3-D Ultrasound Imaging Reliability of Measuring Dysplasia Metrics in Infants
| Autor: | Anthony Cooper, Kishore Mulpuri, Niamul Quader, Rafeef Garbi, Antony J. Hodgson |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Acoustics and Ultrasonics Computer science Biophysics 030218 nuclear medicine & medical imaging 03 medical and health sciences Femoral head Imaging Three-Dimensional 0302 clinical medicine medicine Humans Radiology Nuclear Medicine and imaging Hip Dislocation Congenital Ultrasonography 030222 orthopedics Radiological and Ultrasound Technology business.industry Ultrasound Infant Reproducibility of Results medicine.disease Acetabular dysplasia Random forest Benchmarking medicine.anatomical_structure Dysplasia Coronal plane Outlier Radiology Abnormality business |
| Zdroj: | Ultrasound in Medicine & Biology. 47:139-153 |
| ISSN: | 0301-5629 |
| DOI: | 10.1016/j.ultrasmedbio.2020.08.008 |
| Popis: | Developmental dysplasia of the hip is a hip abnormality that ranges from mild acetabular dysplasia to irreducible femoral head dislocations. While 2-D B-mode ultrasound (US)-based dysplasia metrics or disease metrics are currently used clinically to diagnose developmental dysplasia of the hip, such estimates suffer from high inter-exam variability. In this work, we propose and evaluate 3-D US-derived dysplasia metrics that are automatically computed and demonstrate that these automatically derived dysplasia metrics are considerably more reproducible. The key features of our automatic method are (i) a random forest-based learning technique to remove regions across the coronal axis that do not contain bone structures necessary for dysplasia-metric extraction, thereby reducing outliers; (ii) a bone segmentation method that uses rotation-invariant and intensity-invariant filters, thus remaining robust to signal dropout and varying bone morphology; (iii) a novel slice-based learning and 3-D reconstruction strategy to estimate a probability map of the hypoechoic femoral head in the US volume; and (iv) formulae for calculating the 3-D US-derived dysplasia metrics. We validate our proposed method on real clinical data acquired from 40 infant hip examinations. Results show a considerable (around 70%) reduction in variability in two key 3-D US-derived dysplasia metrics compared with their 2-D counterparts. |
| Databáze: | OpenAIRE |
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