- 期刊
Identification of Liver Lobes Based on Anatomic Knowledge: With CT during Arterial Portography
利用解剖資訊進行肝臟分葉：以CTAP影像為主
摘要
患有惡性肝腫瘤之病人，在經過適合範圍之腫瘤切除之後，已證明可具有相當之存活率。而手術適合與否及切除範圍之評估則必須仰賴腫瘤各種相關資料，包括病變區域個數、大小、其在肝葉之位置、及與肝血管間之相對位置關係。這些資料中腫瘤所在之肝葉及其與附近血管相對之位置，為手術前評估重要資料資料。本論文中嘗試利用影像處理技術自動尋找肝臓解剖之知識，由一系列CTAP影像中，白動進行肝臟分葉。本論文所採用的解剖知識包括膽囊、下腔靜脈(IVC)、肝臟靜脈(hepatic vein)、門靜脈(portal vein)及韌帶裂縫(fissure ligament)等常為放射科醫師所採用作為肝臟分葉的主要資料。期望透過本論文之成果，促使利用電腦輔助自動標示腫瘤所在肝葉，有朝一日得以實現。
並列摘要
Patients with certain types of malignant hepatic tumors have been shown to have an improved long-term survival rate, if they undergo the hepatic resection of lesions with sufficient tumor-free margins. Preoperatively, it is important that certain vital information, which includes the number and sizes of lesions, the segmental extent and locations, and the relationship of the tumors to the hepatic vasculature, be captured for determining the resectability and planning the type of resection. In general, this information was provided by the experienced radiologists based on the examination of a sequence of CTAP image slices of patients. In this paper, anatomical knowledge in depicting the liver segments was realized into a computerized method, in order that the liver segmental description can be put into a computer system. The anatomical features used in the system include the positions of gallbladder, IVC, portal veins, hepatic veins, and ligaments, which are usually adopted by doctors in delineating the liver segments. Image processing techniques are applied to extract these anatomical features. The proposed method makes the idea of using computer for help in identifying focal lesions to specific hepatic segments possible, which would provide radiologists and surgeons with significant assistant in depicting the liver anatomical segments.