0000000000190356
AUTHOR
Rosario Salvador-palmer
Application of machine learning algorithms in thermal images for an automatic classification of lumbar sympathetic blocks
Purpose There are no previous studies developing machine learning algorithms in the classification of lumbar sympathetic blocks (LSBs) performance using infrared thermography data. The objective was to assess the performance of different machine learning algorithms to classify LSBs carried out in patients diagnosed with lower limbs Complex Regional Pain Syndrome as successful or failed based on the evaluation of thermal predictors. Methods 66 LSBs previously performed and classified by the medical team were evaluated in 24 patients. 11 regions of interest on each plantar foot were selected within the thermal images acquired in the clinical setting. From every region of interest, different t…
Thermographic imaging tool for children fracture detection
The feasibility of thermographic imaging to diagnose pediatric fractures has been studied in the last years. The advantages lie in being a cost-effective, non-harmful, non-contact and non-invasive technique, since ionizing radiations are not used to get the image. Once the pictures of the affected limb are taken, the processing becomes necessary. In order to reduce the waiting time, a software tool has been developed to provide a diagnosis shortly after taking the image. Sin financiación No data (2016) UEV
Clinical Applications
The study of the diagnostic accuracy of Infrared Thermal Imaging in the diagnosis of orthopaedic injuries in childhood has been motivated by the high incidence of these injuries throughout the world, being one of the most common reasons for urgent medical consultation. Diagnosis of musculoskeletal injuries usually involves radiography, but this exposes children without fractures to unnecessary ionising radiation. This chapter assesses whether infrared thermography could provide a viable alternative in cases of trauma. To evaluate the accuracy of this technique new thermographic variables have been added to those commonly analysed, such as the extent of the injury and the difference in the s…