Automated Fuzzy-Connectedness-Based Segmentation in Extraction of Multiple Sclerosis Lesions

Kawa, Jacek; Piętka, Ewa

doi:10.1007/978-3-540-68168-7_15

Cited by 10 publications

(8 citation statements)

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“…The estimation of parameters for the fuzzy‐connectedness‐based segmentation (Kawa & Pietka, 2008) of an MS lesion is based on the preliminary ‘fast’ (Kawa & Pietka, 2007) clustering‐based segmentation.…”

Section: Problem‐dependent Proceduresmentioning

confidence: 99%

“… An automated selection of seed points within demyelinated lesions and surrounding white/grey matter in the MR FLAIR volume . The adapted relative fuzzy connectedness approach needs at least two points to be marked for each region (Kawa & Pietka, 2008). First, the mask obtained during the preliminary segmentation (Kawa & Pietka, 2007) is used to determine the region to be analysed.…”

Section: Problem‐dependent Proceduresmentioning

confidence: 99%

“…The MS CAD (Pietka et al , 2005b; Kawa et al , 2006; Kawa, 2007; Kawa & Pietka, 2007, 2008) provides a tool for the detection and measurement of MS demyelination lesions (plaques) in an MR FLAIR brain study. Several processing paths are available within the problem‐dependent module, with various time requirements and different segmentation accuracies.…”

Section: Cad Design and Evaluationmentioning

confidence: 99%

“…The analysis (Figure 5) may be performed in one (nodes A–F) or two (A–K) phases. Initially, a ‘fast’ segmentation (Kawa & Pietka, 2007) is performed, and – at the second phase – additional ‘fine’ plaque extraction may be applied (Kawa & Pietka, 2008) (using the results of the ‘fast’ segmentation step).…”

Section: Cad Design and Evaluationmentioning

confidence: 99%

“…Although the main goal of the ‘fast’ method is to generate the lesion (demyelination plaques) mask, the white and grey matter mask as well as the CSF mask are also generated. The masks can be used to estimate the object and background parameters and choose seed points for the fuzzy‐connectedness‐based segmentation (Kawa & Pietka, 2008), implemented to increase robustness in the presence of local inhomogeneities.…”

Section: Cad Design and Evaluationmentioning

confidence: 99%

See 4 more Smart Citations

Open architecture computer‐aided diagnosis system

Piętka¹,

Kawa²,

Badura³

et al. 2010

Expert Systems

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In this study an approach to open architecture computer-aided diagnosis (CAD) is presented. The traditional goal of a CAD system, to assist the physicians in performing the diagnosis and treatment, has been extended. The platform also supports the system designer in developing a new CAD workflow by implementing general-purpose modules as well as problem-dependent procedures. A new CAD may require new procedures to be added, yet some of the already implemented functions can be employed. The CAD environment is subjected to the developmental process of three systems: the multiple sclerosis CAD, the lung nodule CAD and the pneumothorax CAD. Modules and procedures are briefly described and the CAD systems are evaluated. Results obtained during the CAD evaluation show prospective flexibility of the infrastructure. The trade-offs, well known to CAD designers, can easily be handled by the operators in a user-friendly manner by choosing various workflow paths.

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Section: Problem‐dependent Proceduresmentioning

confidence: 99%