scholarly journals Liver Segmentation and Volume Estimation from Preoperative CT Images in Hepatic Surgical Planning: Application of a Semiautomatic Method Based on 3D Level Sets

10.5772/16147 ◽  
2011 ◽  
Author(s):  
Laura Fernandez-de-Manuel ◽  
Maria J. ◽  
Daniel Jimenez-Carretero ◽  
Javier Pascau ◽  
Jose L. ◽  
...  
Keyword(s):  
Level Sets ◽  
Surgical Planning ◽  
Ct Images ◽  
Volume Estimation ◽  
Liver Segmentation ◽  
Preoperative Ct

Three-dimensional liver model based on preoperative CT images as a tool to assist in surgical planning for hepatoblastoma in a child

2015 ◽  
Vol 31 (6) ◽  
pp. 593-596 ◽  
Author(s):  
Ryota Souzaki ◽  
Yoshiaki Kinoshita ◽  
Satoshi Ieiri ◽  
Makoto Hayashida ◽  
Yuhki Koga ◽  
...  
Keyword(s):  
Surgical Planning ◽  
Three Dimensional ◽  
Ct Images ◽  
Model Based ◽  
Liver Model ◽  
Preoperative Ct

3D liver segmentation in preoperative CT images using a levelsets active surface method

2009 ◽  
Author(s):  
L. Fernandez-de-Manuel ◽  
J.L. Rubio ◽  
M.J. Ledesma-Carbayo ◽  
J. Pascau ◽  
J.M. Tellado ◽  
...  
Keyword(s):  
Active Surface ◽  
Ct Images ◽  
Liver Segmentation ◽  
Surface Method ◽  
Preoperative Ct

Liver segmentation by intensity analysis and anatomical information in multi-slice CT images

2009 ◽  
Vol 4 (3) ◽  
pp. 287-297 ◽  
Author(s):  
Amir H. Foruzan ◽  
Reza Aghaeizadeh Zoroofi ◽  
Masatoshi Hori ◽  
Yoshinobu Sato
Keyword(s):  
Ct Images ◽  
Intensity Analysis ◽  
Liver Segmentation ◽  
Anatomical Information

A rare case of a systemic-to-pulmonary veno-venous connection: a pause during development of pulmonary and systemic venous separation

2017 ◽  
Vol 27 (5) ◽  
pp. 1011-1013
Author(s):  
Jae Gun Kwak ◽  
Kyung-Hee Kim ◽  
Chang-Ha Lee
Keyword(s):  
Left Atrium ◽  
Pulmonary Vein ◽  
Rare Case ◽  
Ct Images ◽  
Atrial Septum ◽  
Caval Vein ◽  
Superior Caval Vein ◽  
Preoperative Ct ◽  
Diameter Orifice

AbstractA 45-year-old man with dyspnoea and palpitations exhibited a unique systemic-to-pulmonary veno-venous connection on preoperative CT images. A window of 31.5-mm diameter was evident between the superior caval vein and the middle pulmonary vein, which was normally connected to the left atrium via a 30-mm-diameter orifice. The atrial septum was intact.

3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images

2016 ◽  
Vol 61 (4) ◽  
pp. 401-412 ◽  
Author(s):  
Saif Dawood Salman Al-Shaikhli ◽  
Michael Ying Yang ◽  
Bodo Rosenhahn
Keyword(s):  
Cost Function ◽  
Mahalanobis Distance ◽  
Texture Features ◽  
Disease Diagnosis ◽  
Ct Images ◽  
Image Features ◽  
Active Shape Model ◽  
Liver Segmentation ◽  
Shape Model ◽  
Active Shape

Abstract Automatic 3D liver segmentation is a fundamental step in the liver disease diagnosis and surgery planning. This paper presents a novel fully automatic algorithm for 3D liver segmentation in clinical 3D computed tomography (CT) images. Based on image features, we propose a new Mahalanobis distance cost function using an active shape model (ASM). We call our method MD-ASM. Unlike the standard active shape model (ST-ASM), the proposed method introduces a new feature-constrained Mahalanobis distance cost function to measure the distance between the generated shape during the iterative step and the mean shape model. The proposed Mahalanobis distance function is learned from a public database of liver segmentation challenge (MICCAI-SLiver07). As a refinement step, we propose the use of a 3D graph-cut segmentation. Foreground and background labels are automatically selected using texture features of the learned Mahalanobis distance. Quantitatively, the proposed method is evaluated using two clinical 3D CT scan databases (MICCAI-SLiver07 and MIDAS). The evaluation of the MICCAI-SLiver07 database is obtained by the challenge organizers using five different metric scores. The experimental results demonstrate the availability of the proposed method by achieving an accurate liver segmentation compared to the state-of-the-art methods.

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