Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A
Comparative Study with Doctors' Manual Segmentation
- URL: http://arxiv.org/abs/2205.08143v1
- Date: Tue, 17 May 2022 07:23:28 GMT
- Title: Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A
Comparative Study with Doctors' Manual Segmentation
- Authors: Yu Wang, Binbin Zhu, Lingsi Kong, Jianlin Wang, Bin Gao, Jianhua Wang,
Dingcheng Tian, and Yudong Yao
- Abstract summary: We develop a brachial plexus segmentation system (BPSegSys) based on deep learning.
BPSegSys achieves experienced-doctor-level nerve identification performance in various experiments.
We show that BPSegSys can help doctors identify brachial plexus trunks more accurately, with IoU improvement up to 27%.
- Score: 10.18353060771133
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual nerve
block anesthesia method that can observe the target nerve and its surrounding
structures, the puncture needle's advancement, and local anesthetics spread in
real-time. The key in UGNB is nerve identification. With the help of deep
learning methods, the automatic identification or segmentation of nerves can be
realized, assisting doctors in completing nerve block anesthesia accurately and
efficiently. Here, we establish a public dataset containing 320 ultrasound
images of brachial plexus (BP). Three experienced doctors jointly produce the
BP segmentation ground truth and label brachial plexus trunks. We design a
brachial plexus segmentation system (BPSegSys) based on deep learning. BPSegSys
achieves experienced-doctor-level nerve identification performance in various
experiments. We evaluate BPSegSys' performance in terms of
intersection-over-union (IoU), a commonly used performance measure for
segmentation experiments. Considering three dataset groups in our established
public dataset, the IoU of BPSegSys are 0.5238, 0.4715, and 0.5029,
respectively, which exceed the IoU 0.5205, 0.4704, and 0.4979 of experienced
doctors. In addition, we show that BPSegSys can help doctors identify brachial
plexus trunks more accurately, with IoU improvement up to 27%, which has
significant clinical application value.
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