Segmentation of liver computed tomography images using dictionary-based snakes

被引：0

作者：

Shanila, N. ^{[1
]}

Kumar, R. S. Vinod ^{[1
]}

Ravi, R. Ramya ^{[1
]}

机构：

[1] Noorul Islam Ctr Higher Educ, Dept Elect & Commun Engn, Kanyakumari, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2022年 / 39卷 / 03期

关键词：

image processing; liver segmentation; computed tomography; pre-processing; active contour; snakes; dictionary snakes; segmentation; AUTOMATIC LIVER; ACTIVE CONTOURS; 3D SEGMENTATION; GRAPH CUT; CT; DIAGNOSIS; MODEL;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In medical research, segmentation can be used in separating different tissues from each other, through extracting and classifying the features. Segmentation of liver from computed tomography (CT) and magnetic resonance imaging (MRI) is a challenging task. Many image segmentation methods have been used in medical applications. In addition to the briefing of the need, concept and advantages of a few liver segmentation methods, this paper introduces a novel approach for the segmentation of liver computed tomography images using dictionary snakes. The performance of the proposed method is quite satisfactory.

引用

页码：283 / 296

页数：14

共 42 条

[1]

[Anonymous], 2015, J. Comput. Commun, DOI [DOI 10.4236/JCC.2015.311023, 10.4236/jcc.2015.311023]

[2] Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods [J].

Beichel, Reinhard ;

Bornik, Alexander ;

Bauer, Christian ;

Sorantin, Erich .

MEDICAL PHYSICS, 2012, 39 (03) :1361-1373

[3] Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations [J].

Ben-Cohen, Avi ;

Klang, Eyal ;

Diamant, Idit ;

Rozendorn, Noa ;

Amitai, Michal Marianne ;

Greenspan, Hayit .

JOURNAL OF MEDICAL IMAGING, 2015, 2 (03)

[4] 3D segmentation of liver and its lesions using optimized geometric contours [J].

Biswas, Ankur ;

Bhattacharya, P. ;

Maity, S. P. .

INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018), 2018, 133 :240-247

[5] Fast approximate energy minimization via graph cuts [J].

Boykov, Y ;

Veksler, O ;

Zabih, R .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (11) :1222-1239

[6] A GEOMETRIC MODEL FOR ACTIVE CONTOURS IN IMAGE-PROCESSING [J].

CASELLES, V ;

CATTE, F ;

COLL, T ;

DIBOS, F .

NUMERISCHE MATHEMATIK, 1993, 66 (01) :1-31

[7] Active contours without edges [J].

Chan, TF ;

Vese, LA .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) :266-277

[8] Liver Segmentation on CT and MR Using Laplacian Mesh Optimization [J].

Chartrand, Gabriel ;

Cresson, Thierry ;

Chav, Ramnada ;

Gotra, Akshat ;

Tang, An ;

De Guise, Jacques A. .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (09) :2110-2121

[9] An Improved Level Set for Liver Segmentation and Perfusion Analysis in MRIs [J].

Chen, Gang ;

Gu, Lixu ;

Qian, Lijun ;

Xu, Jianrong .

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2009, 13 (01) :94-103

[10] Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models [J].

Chen, Xinjian ;

Udupa, Jayaram K. ;

Bagci, Ulas ;

Ying Zhuge ;

Yao, Jianhua .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (04) :2035-2046

← 1 2 3 4 5 →