Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Heimann, Tobias; Wolf, Ivo; Meinzer, Hans-Peter

doi:10.1007/11866763_6

Cited by 59 publications

(50 citation statements)

References 8 publications

(7 reference statements)

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“…Statistical form models learn the mean organ form with its variants from training data. Using even the current models, it can be shown that the work of segmentation can be significantly reduced for the liver [19] . …”

Section: Klauß M Et Al 3d-reconstructions In Pancreatic Carcinomamentioning

confidence: 99%

Value of three-dimensional reconstructions in pancreaticcarcinoma using multidetector CT: Initial results

Klauß¹,

Schöbinger²,

Wolf³

et al. 2009

WJG

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AIM:To evaluate the use of three-dimensional imaging of pancreatic carcinoma using multidetector computed tomography (CT) in a prospective study. METHODS:Ten patients with suspected pancreatic tumors were examined prospectively using multidetector CT (Somatom Sensation 16, Siemens, Erlangen, Germany). The images were evaluated for the presence of a pancreatic carcinoma and invasion of the peripancreatic vessels and surrounding organs. Using the isotropic CT data sets, a three-dimensional image was created with automatic vascular analysis and semiautomatic segmentation of the organs and pancreatic tumor by a radiologist. The CT examinations and the three-dimensional images were presented to the surgeon directly before and during the patient's operation using the Medical Imaging Interaction Toolkit-based software "ReLiver". Immediately after surgery, the value of the two images was judged by the surgeon. The operation and the histological results served as the gold standard. RESULTS:Nine patients had a pancreatic carcinoma (all pT3), and one patient had a serous cystadenoma. One tumor infiltrated the superior mesenteric vein. The infiltration was correctly evaluated. All carcinomas were resectable. In comparison to the CT image with axial and coronal reconstructions, the three-dimensional image was judged by the surgeons as better for operation planning and consistently described as useful. CONCLUSION:A 3D-image of the pancreas represents an invaluable aid to the surgeon. However, the 3D-software must be further developed in order to be integrated into daily clinical routine.

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Section: Klauß M Et Al 3d-reconstructions In Pancreatic Carcinomamentioning

confidence: 99%

Value of three-dimensional reconstructions in pancreaticcarcinoma using multidetector CT: Initial results

Klauß¹,

Schöbinger²,

Wolf³

et al. 2009

WJG

Self Cite

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“…A SSM is widely used for organ segmentation and its potential performance for liver segmentation has been shown [3] [4]. However, previous methods using SSM [3] [4] had the following problems: (1)There is essential limitation on reconstruction accuracy especially for diseased livers involving large deformations and lesions.…”

Section: Introductionmentioning

confidence: 99%

“…However, previous methods using SSM [3] [4] had the following problems: (1)There is essential limitation on reconstruction accuracy especially for diseased livers involving large deformations and lesions. (2) Good initialization is required to obtain proper convergence.…”

Section: Introductionmentioning

confidence: 99%

“…While previous work tried to solve the inconsistency problem [6], they did not apply the method to the liver, which has highly complex shape and large inter-patient variation. Another approach to address the first problem is to perform SSM fitting followed by shape constrained deformable model fitting [4]. However, shape constraints inherent in the liver are not embedded in the deformable model, and robustness against large deformation and lesions has not been verified.…”

Section: Introductionmentioning

confidence: 99%

“…Further, the second problem has not been addressed in the previous studies. Heimann et al reported that not a few cases failed to converge due to the initialization problem [4].…”

Section: Introductionmentioning

confidence: 99%

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Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model

Okada¹,

Shimada²,

Sato³

et al. 2007

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

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Abstract. An atlas-based automated liver segmentation method from 3D CT images is described. The method utilizes two types of atlases, that is, the probabilistic atlas (PA) and statistical shape model (SSM). Voxel-based segmentation with PA is firstly performed to obtain a liver region, and then the obtained region is used as the initial region for subsequent SSM fitting to 3D CT images. To improve reconstruction accuracy especially for largely deformed livers, we utilize a multi-level SSM (ML-SSM). In ML-SSM, the whole shape is divided into patches, and principal component analysis is applied to each patches. To avoid the inconsistency among patches, we introduce a new constraint called the adhesiveness constraint for overlap regions among patches. In experiments, we demonstrate that segmentation accuracy improved by using the initial region obtained with PA and the introduced constraint for ML-SSM.

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Variant alleles of the Wnt antagonist FRZB are determinants of hip shape and modify the relationship between hip shape and osteoarthritis

Baker-LePain

Lynch

Parimi

et al. 2012

Arthritis & Rheumatism

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Objectives (1) To test whether single nucleotide polymorphisms (SNPs) of the FRZB gene are associated with hip shape. (2) To determine whether FRZB variant alleles affect the relationship between hip shape and radiographic hip osteoarthritis (RHOA). Methods A nested case-control study of Caucasian women aged ≥ 65 years in the Study of Osteoporotic Fractures (SOF) was performed. Cases (n = 451) demonstrated incident RHOA during follow-up (mean 8.0 ± 0.4 years). Controls (n = 601) had no RHOA at baseline or follow-up. Statistical shape modeling (SSM) of digitized hip radiographs was used to assess proximal femur shape, and center-edge angle and acetabular depth were used to assess acetabular shape. The association of the rs288326 and rs7775 FRZB variant alleles with hip shape was analyzed using linear regression. The effect of these alleles on the relationship between hip shape and RHOA was analyzed using logistic regression with and without interaction terms. Results The rs288326 and rs7775 alleles were associated with shape of the proximal femur (SSM Mode 2). There was a significant interaction between the rs288326 SNP and proximal femur shape (Mode 2) in predicting RHOA (p for interaction = 0.022). Among subjects with the rs288326 variant allele, there were increasing odds of RHOA with increasing quartiles of proximal femur shape Mode 2 (OR for 4th quartile of Mode 2 = 2.5, 95% confidence interval 1.2–5.3; p for linear trend = 0.02). Conclusions The rs288326 and rs7775 FRZB SNPs are associated with the shape of the proximal femur. The presence of the rs288326 SNP alters the relationship between proximal femur shape and incident RHOA. Together, these findings suggest that FRZB may serve an important role in determining hip shape and may modify the relationship between hip shape and OA.

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Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Cited by 59 publications

References 8 publications

Value of three-dimensional reconstructions in pancreaticcarcinoma using multidetector CT: Initial results

Value of three-dimensional reconstructions in pancreaticcarcinoma using multidetector CT: Initial results

Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model

Variant alleles of the Wnt antagonist FRZB are determinants of hip shape and modify the relationship between hip shape and osteoarthritis

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