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基于拓?fù)渌惴ǖ母闻K腫瘤消融術(shù)前路徑規(guī)劃系統(tǒng)
A preoperative path planning system for liver tumor ablation based on topological algorithms |
| 作者： 徐旭 朱文文 夏棟 巫彤寧 陳新華 李從勝 |
| 單位：中國(guó)信息通信研究院泰爾終端實(shí)驗(yàn)室（北京100191) 浙江大學(xué)附屬第一醫(yī)院（杭州 310003） <p>通信作者：李從勝，高級(jí)工程師。E-mail: [email protected]</p> <p> </p> |
| 關(guān)鍵詞： 肝腫瘤;計(jì)算機(jī)輔助; 消融針; 路徑規(guī)劃; 臨床約束條件 |
| 分類號(hào)：R318.04 <p> </p> |
| 出版年·卷·期（頁(yè)碼）：2022·41·2（111-117） |
| 摘要： |
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目的 探索提高肝癌消融術(shù)路徑規(guī)劃的準(zhǔn)確性和肝癌消融術(shù)療效的方法。方法 研究結(jié)合病患個(gè)體解剖特征的多約束進(jìn)針路徑規(guī)劃模型，優(yōu)化符合病患病灶分布特征的術(shù)前方案。本文提出深度學(xué)習(xí)模型以提高患者腹部組織器官重建精度，并設(shè)計(jì)拓?fù)鋬?yōu)化算法進(jìn)行多約束進(jìn)針路徑規(guī)劃。結(jié)果 系統(tǒng)通過(guò)重建患者腹部多組織數(shù)字模型，分析病灶和周圍組織位置關(guān)系，制定滿足臨床條件的進(jìn)針路徑。結(jié)論 本文所提出的肝腫瘤消融術(shù)前路徑規(guī)劃，可實(shí)現(xiàn)融合病患個(gè)體特征的可行手術(shù)穿刺方案制定，臨床40例肝腫瘤患者術(shù)后增強(qiáng)影像顯示病灶均完全消融，技術(shù)有效率達(dá)100%。
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Objective Explore ways to improve the accuracy of ablation pathway planning and the efficacy of ablation for hepatocellular carcinoma. Methods A multi-constrained approach path planning model incorporating individual patient anatomical features is investigated to optimize a preoperative plan that matches the patient's lesion distribution characteristics. This paper proposes a deep learning model to improve the accuracy of the patient's abdominal tissue and organ reconstruction, and designs a topology optimization algorithm for multi-constrained approach path planning. Results By reconstructing a multi-tissue digital model of the patient's abdomen, the system analyses the relationship between the location of the lesion and the surrounding tissues and develops a needle path that meets the clinical conditions. Conclusions The preoperative pathway planning for liver tumor ablation proposed in this paper enables the development of a feasible surgical puncture plan that incorporates individual patient characteristics. 40 patients with liver tumors were completely ablated on postoperative enhanced imaging, with a technical efficiency of 100%.
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