Virtual volume resection using multi-resolution triangular representation of B-spline surfaces

Ruskó, László; MáTéKa, Ilona; Kriston, András

doi:10.1016/j.cmpb.2013.04.017

Cited by 14 publications

(19 citation statements)

References 16 publications

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“…Liver segmentation is the first step to calculate objective measurements and liver/lesion ratios for decisions regarding treatment and planning for the patient. The segmentation of internal organs is also essential for image-guided surgery and virtual reality scenarios for medical training [2,3,4,5,6]. In addition, the liver segmentation can help in hepatic steatosis quantification because the results of this segmentation can be correlated to measure fat fractions [7].…”

Section: Introductionmentioning

confidence: 99%

Liver segmentation in MRI: A fully automatic method based on stochastic partitions

López-Mir

Naranjo

Angulo

et al. 2014

Computer Methods and Programs in Biomedicine

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There are few fully automated methods for liver segmentation in magnetic resonance images (MRI) despite the benefits of this type of acquisition in comparison to other radiology techniques such as computed tomography (CT). Motivated by medical requirements, liver segmentation in MRI has been carried out. For this purpose, we present a new method for liver segmentation based on the watershed transform and stochastic partitions. The classical watershed over-segmentation is reduced using a marker-controlled algorithm. To improve accuracy of selected contours, the gradient of the original image is successfully enhanced by applying a new variant of stochastic watershed. Moreover, a final classifier is performed in order to obtain the final liver mask. Optimal parameters of the method are tuned using a training dataset and then they are applied to the rest of studies (17 datasets). The obtained results (a Jaccard coefficient of .91 ± .02) in comparison to other methods demonstrate that the new variant of stochastic watershed is a robust tool for automatic segmentation of the liver in MRI.

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Section: Introductionmentioning

confidence: 99%

Liver segmentation in MRI: A fully automatic method based on stochastic partitions

López-Mir

Naranjo

Angulo

et al. 2014

Computer Methods and Programs in Biomedicine

View full text Add to dashboard Cite

show abstract

“…This section presented an efficient and easy-to use technique that allows the physician to partition a segmented organ into its segments or lobes. The related results were published in a journal paper [4]. The author proposed a new technique for partitioning 3D binary objects using smooth surfaces.…”

Section: Discussionmentioning

confidence: 99%

“…The author proposed a novel technique to solve this problem. The related results were published in a journal paper [4].…”

Section: Virtual Volume Resectionmentioning

confidence: 99%

“…There is a need for interactive tools which allow efficient separation of the anatomical liver segments. The author proposed a solution for this problem, which was published in a journal paper [4].…”

Section: Virtual Volume Resectionmentioning

confidence: 99%

“…In this chapter the author presents a novel technique for interactive partitioning of 3D binary objects using smooth surfaces. The related results of the author were published in a journal paper [4].…”

Section: Virtual Volume Resectionmentioning

confidence: 99%

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