Automatic Ultrasonographic Measurement of Abdominal Muscle Thickness with Fuzzy Binarization and Image Processing Techniques

作者：Kim Kwang Baek^*; Park Hyun Jun; Song Doo Heon; Choi Byung Kwan

来源：Journal of Medical Imaging and Health Informatics, 2016, 6(6): 1363-1369.

DOI：10.1166/jmihi.2016.1813

• Rehabilitative Ultrasound Imaging
• Abdominal Muscle
• Transversus Abdominis
• Internal Oblique
• External Oblique
• Muscle Thickness
• Fuzzy Binarization

In this paper, we propose a fully automatic abdominal muscle extractor and analyzer from ultrasound image based on fuzzy binarization technique and other supporting image processing algorithms. Utilizing muscle morphology of abdominal region, we extract fascia first and then find three target muscles-transversus abdominis, internal oblique and external oblique-successfully (average 89% of 300 input images). The thicknesses of those three muscles are automatically computed and in experiment, the error magnitude of our implemented software comparing with human field expert is within 0.6 mm for 76.7% of 300 tested DACOM ultrasound image slides. We believe that developing such an automatic extracting and analyzing software can contribute to reduce manual inspection time and operator subjectivity in rehabilitative ultrasound imaging.

• 出版日期2016-10