隨著國人生活型態改變及飲食習慣西化，乳癌罹患率逐漸上升，目前乳癌的發生率為國內女性癌症的首位，以外科手術治療乳癌的方式，會依據乳癌擴散程度以及乳癌的種類，搭配不同術式切除乳房，然而，切除意味著乳房組織結構遭到破壞，使得乳房外形產生變化。患者可以藉由術中或術後接受乳房重建手術，在掌握乳房容積下，醫師能移植等容積量的皮瓣或是義乳，回復患者原有的乳房外形。
目前最準確估測乳房容積的方法是透過能掌握在體內的乳房分布位置的CT與MRI影像，藉由手動繪製或是利用機器學習找出影像中的乳房區域，計算出影像中的乳房容積，然而，該方法受限於醫學影像儀器普及率低、單次拍攝費用高昂等限制，並非所有患者都會進行拍攝。近年來三維掃描技術興起，掃描影像由電腦軟體轉換後，立體地呈現在螢幕中，相較於醫學影像儀器，三維掃描器輕巧、機動性高，因此本研究提出了三維掃描技術與醫學影像相結合用於估算乳房容積的創新性方法。
本研究以醫學影像建置包含胸骨(Sternum)、肋骨(Ribs)與胸大肌(Pectoralis Major, pecs)的乳下基底數位模型(Base)，並生成基底數位模型資料庫，將患者的體表掃描匯入至本研究自行開發BVE軟體中，BVE軟體會從基底數位模型庫中選擇一基底數位模型，基底數位模型依據胸大肌變形技術變形後，以推估出的患者胸大肌前側表面作為乳房的基底面，在掌握患者內部結構後，軟體便能自動地估算出患者乳房容積。
本研究以BVE軟體分割受試者乳房容積作為參考基準，檢驗受試者體表套用採用胸大肌變形技術變形的非受試者基底數位模型後估算出的乳房容積，其平均誤差絕對值超過25cm3，未達到理想乳房容積評估技術的準確度。採用胸大肌變形技術估算乳房容積的準確度仍待改進。

The primary method of treating breast cancer is through surgical intervention, where the breast is removed based on the extent and type of cancer. However, this removal results in the disruption of breast tissue structure, leading to changes in breast appearance. Individual undergoes breast reconstruction surgery either during or after the procedure. Doctors restore the individual’s original breast shape by manipulating breast volume through techniques like flap transplantation or implanting prosthetic breasts.
The most accurate method for estimating breast volume currently involves utilizing CT and MRI images that can capture the distribution of breast tissue within the body. By delineating the breast region in these images, the volume can be calculated. However, this method is constrained by factors such as the low prevalence of medical imaging equipment and the high cost of single scans, making it impractical for all individuals. In recent years, 3D scanning technology has emerged, allowing scanned images to be presented in three dimensions on a screen after conversion by computer software. Compared to medical imaging instruments, 3D scanners are lightweight and highly mobile. Therefore, this study proposes an innovative method for estimating breast volume by combining 3D scanning technology with the concept of medical imaging.
In this study, a digital base model was constructed by medical imaging, including the sternum, ribs, and pectoralis major muscle. A database of these digital base models was generated. The torso of the individual’s scanned body was imported into the software developed for this study. The software automatically applied the pectoralis major mapping techniques and estimated the individual’s internal structure. The front torso of the pectoralis major was used as the base torso for the breast, and the preoperative breast volume of the individual was automatically estimated.
The BVE software was used to segment the breast volume of the individual as a reference standard. The estimated breast volume of non-individual, based on the digital base model using the pectoralis major deformation technique, was examined. The average absolute error exceeded 25 cm3, falling to achieve the accuracy of ideal breast volume assessment techniques. The accuracy of using the pectoralis major mapping technique to estimate breast volume still requires improvement.

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