3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models

نویسندگان

  • Xinyi Cui
  • Shaoting Zhang
  • Yiqiang Zhan
  • Mingchen Gao
  • Junzhou Huang
  • Dimitris N. Metaxas
چکیده

The construction of 3D anatomical shape atlas has been extensively studied in medical image analysis research for a variety of applications. Among the multiple steps of shape atlas construction, establishing anatomical correspondences across subjects is probably the most critical and challenging one. The adaptive focus deformable model (AFDM) [16] was proposed to tackle this problem by exploiting crossscale geometry characteristics of 3D anatomy surfaces. Although the effectiveness of AFDM has been proved in various studies, its performance is highly dependent on the quality of 3D surface meshes. In this paper, we propose a new framework for 3D anatomical shape atlas construction. Our method aims to robustly establish correspondences across different subjects and simultaneously generate high-quality surface meshes without removing shape detail. Mathematically, a new energy term is embedded into the original energy function of AFDM to preserve surface mesh qualities during the deformable surface matching. Shape details and smoothness constraints are encoded into the new energy term using the Laplacian representation An expectation-maximization style algorithm is designed to optimize multiple energy terms alternatively until convergence. We demonstrate the performance of our method via two diverse applications: 3D high resolution CT cardiac images and rat brain MRIs with multiple structures.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI

In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework that creates a 3D object mesh from a 2D stack of contours, based on geometry processing algorithms and a semi-constrained deformation method. The geometry processing methods include decimation, detail preserved smoothing...

متن کامل

Construction and Simplification of Bone Density Models

This paper presents a hierarchical tetrahedral mesh model to represent the bone density atlas. We propose and implement an efficient and automatic method to construct hierarchical tetrahedral meshes from CT data sets of bony anatomy. The tetrahedral mesh is built based on contour tiling between CT slices. The mesh is then smoothed using an enhanced Laplacian algorithm. And we approximate bone d...

متن کامل

Construction of Multi-Component Statistical Shape Models of Bone Anatomy

Statistical modeling and analysis of anatomical shape is an active subject of medical imaging research with applications such as segmentation, reconstruction, population analysis. In general, statistical models of single anatomical regions like pelvis, femur etc. are constructed and analyzed even though the anatomical parts are surrounded by other organs. The neighboring organs offer a variety ...

متن کامل

Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy

BACKGROUND In the active shape model framework, principal component analysis (PCA) based statistical shape models (SSMs) are widely employed to incorporate high-level a priori shape knowledge of the structure to be segmented to achieve robustness. A crucial component of building SSMs is to establish shape correspondence between all training shapes, which is a very challenging task, especially i...

متن کامل

Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration

In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs are build by performing a statistical analysis of the deformations required to map anatomical features in one subject into the corresponding features in another subject. The concept of SDMs is similar to active shape models (ASM...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012