Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution
Accurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., has different resolutions in the lateral and axial dimensions. When OCT images have ani...
| Principais autores: | , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
MDPI AG
2023-03-01
|
| coleção: | Bioengineering |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2306-5354/10/3/313 |
| _version_ | 1827751252138655744 |
|---|---|
| author | Guangying Ma Taeyoon Son Tobiloba Adejumo Xincheng Yao |
| author_facet | Guangying Ma Taeyoon Son Tobiloba Adejumo Xincheng Yao |
| author_sort | Guangying Ma |
| collection | DOAJ |
| description | Accurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., has different resolutions in the lateral and axial dimensions. When OCT images have anisotropic pixel resolution, residual distortion (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula>) and false translation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula>) are always observed after image registration for rotational movement. In this study, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> were quantitively analyzed over different degrees of rotational movement and various lateral and axial pixel resolution ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula>) values. The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> provide the evaluation criteria for image registration. The theoretical analysis confirmed that the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> increase significantly with the rotation degree and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula>. An image resizing assisting registration (RAR) strategy was proposed for accurate image registration. The performance of direct registration (DR) and RAR for retinal OCT and OCTA images were quantitatively compared. Experimental results confirmed that unnormalized <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula> causes <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula>; RAR can effectively improve the performance of OCT and OCTA image registration and distortion compensation. |
| first_indexed | 2024-03-11T06:55:38Z |
| format | Article |
| id | doaj.art-8e8a63a898214c2589fbb82998191b2e |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T06:55:38Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-8e8a63a898214c2589fbb82998191b2e2023-11-17T09:39:33ZengMDPI AGBioengineering2306-53542023-03-0110331310.3390/bioengineering10030313Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel ResolutionGuangying Ma0Taeyoon Son1Tobiloba Adejumo2Xincheng Yao3Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USADepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USADepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USADepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USAAccurate image registration is essential for eye movement compensation in optical coherence tomography (OCT) and OCT angiography (OCTA). The spatial resolution of an OCT instrument is typically anisotropic, i.e., has different resolutions in the lateral and axial dimensions. When OCT images have anisotropic pixel resolution, residual distortion (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula>) and false translation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula>) are always observed after image registration for rotational movement. In this study, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> were quantitively analyzed over different degrees of rotational movement and various lateral and axial pixel resolution ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula>) values. The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> provide the evaluation criteria for image registration. The theoretical analysis confirmed that the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula> increase significantly with the rotation degree and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula>. An image resizing assisting registration (RAR) strategy was proposed for accurate image registration. The performance of direct registration (DR) and RAR for retinal OCT and OCTA images were quantitatively compared. Experimental results confirmed that unnormalized <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mi>L</mi></msub><mo>/</mo><msub><mi>R</mi><mi>A</mi></msub></mrow></semantics></math></inline-formula> causes <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>T</mi></mrow></semantics></math></inline-formula>; RAR can effectively improve the performance of OCT and OCTA image registration and distortion compensation.https://www.mdpi.com/2306-5354/10/3/313eye movementimage registrationoptical coherence tomographyoptical coherence tomography angiography |
| spellingShingle | Guangying Ma Taeyoon Son Tobiloba Adejumo Xincheng Yao Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution Bioengineering eye movement image registration optical coherence tomography optical coherence tomography angiography |
| title | Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution |
| title_full | Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution |
| title_fullStr | Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution |
| title_full_unstemmed | Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution |
| title_short | Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution |
| title_sort | rotational distortion and compensation in optical coherence tomography with anisotropic pixel resolution |
| topic | eye movement image registration optical coherence tomography optical coherence tomography angiography |
| url | https://www.mdpi.com/2306-5354/10/3/313 |
| work_keys_str_mv | AT guangyingma rotationaldistortionandcompensationinopticalcoherencetomographywithanisotropicpixelresolution AT taeyoonson rotationaldistortionandcompensationinopticalcoherencetomographywithanisotropicpixelresolution AT tobilobaadejumo rotationaldistortionandcompensationinopticalcoherencetomographywithanisotropicpixelresolution AT xinchengyao rotationaldistortionandcompensationinopticalcoherencetomographywithanisotropicpixelresolution |