An invariant approach for image registration in digital subtraction angiography

Bentoutou, Y.; Taleb, Nasreddine; Mezouar, Miloud Chikr El; Taleb, M.; Jetto, L.

doi:10.1016/s0031-3203(02)00016-x

Cited by 97 publications

(52 citation statements)

References 38 publications

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“…From the geometric point of view, their descriptors are invariant to translation only. Despite of this, the invariants have found successful applications in normalizing blurred images into canonical forms [27] , in template to scene matching of satellite images, in blurred digit and character recognition [28] , and in registration of images obtained by digital subtraction angiography [29] . Flusser et al [30] proposed a grouptheoretic approach to extend the combined invariant into 3D case.…”

Section: Combine Anti-blur With the New Invariantsmentioning

confidence: 99%

Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction

Liu

Xiao

Tang

et al. 2014

Int. J. Autom. Comput.

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This paper puts forward a method for abdomen panorama reconstruction based on a stereo vision system. For the purpose of recovering the abdomen completely and accurately under the condition of actual photographing with illumination variance and blur noise, some innovative combined feature descriptors are presented on the basis of Hu-moment invariants. Furthermore, considering the study on the abdomen surface reconstruction, a circle template which is divided into 6 sectors is designed. It is noted that a descriptor merely using gray intensity is not able to provide sufficient information for feature description. Consequently, the sector entropy which denotes the structure characteristics is drawn into the feature descriptor. By means of the combined effect of the gray intensity and the sector entropy, the similarity measurement is conducted for the final abdomen reconstruction. The experimental results reveal that the proposed method can acquire a high precision of abdomen reconstruction similar to the 3D scanner. This stereo vision system has wide practicability in the field of clothing.

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Section: Combine Anti-blur With the New Invariantsmentioning

confidence: 99%

Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction

Liu

Xiao

Tang

et al. 2014

Int. J. Autom. Comput.

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“…Several approaches have been proposed to obtain sub-pixel accuracy in CP matching, such as analytical matching interpolation methods [22] and image-interpolation methods [23]. Since the image interpolation approach is computationally expensive compared to the analytical match-interpolation method [9], the analytical match-interpolation method is used in this paper.…”

Section: Control Point Matchingmentioning

confidence: 99%

Automated Sar Reference Image Preparation for Navigation

Ren¹,

Chang²,

Jin³

et al. 2011

PIER

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Abstract-The preparation of good navigational synthetic aperture radar (SAR) reference image is critical to the SAR scene matching aided navigation system, especially for complex terrain. However, few papers discuss the problem, and almost none of the methods proposed by them are fully automatic. Based on the practical requirements, a fully automated method of SAR reference image preparation is introduced. Firstly, a number of distinctive control points (CP) in the simulated SAR image is detected based on a method of image segmentation and clustering. Then, the corresponding tie-points in the real SAR image are searched based on local similarity by means of template matching. To improve the accuracy of CP, a method for segmentation threshold calculation, outlier screening and sub-pixel location computation is presented. Finally, the real SAR image is warped to the simulated one, and then projected to the frame of digital elevation model (DEM) by the polynomial mapping function. Experimental results on real data sets demonstrate the accuracy and efficiency of the proposed method.

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“…Prior studies have proposed motion correction methods between fluoroscopic and angiographic images using nonrigid image registration strategies [2][3][4][5]. These methods can markedly reduce motion artifacts caused by movement, including heartbeat for example.…”

Section: Introductionmentioning

confidence: 99%

Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method

Ohnishi

Takano

Kato

et al. 2017

SIViP

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Catheter-based therapy is typically performed under fluoroscopic image observation. However, the vessel structure cannot be visualized on fluoroscopic images. To overcome this limitation, angiographic images are captured with a contrast agent, and digital subtraction angiography (DSA) images are acquired during the intervention. In thoracoabdominal DSA, patients have to hold their breath to match the respiratory phase during DSA acquisition. However, breath holding is difficult for some patients, including the elderly. If the organs move during DSA acquisition, artifacts can occur on DSA images, and the DSA acquisition must be performed again. In the present study, we describe and characterize a new respiratory phase matching method for respiratory-synchronized DSA acquisition under natural respiration. Preoperative angiographic and intra-operative fluoroscopic images were collected under natural respiration during the operation. For each fluoroscopic image, we used a pattern matching to select an angiographic image in the most similar respiratory phase. We then examined whether the method could be applied to both the free breathing DSA and the respiratory-synchronized roadmap. We found that our proposed respiratory phase matching method produced acceptable DSA images without breath holding, and that the processing could be performed in real time. B Takashi Ohnishi

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An invariant approach for image registration in digital subtraction angiography

Cited by 97 publications

References 38 publications

Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction

Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction

Automated Sar Reference Image Preparation for Navigation

Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method

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