201122889 六、發明說明： 【發明所屬之技術領域】 本發明係與電腦斷層掃描影像之區域分離有關，特別 是指一種單一骨骼區域分離方法。 【先前技術】 電腦斷層掃描是以放射線穿透的方式，再經過電腦計 籲 算過後得到人體内所對應的每個位置的放射線吸收量，最 後將其轉換成灰階值後即可輸出成影像檔。因此，電腦斷 層掃描序列式影像内每個像素的灰階值代表的是這個位置 的組織對放射線的吸收程度，使用者並不能從影像中得到 各像素所對應的組織為何，僅能臆測。第二圖是多張單一 切層的電腦斷層掃描影像，位置在腹部。從圖上灰階差異 較大的地方可以約略看出一些輪廓，也可以看出某些組織 較冗’某些較暗。若要分離這些組織，由肉眼進行輪廓及 • 峨區塊的辨識就已經不太容易了，若是要由電腦從這組 只有灰階值高低的影像中，要分離出各種組織更是一件困 _事情’同樣的情況也可以套用在f賴域的區分。但 組序列式電腦斷層掃描影像動概數百張景彡像，若要以手 動進行所有切層的骨路區域區分會太過乾時，因此勢必要 以電腦進行全自動或半自動的組織分離，才能達 快速的組織擷取。 70 【發明内容】 3 201122889201122889 VI. Description of the Invention: [Technical Field of the Invention] The present invention relates to the separation of regions of computed tomography images, and more particularly to a single bone region separation method. [Prior Art] The computed tomography scan is a method of radiation penetration, and then the computer absorbs the amount of radiation absorbed at each position corresponding to the human body. Finally, it is converted into a grayscale value and then output as an image. files. Therefore, the grayscale value of each pixel in the computerized tomographic sequence image represents the degree of absorption of radiation by the tissue at this location, and the user cannot obtain the tissue corresponding to each pixel from the image, and can only speculate. The second image is a computerized tomography image of multiple single slices, positioned in the abdomen. Some contours can be roughly seen from the differences in the gray scales on the graph. It can also be seen that some tissues are more verbose and some are darker. In order to separate these tissues, it is not easy to identify the contours and the 峨 block by the naked eye. If it is to be separated from the group by the computer with only the grayscale value, it is even more difficult to separate the various tissues. The same situation can also be applied to the distinction of the domain. However, the group sequential computerized tomography image has hundreds of scenes, and if it is too dry to manually distinguish all the bone regions of the slice, it is necessary to perform automatic or semi-automatic tissue separation by computer. In order to achieve rapid organizational access. 70 [Summary of the Invention] 3 201122889
If 目⑽於提供―種單―骨純域分離 一骨路區域 、而依罪手動方式區分骨路區域就可自動分離單 00緣疋’為了達成前述目的，依據本發明所提供之一種 早L骨祕域分離方法’包含有下列步驟：a)取得三維影 象-貝料使用掃描器對一患者的待掃描部位進行斷層掃 描:藉以取得複數二維影像，並將該等二維影像儲存ς一 ^料庫中’料二料彡像巾具有複數體素點，且該等二維 〜：堆，形成一二維影像資料;b)骨骼區域成長及擷取: 一骨路區域成長，係㈣三維影像巾欲選取的骨路上設定 :該體素點為—起始種子點，再設定—起始閾值為成長條 牛’從該起始種子闕始向外絲，x要該起始種子點鄰 近之各該體素點灰雜高於該起關值，即標記成為一新 種子點’各該新種子时繼續向外成長ίϋ其它符合灰階值 高於該起始·之新種子點，制錢種子點產生即完成 該骨路區域成長而形成—祕區域；該錄區域具有一外 輪靡也可具有至少__内輪麼，記錄該外輪靡和該 於該電腦；接著，檢查該骨純域是否產生溢出現象；】 無溢出，職起關值減少—間隔值成為—第—閾值並重 新成長，這般地成長過齡持續重複，直到以—目標閑值 為成長條件時而該骨骼區域成長結束且擷取一骨骼區域. ^有溢出產±，記錄產生溢出前的一溢出前間值與二溢出 刖骨路區域’接著奴賴溢㈣骨腿域的相鄰且未被 成長的各該體素點分別為-溢域長點，由所有的該溢出 201122889 成長點以麵出制值減讀間隔麵 出於溢出骨路區域的骨絡區域記錄為—限制成長 後’重新以該起始種子點，以及該溢 s Q域’之 而此時該限制骨絡區域將不予成長^為條件成長’ ==_域成長結束，齡該== 域域财自料料-骨路區 【實施方式】 為了詳細說明本發明構造及特點所在，茲舉以下之一 較佳實施例並配合圖式說明如後，其中： 請參閱第一圖所示，本發明較之佳實施例所提供之一 種單一骨路區域分離方法，主要具有下列步驟： 3)取和·二維影像資料：使用一掃描器對一患者的待掃 描部位進行斷層掃描，藉以取得複數二維影像，如第二圖 所示，並將該等二維影像儲存於一資料庫中，該等二維影 像中具有複數體素點，且該等二維影像堆疊形成一三維影 像資料’如第三圖所示。 在此須說明，電腦斷層掃描(CT)影像中不同的人體組 織會以不同的灰階值呈現。一般而言，最外層為皮膚，往 内依序為脂肪、肌肉與骨骼，對於更細腻的64切電腦斷層 掃描(CT)影像，動靜脈、心臟、腎臟、肝臟等器官’都可 藉由調整灰階值顯示範圍而個別呈現。本實施例提供一等 位面調整介面’用以快速切換該三維影像灰階值顯示範 201122889 圍，如第四圖所示，若電腦螢幕隨即更新顯示之三維影像， 即可切換成皮膚、脂肪、肌肉、骨骼或其它軟組織之顯示 狀態。請參閱第五圖至第六圖所示，為切換成皮膚和骨骼 顯不模式之立體渲染結果。若TL與TH分別代表灰階值顯 示範圍的一下限值與一上限值，則皮膚、脂肪、肌肉與骨 路之 TL 與 TH 分別為：（1)皮膚 tl=-500、TH=-130，（2) 脂肪 TL=-130、TH=-30，（3)肌肉 tl=_3〇、TH=18〇，⑷骨 骼TL=180、TH=Tmax ’其中Tmax為影像灰階值的最大 值。對於其它器官或組織，可藉由TL與TH範圍的調整而 呈現其三維影像。 b)骨骼區域成長及擷取：在此要先說明的是，本實施 例中的種子點（Seed Point)，係指某個被標記之體素點作 2成長的起始點。鄰近關係’是每個體素點會有上下左右 刚後共六個鄰近體素點。成長條件，從種子點依據鄰近關 係向外生長時，成長條件就會限制區域不會生長到條件外 的體素點。所謂區域(RegiQn)是指體素_集合，而區域成 長（Growing)則是區域會依據鄰近關係及成長條件不斷納 =體素點而增生’進而構成—完整的區域。將區域中的任 意體素點為生長種子點時，只要在相同的成長條件下，都 會成長成同一區域，不會因種子點的改變而產生差異。骨 路區域成長，係於該三維影像中奴屬於該錄區域之一 體素點為一起始種子點A，再設定一閾值Γ，而從該起始 種子點/>,·開始，只要該起始種子點p乂六鄰近體素點灰階 值高於_值Γ即標記成—新種子點iV各該新種子點 201122889 A會繼續向外成長出其它符合灰階值高於該閾值r之新種 子點户„。這樣流程會持續進行，直到無新的種子點 '產 生，即形成一骨骼區域灭，該骨骼區域沢具有一外輪廓且 可有至少一内輪廓。取得該骨路區域Λ資料後，需記錄該 外輪廊以及该等内輪靡於該電腦，以便後續使用。 此外，於該步驟b)後係能夠由該起始種子點得到該 骨路區域a ’但該骨路區域π仍非完整的骨路區域，主要 原因在於骨路區域與骨路區域之間的間隙小且影像模糊， 導致在成長該骨路區域β時容易產生溢出現I為了防止 成長過私發生溢出，本實施例另判斷該骨骼區域及是否產 生溢出’若是發生溢出關始進行―溢…肖除步驟來限制 該骨胳區域Λ溢出的現象。 請參閱第七至十-圖所示，如第七圖所示圖中線交又 的位置。又疋4起始種子點，第八圖顯示該骨絡區域及成 長後尚未發生溢出的情形。請參閱第九圖所示，當該閣值 r降低時’則树路區域π開始發生溢出現象。判斷該典 路區域及是否溢出，係以溢出前後該骨龍域•素: 量之比值做為依據，若該比值大於1設值時 經發生溢th ’本實施例之該預設值為3/4。請參閱第十: :，當溢出情形發生後，記錄的一溢出前_ U 刖骨路區域尤，接著以該溢出前骨路區域兄的—周/ ^作為_骨祕域的成長點，由賴群A配合 e減去-間隔值」Γ，在本實施例中，該間隔值抑:間值 進仃成長’在本實_中的該點群&有三溢出成長點1 ’ r* 7 201122889 於該溢出前骨骼區域兄成長時會成 域。如第十一圖所示，一該溢出成長 ’的月骼區 成溢出的骨㈣域，但將限制不成長'=長後皆會形 路區域兄’第十圖顯示由該點群心所成m的該臨界骨 兄。在實際的影像中’透過以上方：區域 ™始種子叫繼續降_=:= :=7上長二長:程會避開該限制_域： 避免溢出’ 乂上為月路區域溢出的判斷以及避免方去 ==:圖所示’該溢出消除步驟的流程如下: (1)首先將該起始種子點設定於料 Γ:等於一起始閾μ進行該骨:區二 長。此外也需設定一目標閾值乃。 ⑺檢查該㈣區❹是衫纽出縣。 =值=少該間隔…重新成長，直到該閾值Γ 等於到-目標閾值[時，結束成長。 (:)若於該閾值Γ進行成長該骨骼區域及時，產生溢出 間隔值義該產魏出前的臨界間值7^等於間訂增加 路區域7? i讀於該臨界下所成長的該臨界骨 職為軸目鄰财未誠長的體素 行有該點料與該臨界[減少間隔值錢 域從成長’並將成長出溢出骨龍域的骨路區 錄區域九。 斤以遠起始種子點•與該閾值Γ等於該臨界閾值 201122889 長骼£域成長’而此時該限制骨骼區域尽將不予成 值^減少間隔值^並重新成長。 時，成長結束述步驟2至6，直到該間值Γ等於該間值Γ,If (10) provides a “bone-only” domain to separate the bone path area, and manually distinguishes the bone path area according to the crime, it can automatically separate the single-word edge. In order to achieve the foregoing purpose, an early L is provided according to the present invention. The method of separating the bone domain includes the following steps: a) obtaining a three-dimensional image - a material for scanning a portion of a patient to be scanned using a scanner: to obtain a plurality of two-dimensional images and storing the two-dimensional images In the library, the material of the material has a plurality of voxel points, and the two-dimensional ~: heap forms a two-dimensional image data; b) the growth and extraction of the bone region: Department (4) 3D image towel to be selected for the bone path setting: the voxel point is - the starting seed point, and then set - the starting threshold is the growing bar 'from the starting seed to the outer wire, x to start Each of the voxel points adjacent to the seed point is higher than the threshold value, that is, the mark becomes a new seed point. 'The new seed continues to grow outward. ϋ Other new seeds that meet the grayscale value higher than the start. Point, the money seed point is generated to complete the growth of the bone road area Forming a secret area; the recorded area has an outer rim and may have at least __ inner wheel, recording the outer rim and the computer; and then checking whether the bone pure domain is overflowing; The value of the threshold is reduced - the interval value becomes the -th threshold and re-grows, and the growth of the ageing is repeated until the growth of the bone region is completed and the bone region is finished and a bone region is extracted. Production ±, recording an overflow pre-overflow value before the overflow and the second overflow of the humeral road region 'then slaves (4) the bone leg domain adjacent to each of the voxel points are - overflow long points, From all the spills 201122889 growth point to face out the value of the subtraction interval surface is recorded as the ossue area of the overflow bone path area - after limiting growth 're-starting the seed point, and the overflow s Q domain' At this time, the restricted bone region will not grow. The condition grows. '==_ Domain growth ends, age == domain domain self-materials-bone road area [Embodiment] In order to explain the structure and characteristics of the present invention in detail Where, here is one of the following The preferred embodiment is described with reference to the following figures, wherein: Referring to the first figure, a single bone path region separation method provided by the present invention is better than the preferred embodiment, and has the following steps: 3) Dimensional image data: a scanner is used to perform a tomographic scan on a portion of a patient to be scanned, thereby obtaining a plurality of two-dimensional images, as shown in the second figure, and storing the two-dimensional images in a database. The two-dimensional image has a plurality of voxel points, and the two-dimensional images are stacked to form a three-dimensional image data as shown in the third figure. It should be noted here that different human tissues in computed tomography (CT) images are presented with different grayscale values. In general, the outermost layer is the skin, which is followed by fat, muscle and bone. For the more delicate 64-cut computed tomography (CT) image, the arteries, veins, heart, kidney, liver and other organs can be used. Adjust the grayscale value display range and present it individually. In this embodiment, an equal-plane adjustment interface is provided to quickly switch the gray-scale value display range 201122889 of the three-dimensional image. As shown in the fourth figure, if the computer screen updates the displayed three-dimensional image, the skin can be switched to skin and fat. , the display state of muscles, bones or other soft tissues. See the fifth to sixth figures for the stereo rendering of the skin and bone mode. If TL and TH represent the lower limit and the upper limit of the gray scale value display range, respectively, the TL and TH of skin, fat, muscle and bone path are: (1) skin tl=-500, TH=-130 (2) Fat TL=-130, TH=-30, (3) Muscle tl=_3〇, TH=18〇, (4) Skeletal TL=180, TH=Tmax ' where Tmax is the maximum value of the image grayscale value. For other organs or tissues, three-dimensional images can be presented by adjusting the TL and TH ranges. b) Bone region growth and extraction: It should be noted here that the seed point in this embodiment refers to a marked starting point of a labeled voxel point. The proximity relationship is that each voxel point has a total of six adjacent voxel points. Under the condition of growth, when the seed point grows outward according to the neighboring relationship, the growth condition restricts the region from growing to the voxel point outside the condition. The so-called region (RegiQn) refers to the voxel_collection, while the region growth (Growing) is the region that will continuously accumulate according to the neighboring relationship and growth conditions = voxel point and then form a complete region. When any voxel in a region is a growing seed point, it will grow into the same region under the same growth conditions, and there will be no difference due to the change of the seed point. The growth of the bone path region is in the three-dimensional image, and one of the voxel points belonging to the recorded area is a starting seed point A, and a threshold value 再 is set, and starting from the starting seed point />,· The starting seed point p乂6 adjacent voxel point gray level value is higher than the _ value, that is, marked as - new seed point iV each new seed point 201122889 A will continue to grow out other gray level value higher than the threshold r The new seed is ordered „. This process will continue until no new seed points are generated, ie a bone region is formed, which has an outer contour and can have at least one inner contour. After the data, the outer wheel gallery and the inner wheel are recorded for the subsequent use. In addition, after the step b), the bone path area a ' can be obtained from the starting seed point but the bone path area π The main reason for the incomplete bone path area is that the gap between the bone path area and the bone path area is small and the image is blurred, which causes the overflow of the bone path area β. I want to prevent the growth from overflowing. Another judgment of the embodiment The skeletal area and whether or not there is an overflow. If the overflow occurs, the overflow process is performed to limit the overflow of the bone area. Please refer to the seventh to tenth-picture, as shown in the seventh figure. The position of the intersection is again. The starting point is 疋4, and the eighth picture shows the area of the skeletal area and the situation that has not overflowed after the growth. Please refer to the figure IX, when the value r is lowered, the tree area is π begins to overflow phenomenon. Judging whether the road area and whether it overflows is based on the ratio of the bone dragon field before and after the overflow, if the ratio is greater than 1 set value, the overflow occurs. The default value is 3/4. Please refer to the tenth: :, when the overflow situation occurs, record an overflow before the _ U 刖 bone road area, and then use the pre-overflow bone area brother's - week / ^ as _ In the present embodiment, the interval value is suppressed: the value of the interval is increased by the value of the point domain & Spill growth point 1 ' r* 7 201122889 The bone region will grow into a domain before the overflow. As shown in the eleventh figure, the overflowing growth of the monthly iliac area into the overflowing bone (four) domain, but will limit the growth of the '= long will be shaped road area brothers' tenth map shows the heart of the group The critical bone brother of m. In the actual image, 'through the upper: area TM start seed is called to continue to drop _=:= :=7 on the long two long: the course will avoid the limit _ domain: avoid overflow ' 乂 on the monthly road area overflow judgment And avoid the square ==: The flow of the overflow elimination step is as follows: (1) First set the starting seed point to the material: equal to a starting threshold μ to perform the bone: area two long. In addition, a target threshold is also required. (7) Check that the (four) district is the county of the shirt. = value = less the interval... re-grow until the threshold Γ equals the - target threshold [when, the end of growth. (:) If the skeletal region is grown at the threshold 及时, the overflow interval value is generated. The critical interval value before the production is 7^ is equal to the intervening increase path region 7? i reads the critical bone grown under the criticality The voxel line that is not a long-term leader of the axis is the same as the threshold [reducing the interval value of the money field from growing up] and will grow out of the bone road area of the bone dragon field. Starting from the point of the seed point • and the threshold value Γ is equal to the critical threshold value 201122889 The length of the bone area is growing, and at this time the restricted bone area will not be valued ^ reduce the interval value ^ and re-grow. At the end of the growth, steps 2 to 6 are described until the value Γ is equal to the value Γ,
然而，一般在電腦斷層掃描 ：：1^ 析戶的骨絡雖然是硬質骨，但受限於影像解 薄的硬質骨’在電腦斷層掃描影像上的灰 值也會偏低。對此本㈣更提供以下處理步驟： C)骨路區域補償：請參閱第十三、十四圖。該骨路區 域補償步驟，具有—骨路區域膨脹、—骨路區域收縮和— 骨骼區域填滿。 該骨胳區域膨脹法是將該骨絡區域及向外擴張，亦即 各該骨路區域中的各該體素點都沿其六鄰近體素點向外 長出一個體素點。從六鄰近體素點來看，若單一骨路區域 體素點擴張’則鄰近該體素點的六體素點都會變成該骨路 區域Λ體素點。將現有各該骨路區域沢體素點朝六鄰近向 外生長後就完成此骨骼區域及的膨脹。 該骨骼區域收縮法是將各該骨骼區域π向内縮小，即 與該骨骼區域i?以外的各該體素點鄰接的該骨骼區域尺中 的體素點，都要被變吏成該骨骼區域R以外的體素點。各 該骨骼區域R内每個體素點皆須檢查其六鄰近體素點是否 有任一體素點為該骨骼區威外的體素點，若有則將該體素 201122889 點變為該骨路區域外的體素點，若無則保留為 内體素點。 月璐&域 經由該骨路區域膨脹法與該骨絡區域收縮法 讓骨路區域π邊界輪廊更為平順。惟’該骨路區域法 和该骨絡區域收縮法僅能修正該骨路區域及内 資料，該骨路區域及内部仍會有複數大小不-的孔^ 該骨路區域填滿是要針對各該内部孔洞進行補償。而 該骨絡區域填滿，係以三維方式進行，其當各該骨路 區域々内部-體素輯滿後，_會有—填滿職依 素點之六鄰近體素點進行測試。若有一該體素點係超出泫 骨路區域邊界’職⑽骨祕❹為職式，不應被填Χ 滿，而該骨純域已被體素點填滿的部份將會 真滿狀‘4 ’右领素點測試未超出該倾區域π邊界 代表該體素點在三維空間中完全被骨路區域可 :填滿。請參閱第十五圖至第十八圓所示，第十五圖= =資料中的-層，並依上述方法棟取出單_骨路區域’ 第十六圖所示；該骨路區域於此切層上有許多孔洞，但 =有三個是属於不可被填滿的孔洞；第十七圖是僅依照 維影像的資訊進行二維内部填滿的結果第十八圖 ΙΓ以上述三維内部填滿後之結果；該骨絡區域填滿法雖 …、:可以有效地將该骨路區域内部孔洞消除，但受限於成長 2骨絡區域孔洞必須是封閉的。若要不能改變該骨路區 °、，型同時要讓未封閉的孔洞變成封閉’就要讓骨路區 桃脹後、内部填滿完而再進行骨絡區域收縮，因此，本 201122889 實施例之骨骼區域補償步驟，係先採用該骨骼區域膨脹和 該骨骼區域填滿再運用該骨骼區域收縮。 201122889 【圖式簡單說明】 第一圖係本發明較佳實施例之步驟流程圖。 第二圖係二維電腦斷層掃描影像顯示示意圖。 第三圖係三維電腦斷層掃描影像顯示示意圖。 第四圖係本發明較佳實施例之示意圖，顯示位面調整 之操作介面。 第五圖係本發明較佳實施例之示意圖，切換成皮膚顯 示模式之立體渲染結果。 第六圖係本發明較佳實施例之示意圖，切換成骨骼顯 示模式之立體渲染結果。 第七圖係本發明較佳實施例之骨骼區域示意圖，顯示 設定起始種子點。 第八圖係本發明較佳實施例之骨骼區域示意圖，顯示 骨骼區域成長後尚未發生溢出之示意圖。 第九圖係本發明較佳實施例之骨骼區域示意圖，顯示 當閾值降低時，則骨骼區域開始發生溢出現象。 第十圖係本發明較佳實施例之骨骼區域示意圖，顯示 臨界骨骼區域的周圍點群。 第十一圖係本發明較佳實施例之骨骼區域示意圖，顯 示限制骨骼區域。 第十二圖係本發明較佳實施例之溢出消除步驟流程 圖。 第十二圖係本發明較佳實施例之示意圖，顯示骨路區 域仍不夠完整。 201122889 第十四圖係本發明較佳實施例之示意圖’顯示骨骼區 域經過骨骼區域膨脹法、骨骼區域收縮法及骨骼區域填滿 法的組合處理後的情況。 第十五圖係本發明較佳實施例之使用示意圖，顯示一 頸椎部位之電腦斷層掃描影像，黃色部分係藉由本發明所 戴取出之骨組織。However, generally in the computed tomography scan:1, the bones of the households are hard bones, but the hard bones limited by image thinning are also low in the computed tomography image. For this (4), the following processing steps are provided: C) Bone road area compensation: Please refer to Figures 13 and 14. The bone road area compensation step has an expansion of the bone road area, a contraction of the bone road area, and a filling of the bone area. The bone region expansion method expands the bone region and outwards, that is, each of the voxel points in each of the bone region increases a voxel point along its six adjacent voxel points. From the point of view of the six neighboring voxels, if the single voxel area voxel point expands, then the six voxel point adjacent to the voxel point will become the voxel point of the bone path area. The swelling of the skeletal region is completed by growing the existing voxel points of the bone region toward the six adjacent regions. The skeletal region contraction method is to reduce each of the skeletal regions π inwardly, that is, the voxel points in the skeletal region adjacent to the voxel points other than the skeletal region i? are converted into the skeleton Voxel points outside the region R. Each voxel point in each skeletal region R must check whether its six adjacent voxel points have any voxel point as the voxel point of the skeletal region. If so, the voxel 201122889 point becomes the bone path. Voxel points outside the area, if not, remain as endogenous points. The lunar region & field is smoothed by the bone tunnel region expansion method and the bone region region contraction method. However, the bone path area method and the bone area contraction method can only correct the bone path area and the internal data, and the bone path area and the interior still have a plurality of holes that are not - the bone path area is filled with Each of the internal holes is compensated. The filling of the bone region is performed in a three-dimensional manner, and when each of the bone regions is filled with internal voxels, the _ will be filled with six adjacent voxel points of the occupational point to test. If there is a voxel point that is beyond the boundary of the humeral road area, the occupational (10) bone secret is not filled, and the part of the bone pure domain that has been filled by the voxel point will be full. The '4' right-handed prime point test does not exceed the tilting zone. The π boundary represents that the voxel point can be completely filled in the three-dimensional space by the bone path area: Please refer to the fifteenth to eighteenth circles, the fifteenth figure = = the layer in the data, and according to the above method, the _ bone road area is taken out as shown in the sixteenth figure; There are many holes in this slice, but there are three holes that are not filled. The seventeenth picture is the result of two-dimensional internal filling only according to the information of the dimensional image. The result of the fullness; the bone filling area method can effectively eliminate the internal pores in the bone path area, but is limited by the growth 2 bone area hole must be closed. If you can't change the bone road area °, the type must make the unclosed hole become closed. 'It is necessary to make the bone area to be swollen and the inside is filled up and then the bone area is shrunk. Therefore, this 201122889 embodiment The skeletal region compensation step is to first use the skeletal region to expand and fill the skeletal region to retract the skeletal region. 201122889 [Simple Description of the Drawings] The first drawing is a flow chart of the steps of the preferred embodiment of the present invention. The second picture is a schematic diagram of a two-dimensional computed tomography image display. The third picture is a schematic diagram of the three-dimensional computed tomography image display. The fourth figure is a schematic view of a preferred embodiment of the present invention showing the operation interface of the plane adjustment. The fifth drawing is a schematic view of a preferred embodiment of the present invention, switching to a stereoscopic rendering result of the skin display mode. The sixth drawing is a schematic view of a preferred embodiment of the present invention, switching to a stereoscopic rendering result of the bone display mode. Figure 7 is a schematic illustration of a bone region of a preferred embodiment of the present invention showing the setting of the starting seed point. The eighth figure is a schematic view of a bone region in accordance with a preferred embodiment of the present invention, showing a schematic diagram in which the bone region has not overflowed after it has grown. The ninth drawing is a schematic view of a bone region in accordance with a preferred embodiment of the present invention, showing that when the threshold is lowered, the bone region begins to overflow. The tenth figure is a schematic view of a bone region of a preferred embodiment of the present invention showing a surrounding point group of a critical bone region. The eleventh diagram is a schematic view of a bone region in accordance with a preferred embodiment of the present invention, showing a restricted bone region. Fig. 12 is a flow chart showing the overflow elimination step of the preferred embodiment of the present invention. Fig. 12 is a schematic view of a preferred embodiment of the present invention showing that the bone road area is still not complete. 201122889 Fig. 14 is a schematic view showing a preferred embodiment of the present invention, showing a combination of a bone region expansion method, a bone region contraction method, and a bone region filling method. Fig. 15 is a schematic view showing the use of a preferred embodiment of the present invention, showing a computed tomography image of a cervical vertebra, and the yellow portion is taken out of the bone tissue taken by the present invention.
第十六圖係本發明較佳實施例之使用示意圖，顯示一 擷取後頸椎骨組織之三維顯示影像。 第十七圖係本發明較佳實施例之使用示意圖，顯示一 頌椎部位之電腦斷層掃描影像，黃色部分係由本發明之方 去所戴取出之骨組織，並於擷取後進行傳統的二維内部填 滿。以及 、 _ 第十八圖係本發明較佳實施例之使用示意圖，顯示一 7<卩位之電私斷層掃描影像，黃色部分係藉由本發明所 戴取出之骨組織，並於擷取後進行本發明之三維内部填滿。 【主要元件符號說明】 TL上限值 TH下限值 巧起始種子點 T閾值 A新種子點 Θ骨骼區域 1溢出前閾值 圮溢出前骨骼區域 471間隔值 尤溢出前骨骼區域 A周圍點群 間隔值 A溢出成長點 足·限制骨骼區域 1起始閾值 Γ，目標閾值 13Fig. 16 is a schematic view showing the use of a preferred embodiment of the present invention, showing a three-dimensional display image of the posterior cervical vertebrae. Figure 17 is a schematic view showing the use of a preferred embodiment of the present invention, showing a computed tomography image of a vertebrae portion, the yellow portion being worn by the side of the present invention, and the traditionally removed bone tissue is taken after the extraction. The dimension is filled inside. And, FIG. 18 is a schematic view showing the use of the preferred embodiment of the present invention, showing a 7<卩-electrical CT scan image, and the yellow portion is taken out by the bone tissue taken by the present invention and taken after the extraction. The three-dimensional interior of the present invention is filled. [Main component symbol description] TL upper limit TH lower limit value start seed point T threshold A new seed point skeletal area 1 pre-overflow threshold 圮 overflow pre-skeletal area 471 interval value especially overflow before skeletal area A surrounding point group interval Value A overflow growth point enough · Limit bone area 1 start threshold Γ, target threshold 13