Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing

by   Aidana Massalimova, et al.

Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage to vital anatomical structures adjacent to the pedicle, such as the spinal cord, blood vessels, and nerves. Currently, the guidance of pedicle drilling is done using image-guided methods that are radiation intensive and limited to the preoperative information. This work proposes a new radiation-free breach detection algorithm leveraging a non-visual sensor setup in combination with deep learning approach. Multiple vibroacoustic sensors, such as a contact microphone, a free-field microphone, a tri-axial accelerometer, a uni-axial accelerometer, and an optical tracking system were integrated into the setup. Data were collected on four cadaveric human spines, ranging from L5 to T10. An experienced spine surgeon drilled the pedicles relying on optical navigation. A new automatic labeling method based on the tracking data was introduced. Labeled data was subsequently fed to the network in mel-spectrograms, classifying the data into breach and non-breach. Different sensor types, sensor positioning, and their combinations were evaluated. The best results in breach recall for individual sensors could be achieved using contact microphones attached to the dorsal skin (85.8%) and uni-axial accelerometers clamped to the spinous process of the drilled vertebra (81.0%). The best-performing data fusion model combined the latter two sensors with a breach recall of 98%. The proposed method shows the great potential of non-visual sensor fusion for avoiding screw misplacement and accidental bone breaches during pedicle drilling and could be extended to further surgical applications.


page 3

page 4

page 7

page 8


Reduced Graphene Oxide Tattoo as Wearable Proximity Sensor

The human body is punctuated with wide array of sensory systems that pro...

Optical skin: Sensor-integration-free multimodal flexible sensing

The biological skin enables animals to sense various stimuli. Extensive ...

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor

We introduce a new class of vision-based sensor and associated algorithm...

A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images

In the field of underwater vision research, image matching between the s...

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information

This paper presents a 3D visual detection method for the challenging tas...

Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space

Corrosion is a form of damage that often appears on the surface of metal...

Objective Study of Sensor Relevance for Automatic Cough Detection

The development of a system for the automatic, objective and reliable de...

Please sign up or login with your details

Forgot password? Click here to reset