Evaluation of an automatic method for detection of defects in linear and curvilinear ultrasound transducers
Autor: | Robert Lorentsson, Lars Gunnar Månsson, Magnus Båth, Nasser Hosseini |
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Rok vydání: | 2020 |
Předmět: |
Quality Control
Curvilinear coordinates Receiver operating characteristic Free response Computer science business.industry Ultrasound Transducers Biophysics General Physics and Astronomy Pattern recognition General Medicine 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Transducer ROC Curve 030220 oncology & carcinogenesis Figure of merit Radiology Nuclear Medicine and imaging Artificial intelligence High incidence business Area under the roc curve Ultrasonography |
Zdroj: | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 84 |
ISSN: | 1724-191X |
Popis: | Purpose The high incidence of defective ultrasound transducers in clinical practice has been shown in several studies. Recently, a novel method using only stored images for automatic detection of defective transducers was presented. The method makes it possible to remotely monitor many transducers at the same time and send a notification when a defective transducer is found. The purpose of the present study was to evaluate the novel method and assess how well it performs when compared to an established method as reference. Methods To evaluate the novel method, in-air images were collected from 81 transducers in radiologic departments in nine hospitals. Two observers assessed the in-air images and marked the defects. Receiver operating characteristic (ROC)- and alternative free response receiver operating characteristic (AFROC)-curves and their figures of merit (FOM) were calculated for the novel method, using marked defects in the in-air images as reference truth. Results The area under the ROC curve was 0.88 (SD 0.06), and the AFROC FOM was 0.71 (SE 0.07). Conclusion The result shows that the novel method has a good agreement with the in-air method for detecting defects in ultrasound systems. This indicates that the novel method could be a complement to the normal quality control for early, and automatic detection of defects. |
Databáze: | OpenAIRE |
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