Int J Comput Assist Radiol Surg - Automatic left ventricle segmentation in volumetric SPECT data set by variational level set.

Tópicos

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Resumo

TRODUCTION: Left ventricle (LV) quantification in nuclear medicine images is a challenging task for myocardial perfusion scintigraphy. A hybrid method for left ventricle myocardial border extraction in SPECT datasets was developed and tested to automate LV ventriculography.METHODS: Automatic segmentation of the LV in volumetric SPECT data was implemented using a variational level set algorithm. The method consists of two steps: (1) initialization and (2) segmentation. Initially, we estimate the initial closed curves in SPECT images using adaptive thresholding and morphological operations. Next, we employ the initial closed curves to estimate the final contour by variational level set. The performance of the proposed approach was evaluated by comparing manually obtained boundaries with automated segmentation contours in 10 SPECT data sets obtained from adult patients. Segmented images by proposed methods were visually compared with manually outlined contours and the performance was evaluated using ROC analysis.RESULTS: The proposed method and a traditional level set method were compared by computing the sensitivity and specificity of ventricular outlines as well as ROC analysis. The results show that the proposed method can effectively segment LV regions with a sensitivity and specificity of 88.9 and 96.8%, respectively. Experimental results demonstrate the effectiveness and reasonable robustness of the automatic method.CONCLUSION: A new variational level set technique was able to automatically trace the LV contour in cardiac SPECT data sets, based on the characteristics of the overall region of LV images. Smooth and accurate LV contours were extracted using this new method, reducing the influence of nearby interfering structures including a hypertrophied right ventricle, hepatic or intestinal activity, and pulmonary or intramammary activity.

Resumo Limpo

troduct left ventricl lv quantif nuclear medicin imag challeng task myocardi perfus scintigraphi hybrid method left ventricl myocardi border extract spect dataset develop test autom lv ventriculographymethod automat segment lv volumetr spect data implement use variat level set algorithm method consist two step initi segment initi estim initi close curv spect imag use adapt threshold morpholog oper next employ initi close curv estim final contour variat level set perform propos approach evalu compar manual obtain boundari autom segment contour spect data set obtain adult patient segment imag propos method visual compar manual outlin contour perform evalu use roc analysisresult propos method tradit level set method compar comput sensit specif ventricular outlin well roc analysi result show propos method can effect segment lv region sensit specif respect experiment result demonstr effect reason robust automat methodconclus new variat level set techniqu abl automat trace lv contour cardiac spect data set base characterist overal region lv imag smooth accur lv contour extract use new method reduc influenc nearbi interf structur includ hypertrophi right ventricl hepat intestin activ pulmonari intramammari activ

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