Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging
Delayed-enhancement magnetic resonance imaging is an effective technique for imaging left atrial (LA) scars both pre- and post- radio-frequency ablation for the treatment of atrial fibrillation. Existing techniques for LA scar segmentation require expert manual interaction making them tedious and prone to high observer variability. In this paper, we propose a novel automatic segmentation algorithm for segmenting LA scar based on a probabilistic tissue intensity model. This is implemented as a Markov random field-based energy formulation and solved using graph-cuts. It was evaluated against an existing semi-automatic approach and expert manual segmentations using 9 patient data sets. Surface representations were used to compare the methods. The segmented LA scar was expressed as a percentage of the total LA surface. Statistical analysis showed that the novel algorithm was not significantly different to the manual method and that it compared more favorably with this than the semi-automatic approach.
Keywordsdelayed enhancement MRI atrial fibrillation scar segmentation graph-cuts Markov random fields
Unable to display preview. Download preview PDF.
- 1.Peters, D.C., Wylie, J.V., Hauser, T.H., Kissinger, K.V., Botnar, R.M., Essebag, V., Josephson, M.E., Manning, W.J.: Detection of pulmonary vein and left atrial scar after catheter ablation with three-dimensional navigator-gated delayed enhancement MR imaging: initial experience. Radiology 243(3), 690–695 (2007)CrossRefGoogle Scholar
- 2.McGann, C.J., Kholmovski, E.G., Oakes, R.S., Blauer, J.J., Daccarett, M., Segerson, N., Airey, K.J., Akoum, N., Fish, E., Badger, T.J., DiBella, E.V., Parker, D., MacLeod, R.S., Marrouche, N.F.: New magnetic resonance imaging-based method for defining the extent of left atrial wall injury after the ablation of atrial fibrillation. J. Am. Coll. Cardiol. 52(15), 1263–1271 (2008)CrossRefGoogle Scholar
- 3.Knowles, B.R., Caulfield, D., Cooklin, M., Rinaldi, C.A., Gill, J., Bostock, J., Razavi, R., Schaeffter, T., Rhode, K.S.: 3-D visualization of acute RF ablation lesions using MRI for the simultaneous determination of the patterns of necrosis and edema. IEEE Trans. Biomed. Eng. 57(6), 1467–1475 (2010)CrossRefGoogle Scholar
- 5.Oakes, R.S., Badger, T.J., Kholmovski, E.G., Akoum, N., Burgon, N.S., Fish, E.N., Blauer, J.J., Rao, S.N., DiBella, E.V., Segerson, N.M., Daccarett, M., Windfelder, J., McGann, C.J., Parker, D., MacLeod, R.S., Marrouche, N.F.: Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation. Circulation 119(13), 1758–1767 (2009)CrossRefGoogle Scholar
- 7.Peters, J., Ecabert, O., Meyer, C., Schramm, H., Kneser, R., Groth, A., Weese, J.: Automatic whole heart segmentation in static magnetic resonance image volumes. Med. Image Comput. Comput. Assist. Interv. 10(Pt 2), 402–410 (2007)Google Scholar
- 8.Schnabel, J.A., Rueckert, D., Quist, M., Blackall, J.M., Castellano-Smith, A.D., Hartkens, T., Penney, G.P., Hall, W.A., Liu, H., Truwit, C.L., Gerritsen, F.A., Hill, D.L.G., Hawkes, D.J.: A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations. Med. Image Comput. Comput. Assist. Interv. 4, 573–581 (2001)zbMATHGoogle Scholar