Skip to main content

Table 1 Overview of previously published scar detection, quantification and segmentation methods

From: Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

Reference Model n Modality LV/LA Algorithm Evaluation
Kim et al.[9] Canine 26 CMR LV SD Infarct size, ex-vivo
Amado et al.[12] Animal 13 CMR LV SD, FWHM Bland altman, Infarct volume
Kolipaka et al.[10] Human 23 CMR LV SD Percentage scar, Bland-Altman
Positano et al.[14] Human 15 CMR LV Clustering Percentage scar
Yan et al.[13] Human 144 CMR LV SD Percentage scar
Schmidt et al.[11] Human 47 CMR LV SD Infarct size
Hennemuth et al.[15] Human 21 CMR LV EM fitting Percentage scar, Bland-Altman
Oakes et al.[5] Human 81 CMR LA SD Percentage scar
Detsky et al.[16] Human 15 CMR LV Clustering Infarct size
Tao et al.[17] Human 20 CMR LV Otsu thresholding Dice
Knowles et al.[4] Human 7 CMR LA MIP Percentage scar
Lu et al.[18] Human 10 CMR LV Graph-cuts Infarct size and Bland-Altman
  1. Methods were analysed on the type of data they were evaluated with and the structure of interest: left ventricle (LV) or left atrium (LA). The number of datasets (n) is listed. Most methods employed simple standard deviation (SD) thresholding from a base healthy tissue intensity value. Others such as full-width-at-half-maximum (FWHM), maximum intensity projection (MIP) and expectation-maximisation (EM) fitting have also been proposed. The evaluation measures used were compared.