Extraction of Sternocleidomastoid and Longus Capitis/Colli Muscle Using Cervical Vertebrae Ultrasound Images

Effective Computer-Assisted Automatic Cervical Vertebrae Extraction with Rehabilitative Ultrasound Imaging by using K-means Clustering

“…Thus, the proposed method utilizes morphological information of cervical vertebrae in noise removal process. Figure 8 shows the difference of the proposed method and previous attempt [10] in detecting measuring key points.…”

“…In our previous attempt [10], we used fuzzy sigma binarization to control low brightness contrast by its adaptive thresholding characteristic instead of K-means pixel clustering that the proposed method offers. However, the previous approach does not consider the average brightness nor morphological characteristics of cervical vertebrae thus its performance is not stable especially when it forms the thickness measuring key points.…”

“…A recent study tried to give an automatic segmentation of cervical vertebrae from X-rays [9] but not related to muscles of our interests. Our concern is to detect and extract muscles such as sternocleidomastoid and longus capitis/colli in conjunction with cervical vertebrae automatically from ultrasonography and measuring the thickness for further medical analysis [10][11]. All In our previous study [10], we applied fuzzy sigma binarization to overcome low brightness contrast by its adaptive thresholding characteristic.…”

“…Our concern is to detect and extract muscles such as sternocleidomastoid and longus capitis/colli in conjunction with cervical vertebrae automatically from ultrasonography and measuring the thickness for further medical analysis [10][11]. All In our previous study [10], we applied fuzzy sigma binarization to overcome low brightness contrast by its adaptive thresholding characteristic. However, it does not consider the average brightness nor morphological characteristics of cervical vertebrae thus its performance is not stable especially when it forms the thickness measuring key points.…”

Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images

“…A recent study tried to give an automatic segmentation of cervical vertebrae from X-rays [ 15 ] but not related to muscles of our interests. Probably, our previous research that automatically detects sternocleidomastoid and longus capitis/colli is the only one to consider [ 16 ].…”