Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy
نویسندگان
چکیده
Curvilinear structures are common in medical imaging, which typically require dedicated processing techniques. We present a new structure to process these, that we call the polygonal path image, denoted (see text for symbol). We derive from (see text for symbol) some curvilinear structure enhancement and analysis algorithms. We show that (see text for symbol) has some interesting properties: it generalizes several concepts found in other methods; it makes it possible to control the smoothness and length of the structures under study; and it can be computed efficiently. We estimate quantitatively its performance in the context of interventional cardiology for the detection of guide-wires in Xray images. We show that (see text for symbol) is particularly well suited for this task where it appears to outperform previous state of the art techniques.
منابع مشابه
3D Augmented Fluoroscopy in Interventional Neuroradiology: Precision Assessment and First Evaluation on Clinical Cases
To improve the tool (guide wire and catheter) guidance in interventional radiology, a new approach is to project 3D X-ray Angiography (3DXA) information in real time onto a fluoroscopy image ("3D Augmented Fluoroscopy" 3D AF). Recovering the acquisition geometry is a crucial step for such augmented reality application. As 3DXA and fluoroscopy images are acquired on the same vascular C-arm, a ma...
متن کاملEnhancement of Learning Based Image Matting Method with Different Background/Foreground Weights
The problem of accurate foreground estimation in images is called Image Matting. In image matting methods, a map is used as learning data, which is produced by those pixels that are definitely foreground, definitely background ,and unknown. This three-level pixel map is often referred to as a trimap, which is produced manually in alpha matte datasets. The true class of unknown pixels will be es...
متن کاملEvaluation of the Quality Control Program for Diagnostic Radiography and Fluoroscopy Devices in Syria during 2005-2013
Introduction: Extensive use of diagnostic radiology is the largest contributor to total population radiation doses. Thus, appropriate equipment and safe practice are necessary for good-quality images with optimal doses. This study aimed to perform quality control (QC) audit for radiography and fluoroscopy devices owned by private sector in Syria (2005-2013) to verify compliance of performance o...
متن کاملCluster-Based Image Segmentation Using Fuzzy Markov Random Field
Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...
متن کاملFuzzy segmentation of X-ray fluoroscopy images
Segmentation of fluoroscopy images is useful for fluoroscopy-to-CT image registration. However, it is impossible to assign a unique tissue type to each pixel. Rather each pixel corresponds to an entire path of tissue types encountered along a ray from the X-ray source to the detector plate. Furthermore, there is an inherent many-to-one mapping between paths and pixel values. We address these is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
دوره 15 Pt 2 شماره
صفحات -
تاریخ انتشار 2012