PRS Summer 2020: Contour-based Axis Detection for X-ray Guided Surgery

Presentation on the Pattern Recognition Symposium 2020

Please ask your questions in the comments below!

Corresponding Paper:
Contour-based Bone Axis Detection for X-Ray Guided Surgery on the Knee

Authors:
Florian Kordon, Andreas Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze

Abstract:
The anatomical axis of long bones is an important reference line for guiding fracture reduction and assisting in the correct placement of guide pins, screws, and implants in orthopedics and trauma surgery. This study investigates an automatic approach for detection of such axes on X-ray images based on the segmentation contour of the bone. For this purpose, we use the medically established two-line method and translate it into a learning-based approach. The proposed method is evaluated on 38 clinical test images of the femoral and tibial bone and achieves a median angulation error of 0.19° and 0.33° respectively. An inter-rater study with three trauma surgery experts confirms reliability of the method and recommends further clinical application.

Reference:
https://arxiv.org/abs/2007.02358
(Accepted on MICCAI 2020)

Music Intro:
Damiano Baldoni - Thinking of You
https://freemusicarchive.org/music/Damiano_Baldoni/Old_Beat/Thinking_of_you_1513

Music Outro:
Damiano Baldoni - Poenia
https://freemusicarchive.org/music/Damiano_Baldoni/Crystal_Lake/Poenia

Тэги:

#deep_learning #detection #Miccai_2020

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