Carnegie Mellon Robotics Institute
Sung Eun Eom, Ryoma Bise, and Takeo Kanade
The IEEE International Symposium on Biomedical Imaging, April, 2010.
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| Abstract |
| We present a method for robustly detecting hematopoietic stem cells (HSCs) in phase contrast microscopy images. HSCs appear to be easy to detect since they typically appear as round objects. However, when HSCs are touching and overlapping, showing the variations in shape and appearance, standard pattern detection methods, such as Hough transform and correlation, do not perform well. The proposed method exploits the output pattern of a ring filter bank applied to the input image, which consists of a series of matched filters with multiple-radius ring-shaped templates. By modeling the profile of each filter response as a quadratic surface, we explore the variations of peak curvatures and peak values of the filter responses when the ring radius varies. The method is validated on thousands of phase contrast microscopy images with different acquisition settings, achieving 96.5% precision and 94.4% recall. |
| Notes |
Associated Center(s) / Consortia:
Medical Robotics Technology Center Associated Lab(s) / Group(s):
Tissue Engineering Associated Project(s):
Cell Tracking Number of pages: 4 |
| Text Reference |
| Sung Eun Eom, Ryoma Bise, and Takeo Kanade, "Detection of Hematopoietic Stem Cells in Microscopy Images Using a Bank of Ring Filters," The IEEE International Symposium on Biomedical Imaging, April, 2010. |
| BibTeX Reference |
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@inproceedings{Eom_2010_6586, author = "Sung Eun Eom and Ryoma Bise and Takeo Kanade", title = "Detection of Hematopoietic Stem Cells in Microscopy Images Using a Bank of Ring Filters", booktitle = "The IEEE International Symposium on Biomedical Imaging", month = "April", year = "2010", } |
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