Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries

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Toma M.; LU Y.; ZHOU H.; Garcia J. D.

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Journal Paper

Paper Information

Journal: JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING Year:2021 | Volume:11 | Issue:1 Page(s): 115-122

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Title

Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries

Author(s)

Toma M. | LU Y. | ZHOU H. | Garcia J. D. | Issue Writer Certificate

Keywords

Image Processing

Computer-Assisted

Errors

Uncertainty

Thresholding

Patient-Specific Modeling

Abstract

is not possible. To use these simulations in medical science, they need to be able to predict the behavior of actual processes with actual patient-specific geometries. Many uncertainties enter in the process of developing these simulations, starting with creating the geometry. The actual patient-specific geometry is often complex and hard to process. Usually, simplifications to the geometry are introduced in exchange for faster results. However, when simplified, these simulations can no longer be considered patient-specific as they do not represent the actual patient they come from. The ultimate goal is to keep the geometries truly patient-specific without any simplification. However, even without simplifications, the patient-specific geometries are based on medical imaging modalities and consequent use of numerical algorithms to create and process the 3D surface. Multiple users are asked to process medical images of a complex geometry. Their resulting geometries are used to assess how the user’ s choices determine the resulting dimensions of the 3D model. It is shown that the resulting geometry heavily depends on user’ s choices.

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APA: Copy

Toma, M., LU, Y., ZHOU, H., & Garcia, J. D.. (2021). Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, 11(1), 115-122. SID. https://sid.ir/paper/698101/en

Vancouver: Copy

Toma M., LU Y., ZHOU H., Garcia J. D.. Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING[Internet]. 2021;11(1):115-122. Available from: https://sid.ir/paper/698101/en

IEEE: Copy

M. Toma, Y. LU, H. ZHOU, and J. D. Garcia, “Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries,” JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, vol. 11, no. 1, pp. 115–122, 2021, [Online]. Available: https://sid.ir/paper/698101/en

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