Quantized Segmentation of Fibrotic Tissue of Left Atrial from Delay-Enhancement MRI Images Using Level-Set and Graph-Cut

Author(s):  
Xun Liu ◽  
Yan Shen ◽  
Xu Zhao ◽  
Su Zhang
Circuit World ◽  
2019 ◽  
Vol 46 (1) ◽  
pp. 55-64
Author(s):  
Yong Yin ◽  
Hualiang Luo ◽  
Jiming Sa ◽  
Qi Zhang

Purpose The segmentation of printed circuit board (PCB) images is an important process in PCB inspection. The circuit traces, pads and vias in a PCB are dense and curved, and the PCB image obtained using different cameras or in different conditions may exhibit a large image gradient, which leads to inaccuracy and inefficiency in the PCB image segmentation. This paper aims to propose an improved local binary fitting level set method with prior graph cut, aiming to improve the accuracy and efficiency of the segmentation of PCB images obtained using different cameras or in different environments. Design/methodology/approach First, the paper constructs a 4-connected undirected graph using a given PCB image and classifies it based on the graph cut. Second, an adaptive initialization level set is implemented using the priori information obtained from the graph cut. Finally, the paper constructs a priori energy term using the prior information and introduces it into the energy function of the level set. Findings The approach results in an improved accuracy of segmentation in the context of a large gradient within the image. Experimental results demonstrate that the method can solve the deviation of artificially initialized level set from targets and improve the efficiency and accuracy of segmentation. Research limitations/implications This study only considers level set method as the research object. Iteration of the level set method takes a long time for a given huge PCB picture, which makes it impossible to apply to scenes with high real-time requirements. Practical implications PCB image segmentation is an important process in the PCB inspection. Since template matching and morphology techniques are well-established, image segmentation quality has a significant impact on the accuracy of detection. Originality/value This paper studies the segmentation of PCB images, improves the efficiency and accuracy of segmentation and facilitates the subsequent applications, such as in the nondestructive testing of PCB.


Author(s):  
Chinelo Udemgba ◽  
Emil Missov ◽  
Robert Percy ◽  
Srinivasan Sattiraju

Abstract Background Cardiac foreign bodies (FBs) are rare findings that may present as cardiac masses initially. Here, we present an exceptional and rare case of a hypodermic needle FB that transmigrated to the left atrium and presented as a left atrial mass. Case summary A 28-year-old woman with multiple psychiatric disorders including intentional FB ingestion and self-inflicting injuries presented to the emergency room with abdominal pain, nausea, vomiting, diarrhoea, and chest pain that radiated to the left arm and face for 2 weeks. An echocardiogram was performed revealing a left atrial mass concerning for myxoma. During the surgical removal of the mass, a hypodermic needle was found attached to the roof of the left atrium surrounded by thrombotic and fibrotic tissue, which was confirmed by pathology. Discussion Cardiac FBs are caused generally by penetrating wounds from direct trauma. Fewer cases have been reported regarding cardiac FB caused by ingestion from migration of the object to the heart. Signs and symptoms for cardiac FB may mimic those of cardiac masses. Cardiac FBs often require surgical intervention to avoid complications.


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