Segmentation of Bone Marrow Biopsies by Mathematical Morphology in Color Spaces

JUAN IGNACIO PASTORE; AGUSTINA BOUCHET; EMILCE MOLER; VIRGINIA BALLARIN

IEEE LATIN AMERICA TRANSACTIONS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Lugar: New York; Año: 2013 vol. 11 p. 335 - 339

1548-0992

Anatomic and pathologic reports of histological slides give results indicating the presence of trabeculae, hematopoietic and fat cells. This allows evaluating the grade of some metabolic disorder, comparing normal values with pathological ones. Generally, quantifications are carried out by simple visual inspection presenting big inter-and intra-user differences. This work presents an automatic method for detecting different types of tissues in bone marrow biopsies using Mathematical Morphology in color spaces, in order to determine the marrow cellularity accurately. The method was tested with 30 images of bone marrow biopsies presenting different distributions of cellularity.