Level set regularizers for shape recovery in medical images

被引：5

作者：

Suri, JS ^{[1
]}

Liu, KC ^{[1
]}

机构：

[1] Marconi Med Syst Inc, MR Clin Res Div, Cleveland, OH USA

来源：

FOURTEENTH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2001年

关键词：

partial differential equations; level sets; deformable models; medical imaging; filtering; low level vision; regularization; segmentation; motion estimation; topology; shapes;

D O I：

10.1109/CBMS.2001.941747

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to recent growth of level sets and PDE based approaches, the importance of design of regularizers have risen steadily. This paper presents the classification tree for regularizers and the design of regularization forces for robust segmentation of static and motion imagery.

引用

页码：369 / 374

页数：6

共 10 条

[1] Baillard C, 2000, INT C PATT RECOG, P991, DOI 10.1109/ICPR.2000.905632
[2] BAILLARD C, 2000, 1369 IRISA
[3] Leventon ME, 2000, PROC CVPR IEEE, P316, DOI 10.1109/CVPR.2000.855835
[4] SURI JS, 2001, IN PRESS INT J IEEE
[5] SURI JS, 2001, IN PRESS ADV ALGORIT
[6] SURI JS, 2001, IN PRESS INT J ENG M
[7] SURI JS, 2001, IN PRESS J PATTERN A, V4
[8] SURI JS, 2002, UNPUB INT J
[9] SURI JS, 2001, LNCS, V2013, P331
[10] Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation
Zeng, XL
Staib, LH
Schultz, RT
Duncan, JS
[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (10) : 927 - 937

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