A multi-constraint optimal puncture path planning algorithm for percutaneous interventional radiofrequency thermal fusion of the L5/S1 segments

• Published in: Nan fang yi ke da xue xue bao = Journal of Southern Medical University Vol. 44; no. 9; p. 1783
• Main Authors: Liu, H, Su, Z, Huang, C, Zhao, L, Chen, Y, Zhou, Y, Lü, H, Feng, Q
• Format: Journal Article
• Language: Chinese
• Published: 20-09-2024
• ISSN: 1673-4254
• DOI: 10.12122/j.issn.1673-4254.2024.09.19

To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation (PIRFT) arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.OBJECTIVETo minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation (PIRFT) arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance (MR) images of the L5/S1 segments into 7 key structures: L5, S1, Ilium, Disc, N5, Dura mater, and Skin, based on which a needle insertion path planning environment was modeled. Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion, and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to