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Updated: Jun 14, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Recognition of anatomical predilection sites in canine elbow pathology on bone scans using micro-single photon
K Peremans1, S Vermeire, A Dobbeleir
1Department of Medical Imaging and Small Animal Orthopaedics, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium. kathelijne.peremans@ugent.be
Abstract:
The limited resolution of planar bone scintigraphy precludes exact anatomical localisation within a joint. Micro-single photon emission tomography (μ-SPECT) has a much higher resolution, and in this study the use of μ-SPECT in the evaluation of the canine elbow joint and fusion with structural imaging data were tested. Twelve elbows of seven normal dogs were included. μ-SPECT was performed with a conventional triple head gamma camera adapted with three multi-pinhole collimators (HiSPECT). Radiographs, computed tomography (CT) and magnetic resonance imaging (MRI) were performed on all elbows and data from CT and MRI were fused to the HiSPECT data using dedicated software. Different important anatomical regions could be recognised on the HiSPECT images. The improved resolution of the HiSPECT system allowed better differentiation of the anatomical areas in the elbow joint. Two case studies were included to demonstrate the potential of this methodology. Fusion software facilitated the use of combined structural and functional information.
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