عنوان مقاله :
روش تركيبي بخش بندي سه بعدي روده بزرگ با استفاده از مدل هاي شكل پذير هندسي بهبود يافته
عنوان به زبان ديگر :
A Hybrid 3D Colon Segmentation Method Using Modified Geometric
Deformable Models
پديد آورندگان :
فلاحيه حميدپور، شهربانو نويسنده دانشكده پزشكي-دانشگاه علوم پزشكي تهران؛جهاددانشگاهي واحد صنعتي اصفهان Falahieh Hamidpour, S. , احمديان، علي رضا نويسنده گروه فيزيك و مهندسي پزشكي-دانشگاه علوم پزشكي تهران و مركز تحقيقات علوم و تكنولوژي در پزشكي تهران Abmadian, A.R. , آقايي زاده ظروفي، رضا نويسنده دانشكده مهندسي-دانشگاه تهران Aghaeizadeh Zoroofi, Reza , شعباني صمغ آبادي، محمدعلي نويسنده دانشگاه علوم پزشكي تهران Shahani-samghabadi, M.A.
اطلاعات موجودي :
فصلنامه سال 1386 شماره 14
كليدواژه :
segmentation , كولونوسكوپي , GeometricDeformableModels(GDM) , تصاوير سي تي اسكن , مدلهاي شكل پذير هندسي , تصاوير سه بعدي , بخش بندي , 3D Images.CT Scan Images , Colonoscopy
چكيده لاتين :
Nowadays virtual colonoscopy has become a reliable and efficient method of detecting
primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of
virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis.
Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models (GDM)
in combination with an advanced region growing and thresholding methods is proposed. GDM are found
to be an attractive tool for structural based image segmentation particularly for extracting the objects
with complicated topology. There are two main parameters influencing the overall performance ofGDM
algorithm; the distance between the initial contour and the actual objectʹs contours and secondly the
stopping term which controls the deformation. To overcome these limitations, a two stage hybrid based
segmentation method is suggested to extract the rough but precise initial contours at the first stage of the
segmentation. The extracted boundaries are smoothed and improved using a modi/jed GDM algorithm by
improving the stopping terms of the algorithm based on the gradient value of image voxels.
Results: The proposed algorithm was implemented on forty data sets each containing 400-480 slices.
The results show an improvement in the accuracy and smoothness of the extracted boundaries. The
improvement obtained for the accuracy of segmentation is about 6% in comparison to the one achieved
by the methods based on thresholding and region growing only.
Discussion and Conclusion: The extracted contours using moditied GDM are smoother and finer. The
improvement achieved in this work on the performance of stopping function of GDM model together
with applying two stage segmentation of boundaries have resulted in a great improvement on the
computational efficiency ofGDM algorithm while making smoother and finer colon borders.
اطلاعات موجودي :
فصلنامه با شماره پیاپی 15 سال 1386
كلمات كليدي :
#تست#آزمون###امتحان