Vessels representation in 2D and 3D angiograms

被引：0

作者：

Prinet, V ^{[1
]}

Monga, O ^{[1
]}

Rocchisani, JM ^{[1
]}

机构：

[1] INRIA, F-78153 Rocquencourt, France

来源：

CAR '97 - COMPUTER ASSISTED RADIOLOGY AND SURGERY | 1997年 / 1134卷

关键词：

D O I：

暂无

中图分类号：

R-058 [];

学科分类号：

摘要：

Thin network extraction from two (2D) and three (3D) dimensional images is of major importance in medical vascular imaging for diagnostic, therapy planning and neurosurgery. In this paper, we develop a framework for automatic vascular network extraction from 2D and 3D images. The approach consists in treating the image as a surface. It is shown that the crest points of this surface correspond to the center-line of the thin network in the image. A compact representation of the detected network will enable further manipulation and processing. Promising results are shown real vascular images.

引用

页码：240 / 245

页数：6

共 50 条

[1] Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluation
Bullitt, E
Liu, A
Aylward, SR
Coffey, C
Stone, J
Mukherji, SK
Muller, KE
Pizer, SM
[J]. ACADEMIC RADIOLOGY, 1999, 6 (09) : 539 - 546
[2] Principal Curves to Extract Vessels in 3D Angiograms
Wong, Wilbur C. K.
Chung, Albert C. S.
[J]. 2008 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, VOLS 1-3, 2008, : 487 - 494
[3] On the multiscale representation of 2D and 3D shapes
Borgefors, G
Ramella, G
di Baja, GS
Svensson, S
[J]. GRAPHICAL MODELS AND IMAGE PROCESSING, 1999, 61 (01): : 44 - 62
[4] 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem
Wu, Sean
Kaneko, Naoki
Mendoza, Steve
Liebeskind, David S.
Scalzo, Fabien
[J]. ADVANCES IN VISUAL COMPUTING, ISVC 2023, PT I, 2023, 14361 : 382 - 393
[5] "Instant 3D" Angiography: Novel Technique for Rapid Conversion of 2D Angiograms into 3D Stereoscopic Videos
Wang, Alick P.
Trivedi, Arunachala
Karir, Aneesh
Walker, Gregory B.
Ragulojan, Malavan
Ben Nakhi, Saleh
Shakil, Husain
Fahed, Robert
Drake, Brian J.
[J]. WORLD NEUROSURGERY, 2023, 179 : 109 - 117
[6] Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms
Madan, Hennadii
Likar, Bostjan
Pernus, Franjo
Spiclin, Ziga
[J]. MEDICAL IMAGING 2015: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2015, 9415
[7] Matching 3D MR angiography data and 2D X-ray angiograms
Feldmar, J
Malandain, G
Ayache, N
FernandezVidal, S
Maurincomme, E
Trousset, Y
[J]. CVRMED-MRCAS'97: FIRST JOINT CONFERENCE - COMPUTER VISION, VIRTUAL REALITY AND ROBOTICS IN MEDICINE AND MEDICAL ROBOTICS AND COMPUTER-ASSISTED SURGERY, 1997, 1205 : 129 - 138
[8] 3D representation and CNC machining of 2D digital images
Sood, Sumit
Duvedi, Ravinder Kumar
Bedi, Sanjeev
Mann, Stephen
[J]. 46TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 46, 2018, 26 : 10 - 20
[9] 2D or 3D?
Mills, R
[J]. COMPUTER-AIDED ENGINEERING, 1996, 15 (08): : 4 - 4
[10] An unsupervised finetuning framework for 2D/3D vascular registration oriented to incomplete 2D blood vessels
Li, Yanggang
Meng, Cai
Guan, Shaoya
Li, Ning
Xu, Yizhou
[J]. ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2022, 18 : 36 - 36

← 1 2 3 4 5 →