging conditions, we compared and analyzed different commonly used intensity-based and feature-based automatic registration schemes. To further improve the registration performance, we proposed a new scheme that combines phase correlation with these commonly used intensity-based registration methods and compared their performances. The objective evaluation measures: peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), root mean square error (RMSE), and quantitative visual perception (jump percentage P), as well as subjective evaluation using mean opinion score (MOS), were combined to evaluate the registration performance. Results show that the feature-based approaches in this study were not suitable for PAT image registration. And by adding phase correlation as rough registration, the overall registration performance was improved significantly. Among these methods, the proposed scheme of phase correlation combined with mean square error (MSE) similarity measure and regular-step-gradient-descent optimizer provides the best visual effect, accuracy, and efficiency in PAT vascular image registration. |
| first_indexed | 2024-04-11T06:38:05Z |
| format | Article |
| id | doaj.art-6b0f29da79f94cb89ed5f4d1f7cb7dcf |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-11T06:38:05Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-6b0f29da79f94cb89ed5f4d1f7cb7dcf2022-12-22T04:39:38ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-11-011010.3389/fphy.2022.10451921045192Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approachesQinran YuYixing LiaoKecen LiuZhengyan HeYuan ZhaoFaqi LiTianqi ShanImage registration is crucial in the clinical application of photoacoustic tomography (PAT) for vascular growth monitoring. Aiming to find an optimized registration scheme for PAT vascular images acquired at different times and with varying imaging conditions, we compared and analyzed different commonly used intensity-based and feature-based automatic registration schemes. To further improve the registration performance, we proposed a new scheme that combines phase correlation with these commonly used intensity-based registration methods and compared their performances. The objective evaluation measures: peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), root mean square error (RMSE), and quantitative visual perception (jump percentage P), as well as subjective evaluation using mean opinion score (MOS), were combined to evaluate the registration performance. Results show that the feature-based approaches in this study were not suitable for PAT image registration. And by adding phase correlation as rough registration, the overall registration performance was improved significantly. Among these methods, the proposed scheme of phase correlation combined with mean square error (MSE) similarity measure and regular-step-gradient-descent optimizer provides the best visual effect, accuracy, and efficiency in PAT vascular image registration.https://www.frontiersin.org/articles/10.3389/fphy.2022.1045192/fullimage registrationintensity-based registrationphotoacoustic tomographyvisual perceptionphotoacoustic imagingvascular |
| spellingShingle | Qinran Yu Yixing Liao Kecen Liu Zhengyan He Yuan Zhao Faqi Li Tianqi Shan Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches Frontiers in Physics image registration intensity-based registration photoacoustic tomography visual perception photoacoustic imaging vascular |
| title | Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches |
| title_full | Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches |
| title_fullStr | Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches |
| title_full_unstemmed | Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches |
| title_short | Registration of photoacoustic tomography vascular images: Comparison and analysis of automatic registration approaches |
| title_sort | registration of photoacoustic tomography vascular images comparison and analysis of automatic registration approaches |
| topic | image registration intensity-based registration photoacoustic tomography visual perception photoacoustic imaging vascular |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2022.1045192/full |
| work_keys_str_mv | AT qinranyu registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT yixingliao registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT kecenliu registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT zhengyanhe registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT yuanzhao registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT faqili registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches AT tianqishan registrationofphotoacoustictomographyvascularimagescomparisonandanalysisofautomaticregistrationapproaches |