Journal article
Osteocyte-based Image Analysis for Quantitation of Histologically Apparent Femoral Head Osteonecrosis: Application to an Emu Model
Computer methods in biomechanics and biomedical engineering, Vol.7(1), pp.25-32
02/01/2004
DOI: 10.1080/10255840310001634250
PMID: 14965877
Abstract
Femoral head osteonecrosis is often characterized histologically by the presence of empty lacunae in the affected bony regions. The shape, size and location of a necrotic lesion influences prognosis, and can, in principle, be quantified by mapping the distribution of empty lacunae within a femoral head. An algorithm is here described that automatically identifies the locations of osteocyte-filled vs. empty lacunae. The algorithm is applied to necrotic lesions surgically induced in the emu, a large bipedal animal model in which osteonecrosis progresses to collapse, as occurs in humans. The animals' femoral heads were harvested at sacrifice, and hematoxylin and eosin-stained histological preparations of the coronal midsections were digitized and image-analyzed. The algorithm's performance in detecting empty lacunae was validated by comparing its results to corresponding assessments by six trained histologists. The percentage of osteocyte-filled lacunae identified by the algorithm vs. by the human readers was statistically indistinguishable.
Details
- Title: Subtitle
- Osteocyte-based Image Analysis for Quantitation of Histologically Apparent Femoral Head Osteonecrosis: Application to an Emu Model
- Creators
- Karen L Reed - Department of Biomedical Engineering , University of IowaMichael G Conzemius - College of Veterinary Medicine , Iowa State UniversityRobert A Robinson - Department of Pathology , University of IowaThomas D Brown - Department of Biomedical Engineering , University of Iowa
- Resource Type
- Journal article
- Publication Details
- Computer methods in biomechanics and biomedical engineering, Vol.7(1), pp.25-32
- Publisher
- Taylor & Francis GroupAbingdon, UK
- DOI
- 10.1080/10255840310001634250
- PMID
- 14965877
- ISSN
- 1025-5842
- eISSN
- 1476-8259
- Language
- English
- Date published
- 02/01/2004
- Academic Unit
- Oral Pathology, Radiology and Medicine; Pathology; Orthopedics and Rehabilitation
- Record Identifier
- 9984047983802771
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