Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed

Follicular lymphoma (FL) is one of the most common types of nonHodgkin lymphoma in the U.S. Diagnosis of FL is based on tissue biopsy that shows characteristic morphologic and immunohistochemical (IHC) findings. Our group's work focuses on the development of computer-aided image-analysis techniques to improve the FL grading. Since centroblast enumeration needs to be performed in malignant follicles, the development of an automated system to accurately identify follicles on digital images of lymphoid tissue is an important step. In this letter, we describe an automated system to identify follicles in IHC-stained tissue sections. A unique feature of the system described here is the use of texture and color information to mimic the process that a human expert might use to identify follicle regions. Comparison of system-generated results with expert-generated ground truth has shown promising results with a mean similarity score of 87.11%.

[1]  Benoit M. Dawant,et al.  Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.

[2]  Jun Kong,et al.  Computerized microscopic image analysis of follicular lymphoma , 2008, SPIE Medical Imaging.

[3]  Jun Kong,et al.  Computerized Pathological Image Analysis For Neuroblastoma Prognosis , 2007, AMIA.

[4]  Jagath C. Rajapakse,et al.  Segmentation of Clustered Nuclei With Shape Markers and Marking Function , 2009, IEEE Transactions on Biomedical Engineering.

[5]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[6]  Kendall Preston,et al.  Continuous class pattern recognition for pathology, with applications to non-hodgkin's follicular lymphomas , 1996, Pattern Recognit..

[7]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Anna Korzynska,et al.  Segmentation of Stained Lymphoma Tissue Section Images , 2010 .

[9]  D. Hossfeld.  E.S. Jaffe, N.L. Harris, H. Stein, J.W. Vardiman (eds). World Health Organization Classification of Tumours: Pathology and Genetics of Tumours of Haematopoietic and Lymphoid Tissues , 2002 .

[10]  S. Swerdlow,et al.  Morphometric analysis of follicular center cell lymphomas. , 1990, American Journal of Pathology.

[11]  Joel H. Saltz,et al.  Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading , 2009, J. Signal Process. Syst..

[12]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[13]  Jun Kong,et al.  Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development , 2009, Pattern Recognit..