Gradient-based enhancement of tubular structures in medical images

Medical Image Analysis - Tập 26 - Trang 19-29 - 2015
Rodrigo Moreno1,2,3, Örjan Smedby1,2,3
1School of Technology and Health, KTH Royal Institute of Technology, Sweden
2Center for Medical Image Science and Visualization (CMIV), Linköping University, Sweden
3Department of Radiology and Department of Medical and Health Sciences (IMH), Linköping University, Sweden

Tài liệu tham khảo

Agam, 2005, Vessel tree reconstruction in thoracic CT scans with application to nodule detection, IEEE Trans. Med. Imag., 24, 486, 10.1109/TMI.2005.844167 Agam, 2005, Probabilistic modeling based vessel enhancement in thoracic CT scans, vol. 2, 649 Ambuluri, 2013, New radix-2 and radix-22 constant geometry fast Fourier transform algorithms for GPUs, 59 Armande, 1996, A 3D thin nets extraction method for medical imaging, vol. 1, 642 Auvray, 2009, Improved vessel enhancement for fully automatic coronary modeling, 7259, 10.1117/12.810144 Bauer, 2008, A novel approach for detection of tubular objects and its application to medical image analysis, vol. 5096, 163 Benmansour, 2011, Tubular structure segmentation based on minimal path method and anisotropic enhancement, Int. J. Comput. Vis., 92, 192, 10.1007/s11263-010-0331-0 Cañero, 2003, Vesselness enhancement diffusion, Pattern Recognit. Lett., 24, 3141, 10.1016/j.patrec.2003.08.001 Cetin, 2013, Vessel tractography using an intensity based tensor model with branch detection, IEEE Trans. Med. Imag., 32, 348, 10.1109/TMI.2012.2227118 Dong, 1999, Diagnosis of renal vascular disease with MR angiography, Radiographics, 19, 1535, 10.1148/radiographics.19.6.g99no041535 Edvardson, 2003, Compact and efficient 3D shape description through radial function approximation, Comput. Methods Progr. Biomed., 72, 89, 10.1016/S0169-2607(02)00126-8 Förstner, 1986, A feature based correspondence algorithm for image matching, 26, 150 Frangi, 1998, Multiscale vessel enhancement filtering, 130 Friman, 2010, Multiple hypothesis template tracking of small 3D vessel structures, Med. Image Anal., 14, 160, 10.1016/j.media.2009.12.003 Goldenberg, 2012, Computer-aided simple triage (CAST) for coronary CT angiography (CCTA), Int. J. Comput. Assist. Radiol. Surg., 7, 819, 10.1007/s11548-012-0684-7 Hannink, 2014, Vesselness via multiple scale orientation scores, CoRR, abs/1402.4963 Hernández Hoyos, 2006, Vascular centerline extraction in 3D MR angiograms for phase contrast MRI blood flow measurement, Int. J. Comput. Assist. Radiol. Surg., 1, 51, 10.1007/s11548-006-0005-0 Hogg, 2006, Diagnosis of pulmonary embolism with ct pulmonary angiography: a systematic review, Emerg. Med. J., 23, 172, 10.1136/emj.2005.029397 Horn, 1984, Extended Gaussian images, Proc. IEEE, 72, 1671, 10.1109/PROC.1984.13073 Khalid, 2014, An optimal-dimensionality sampling scheme on the sphere with fast spherical harmonic transforms, IEEE Trans. Signal Process., 62, 4597, 10.1109/TSP.2014.2337278 Kirbas, 2004, A review of vessel extraction techniques and algorithms, ACM Comput. Surv., 36, 81, 10.1145/1031120.1031121 Kirişli, 2013, Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography, Med. Image Anal., 17, 859, 10.1016/j.media.2013.05.007 Krissian, 2002, Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram, IEEE Trans. Med. Imag., 21, 1440, 10.1109/TMI.2002.806403 Law, 2009, Efficient implementation for spherical flux computation and its application to vascular segmentation, IEEE Trans. Image Process., 18, 596, 10.1109/TIP.2008.2010073 Law, 2008, Three dimensional curvilinear structure detection using optimally oriented flux, 368 Law, 2012, Dilated divergence based scale-space representation for curve analysis, 557 Law, 2013, Intervertebral disc segmentation in MR images using anisotropic oriented flux, Med. Image Anal., 17, 43, 10.1016/j.media.2012.06.006 Lesage, 2009, A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes, Med. Image Anal., 13, 819, 10.1016/j.media.2009.07.011 Li, 2003, Selective enhancement filters for nodules, vessels, and airway walls in 2- and 3-dimensional CT scans, Med. Phys., 30, 2040, 10.1118/1.1581411 Lugauer, 2014, Precise lumen segmentation in coronary computed tomography angiography, 137 Manniesing, 2006, Vessel enhancing diffusion: a scale space representation of vessel structures, Med. Image Anal., 10, 815, 10.1016/j.media.2006.06.003 Marwan, 2014, Multicenter evaluation of coronary dual-source CT angiography in patients with intermediate risk of coronary artery stenoses (MEDIC): study design and rationale, J. Cardiovasc. Comput. Tomogr., 8, 183, 10.1016/j.jcct.2014.04.006 Moreno, 2012, Estimation of trabecular thickness in gray-scale images through granulometric analysis, 8314, 831451, 10.1117/12.906734 Moreno, 2012, Generalizing the mean intercept length tensor for gray-level images, Med. Phys., 39, 4599, 10.1118/1.4730502 Moreno, 2009, A new methodology for evaluation of edge detectors, 2157 Mos, 2009, Safety of ruling out acute pulmonary embolism by normal computed tomography pulmonary angiography in patients with an indication for computed tomography: systematic review and meta-analysis, J. Thromb. Haemost., 7, 1491, 10.1111/j.1538-7836.2009.03518.x Nemitz, 2007, Anisotropic curvature motion for structure enhancing smoothing of 3D MR angiography data, J. Math. Imaging Vis., 27, 217, 10.1007/s10851-006-0645-2 Özarslan, 2003, Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging, Magn. Res. Med., 50, 955, 10.1002/mrm.10596 Parker, 1998, Contrast-enhanced magnetic resonance angiography of cerebral arteries. a review, Invest. Radiol., 33, 560, 10.1097/00004424-199809000-00012 Prince, 1999 Prinet, 1996, Thin network extraction in 3D images: application to medical angiograms, vol. 3, 386 Qian, 2009, A non-parametric vessel detection method for complex vascular structures, Med. Image Anal., 13, 49, 10.1016/j.media.2008.05.005 Rivest-Hénault, 2013, 3-D curvilinear structure detection filter via structure-ball analysis, IEEE Trans. Image Process., 22, 2849, 10.1109/TIP.2013.2240005 Rudyanto, 2014, Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study, Med. Image Anal., 18, 1217, 10.1016/j.media.2014.07.003 Sato, 1998, Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images, Med. Image Anal., 2, 143, 10.1016/S1361-8415(98)80009-1 Schaap, 2009, Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms, Med. Image Anal., 13, 701, 10.1016/j.media.2009.06.003 Szydlarski, 2014, Parallel spherical harmonic transforms on heterogeneous architectures (graphics processing units/multi-core CPUs), Concurr. Comput: Pract. Exp., 26, 683, 10.1002/cpe.3038 Vasilevskiy, 2002, Flux maximizing geometric flows, IEEE Trans. Pattern Anal. Mach. Intell., 24, 1565, 10.1109/TPAMI.2002.1114849 Weustink, 2011, The role of multi-slice computed tomography in stable angina management: a current perspective, Neth. Heart J., 19, 336, 10.1007/s12471-011-0096-2 Wiemker, 2013, A radial structure tensor and its use for shape-encoding medical visualization of tubular and nodular structures, IEEE Trans.Vis. Comput. Graph., 19, 353, 10.1109/TVCG.2012.136 Wörz, 2007, Segmentation and quantification of human vessels using a 3-D cylindrical intensity model, IEEE Trans. Image. Proc., 16, 1994, 10.1109/TIP.2007.901204 Xiao, 2011, A strain energy filter for 3D vessel enhancement with application to pulmonary CT images, Med. Image Anal., 15, 112, 10.1016/j.media.2010.08.003 Xiao, 2013, Multiscale bi-Gaussian filter for adjacent curvilinear structures detection with application to vasculature images, IEEE Trans. Image Proc., 22, 174, 10.1109/TIP.2012.2216277 Xu, 1998, Snakes, shapes, and gradient vector flow, IEEE Trans. Image Process., 7, 359, 10.1109/83.661186 Yang, 2012, Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography, Int. J. Cardiovasc. Imaging, 28, 921, 10.1007/s10554-011-9894-2 Yang, 2014, Improved Hessian multiscale enhancement filter, J. Biomed. Mater Eng., 24, 3267 Zheng, 2011, Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes, 7962 Zheng, 2012, Model-driven centerline extraction for severely occluded major coronary arteries, 10