دورية أكاديمية
أعرض في EDS

Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.

التفاصيل البيبلوغرافية
العنوان: Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
المؤلفون: Cherry KM; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Peplinski B; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Kim L; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Wang S; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Lu L; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Zhang W; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Liu J; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Wei Z; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States., Summers RM; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States. Electronic address: rms@nih.gov.
المصدر: Medical image analysis [Med Image Anal] 2015 Jan; Vol. 19 (1), pp. 164-75. Date of Electronic Publication: 2014 Oct 13.
نوع المنشور: Journal Article; Research Support, N.I.H., Intramural
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
أسماء مطبوعة: Publication: Amsterdam : Elsevier
Original Publication: London : Oxford University Press, [1996-
مواضيع طبية MeSH: Anatomic Landmarks/*diagnostic imaging , Angiography/*methods , Colon/*blood supply , Colon/*diagnostic imaging , Colonography, Computed Tomographic/*methods , Pattern Recognition, Automated/*methods, Algorithms ; Artificial Intelligence ; Computer Simulation ; Data Interpretation, Statistical ; Humans ; Image Enhancement/methods ; Imaging, Three-Dimensional/methods ; Models, Statistical ; Monte Carlo Method ; Radiographic Image Interpretation, Computer-Assisted/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Subtraction Technique
مستخلص: Given the potential importance of marginal artery localization in automated registration in computed tomography colonography (CTC), we have devised a semi-automated method of marginal vessel detection employing sequential Monte Carlo tracking (also known as particle filtering tracking) by multiple cue fusion based on intensity, vesselness, organ detection, and minimum spanning tree information for poorly enhanced vessel segments. We then employed a random forest algorithm for intelligent cue fusion and decision making which achieved high sensitivity and robustness. After applying a vessel pruning procedure to the tracking results, we achieved statistically significantly improved precision compared to a baseline Hessian detection method (2.7% versus 75.2%, p<0.001). This method also showed statistically significantly improved recall rate compared to a 2-cue baseline method using fewer vessel cues (30.7% versus 67.7%, p<0.001). These results demonstrate that marginal artery localization on CTC is feasible by combining a discriminative classifier (i.e., random forest) with a sequential Monte Carlo tracking mechanism. In so doing, we present the effective application of an anatomical probability map to vessel pruning as well as a supplementary spatial coordinate system for colonic segmentation and registration when this task has been confounded by colon lumen collapse.
(Published by Elsevier B.V.)
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معلومات مُعتمدة: Z01 CL040003-05 United States Intramural NIH HHS; Z01 CL040004-05 United States Intramural NIH HHS
فهرسة مساهمة: Keywords: CT angiography; Marginal artery; Multiple cue fusion; Random forest; Sequential Monte Carlo tracking
تواريخ الأحداث: Date Created: 20141203 Date Completed: 20150824 Latest Revision: 20191008
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC4314370
DOI: 10.1016/j.media.2014.09.006
PMID: 25461335
قاعدة البيانات: MEDLINE
الوصف
تدمد:1361-8423
DOI:10.1016/j.media.2014.09.006