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1.
J Cardiovasc Surg (Torino) ; 55(3): 339-45, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24755702

ABSTRACT

The prevalence of PAD is expected to increase as the population ages and the treatment for chronic disease becomes more sophisticated. The safety, efficacy, and lower cost of endovascular treatment for peripheral vascular disease of the lower extremities when compared with surgical revascularization are well known. Despite the clinical improvements and advances in endovascular techniques over the past decade, in-stent restenosis of peripheral arteries remains a challenge for the endovascular specialist. The use of excimer laser atherectomy has been shown to be safe and effective for the revascularization of complex, critical de novo peripheral lesions and offers promise in the treatment and prevention of in-stent restenosis.


Subject(s)
Angioplasty, Balloon, Laser-Assisted/instrumentation , Angioplasty, Balloon/instrumentation , Atherectomy/instrumentation , Drug-Eluting Stents , Lasers, Excimer/therapeutic use , Peripheral Arterial Disease/therapy , Angioplasty, Balloon/adverse effects , Angioplasty, Balloon, Laser-Assisted/adverse effects , Animals , Atherectomy/adverse effects , Constriction, Pathologic , Humans , Peripheral Arterial Disease/diagnosis , Recurrence , Retreatment , Treatment Outcome
2.
Comput Med Imaging Graph ; 37(7-8): 568-80, 2013.
Article in English | MEDLINE | ID: mdl-23820390

ABSTRACT

In neuroimage analysis, the automatic identification of symmetry plane has various applications. Despite the considerable amount of research, this remains an open problem. Most of the existing work based on image intensity is either sensitive to strong noise or not applicable to different imaging modalities. This paper presents a novel approach for identifying symmetry plane in three-dimensional brain magnetic resonance (MR) images based on the concepts of fractal dimension and lacunarity analysis which characterizes the complexity and homogeneity of an object. Experimental results, evaluation, and comparison with two other state-of-the-art techniques show the accuracy and the robustness of our method.


Subject(s)
Artificial Intelligence , Brain/anatomy & histology , Fractals , Image Interpretation, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Pattern Recognition, Automated/methods , Algorithms , Humans , Image Enhancement/methods , Reproducibility of Results , Sensitivity and Specificity
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