Intensity normalization of two-photon microscopy images for liver fibrosis analysis
This paper presents an intensity normalization method for analysis of liver tissue images, acquired using the two-photon microscopy system at different stages of fibrosis. Image informatics methods require precise intensity segmentation for analysis of collagen, vessel and cellular structures. Inten...
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| Format: | Article |
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SPIE
2019
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| Online Access: | http://hdl.handle.net/1721.1/120485 https://orcid.org/0000-0002-0339-3685 https://orcid.org/0000-0003-4698-6488 |
| _version_ | 1811088036454203392 |
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| author | Singh, Vijay Raj Rajapakse, Jagath C. Yu, Hanry So, Peter T. C. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Singh, Vijay Raj Rajapakse, Jagath C. Yu, Hanry So, Peter T. C. |
| author_sort | Singh, Vijay Raj |
| collection | MIT |
| description | This paper presents an intensity normalization method for analysis of liver tissue images, acquired using the two-photon microscopy system at different stages of fibrosis. Image informatics methods require precise intensity segmentation for analysis of collagen, vessel and cellular structures. Intensities of the images recorded at different time intervals corresponding to the progression of fibrosis could vary spatially and temporally depending on the experimental conditions. These variations significantly affect the image segmentation process and thus the final image analysis, especially when automatic computer-based methods are used for diagnostic parameters quantification. We propose an adaptive intensity normalization method that facilitates spatial and temporal intensity variations of the images before the segmentation process. The images are first portioned into a tessellation of regions with relatively uniform background pixels intensities and then the normalization is performed to make sure the intensity range is unified throughout the whole set of image data. This approach is further extended for montage of images acquired from multianode photomultiplier tube based multifocal multiphoton microscope (MMM) system. The proposed approach significantly improves the automated analysis of images with varying intensities without any user intervention. |
| first_indexed | 2024-09-23T13:55:15Z |
| format | Article |
| id | mit-1721.1/120485 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:55:15Z |
| publishDate | 2019 |
| publisher | SPIE |
| record_format | dspace |
| spelling | mit-1721.1/1204852022-10-01T18:00:31Z Intensity normalization of two-photon microscopy images for liver fibrosis analysis Singh, Vijay Raj Rajapakse, Jagath C. Yu, Hanry So, Peter T. C. Massachusetts Institute of Technology. Department of Mechanical Engineering Yu, Hanry So, Peter T. C. This paper presents an intensity normalization method for analysis of liver tissue images, acquired using the two-photon microscopy system at different stages of fibrosis. Image informatics methods require precise intensity segmentation for analysis of collagen, vessel and cellular structures. Intensities of the images recorded at different time intervals corresponding to the progression of fibrosis could vary spatially and temporally depending on the experimental conditions. These variations significantly affect the image segmentation process and thus the final image analysis, especially when automatic computer-based methods are used for diagnostic parameters quantification. We propose an adaptive intensity normalization method that facilitates spatial and temporal intensity variations of the images before the segmentation process. The images are first portioned into a tessellation of regions with relatively uniform background pixels intensities and then the normalization is performed to make sure the intensity range is unified throughout the whole set of image data. This approach is further extended for montage of images acquired from multianode photomultiplier tube based multifocal multiphoton microscope (MMM) system. The proposed approach significantly improves the automated analysis of images with varying intensities without any user intervention. 2019-02-19T18:19:11Z 2019-02-19T18:19:11Z 2011-02 2019-01-03T17:29:08Z Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/120485 Singh, Vijay Raj, Jagath C. Rajapakse, Hanry Yu, and Peter T. C. So. “Intensity Normalization of Two-Photon Microscopy Images for Liver Fibrosis Analysis.” Proceedings Volume 7903, 22-27 January, 2011, San Francisco, California, USA, edited by Ammasi Periasamy, Karsten König, and Peter T. C. So, SPIE, 2011. © 2011 SPIE. https://orcid.org/0000-0002-0339-3685 https://orcid.org/0000-0003-4698-6488 http://dx.doi.org/10.1117/12.876246 Proceedings Volume 7903, Multiphoton Microscopy in the Biomedical Sciences XI Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf SPIE SPIE |
| spellingShingle | Singh, Vijay Raj Rajapakse, Jagath C. Yu, Hanry So, Peter T. C. Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title | Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title_full | Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title_fullStr | Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title_full_unstemmed | Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title_short | Intensity normalization of two-photon microscopy images for liver fibrosis analysis |
| title_sort | intensity normalization of two photon microscopy images for liver fibrosis analysis |
| url | http://hdl.handle.net/1721.1/120485 https://orcid.org/0000-0002-0339-3685 https://orcid.org/0000-0003-4698-6488 |
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