超越紅外線：手術導航新紀元 在外科手術中，每一毫米的差距都至關重要。雖然現有工 具能輔助醫生提升精準度，但往往存在固有缺陷，例如體 積龐大、易受遮擋與成本高昂。 為此，醫學院團隊研發出創新方案，不僅克服這些難題， 更能在高度複雜的手術中降低風險，提升安全性與精準度。 這項名為「多視角、無標記、磁性定位外科手術導航系統」 的發明，由臨床醫學學院矯形及創傷外科學系的戚威臣 博士、孟楠博士、程鵬飛博士、張騰教授及鍾培言教授共 同開發。 該系統結合電腦視覺AI與光場技術，於2025年第50屆日 內瓦國際發明展榮獲金獎。 學系系主任鍾培言教授表示：「我們的系統能協助外科醫生 精準定位手術目標，降低風險與併發症。同時促進微創手 術發展，減少手術創傷並加速患者康復。在神經外科與骨 科等複雜手術中，更能提供關鍵輔助。」 與其他採用紅外線立體攝影機及反射標記球體的手術導航 系統不同，該系統透過安裝於無影燈上的多組低成本攝影 機形成光場。系統運用AI分析攝影機傳輸的影像流，據此 定位手術器械與患者解剖結構的相對位置。 此系統具備多重優勢，包括成本效益高與減少笨重設備需 求。但最顯著的優點在於其視野永不受阻――傳統反光標 記常因醫護人員無意遮擋，導致手術中斷並需重新定位。 該系統的研發基礎源自團隊早前開發的骨科植入物通用定 位系統，系統運用磁場定位技術追蹤患者體內植入物位置， 曾於2022年日內瓦國際發明展獲銀獎。經進一步開發後， 系統已能支援多視角成像與無標記追蹤功能。團隊建構了 整合平台串聯所有技術，以進行AI訓練與演算法驗證。 鍾教授強調：「新系統的優勢在於其抗遮擋能力與無感知的 操作體驗。」 團隊的張騰教授補充：「高度穩健的智能設計讓外科醫生能 專注於手術本身，大幅減少因技術限制而需頻繁調整的狀 況。我們相信這項應用有助縮短平均手術時間、減少出血 量與手術創傷。同時可降低手術風險與術後併發症，從而 加速患者康復進程。」 real-time, based on infrared light reflected by the spheres, the system uses multiple low-cost cameras mounted on a shadowless lamp to form a light field. AI is used to analyse the video stream from the cameras and locate the surgical instruments in their relation to the patient’s anatomy. The system has many advantages, including costeffectiveness and reduced need for bulky equipment. But its most significant advantage is that its view cannot be blocked, unlike reflective markers which are often unintentionally obscured by operators, requiring the operation to be stopped and the markers repositioned. The system was developed on the back of the team’s Orthopaedic Implant General Positioning System, which tracks the position of implants in patients using magnetic field localisation. This earlier system won a Silver Award at the IEIG in 2022. It was further developed to accommodate multi-view imaging and markerless tracking. A platform was built to connect everything together for AI training and algorithm validation. ‘The strength of the new system lies in its antiobscuration capability and perception-free operating experience,’ said Professor Cheung. ‘The highly robust and intelligent design allows surgeons to focus on the surgery itself, minimising the need for frequent adjustments due to technical limitations. We believe that this application will help shorten the average operating time, minimise bleeding and reduce surgical trauma. It could also reduce surgical risks and postoperative complications, thereby shortening patient recovery time,’ Professor Zhang Teng added. 13 HKUMed News Winter 2025
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