Quantitative assessment of ulcers volume using 3D surface imaging

Hani, Ahmad Fadzil Mohamad; Eltegani, Nejood M.; Hussein, Suraiya H.; Jamil, Adawiyah; Gill, Priya

doi:10.1109/isiea.2009.5356484

Search citation statements

Order By: Relevance

Paper Sections

Select...

The Use Of Convex Hull Algorithm In Image Diagnostic1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2013

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is applied also in segmentation of normal anatomical structures, such as the liver [4], left ventricular myocardium [5], optic nerve [6], and papillary muscle [7]. It allows for detection of pathological changes in the lungs [8], in the eye [9], or on the skin surface [10].…”

Section: The Use Of Convex Hull Algorithm In Image Diagnosticmentioning

confidence: 99%

Application of Convex Hull Algorithm for Defect Detection in Selected Biological Materials

Petryniak

2013

SSP

View full text Add to dashboard Cite

Conventional convex hull algorithm determines the smallest convex polygon that contains the analyzed shape. The article presents a modification of this algorithm, which allows us to select the concavity to detect. In contrast to the typical convex hull algorithm, the data are analyzed in portions. This paper proposes the use of this modified algorithm for the defects detection on medical images. Two types of images were used: micro-computer tomography images of dental root canals filled with sealer and magnetic resonance images of a patient hand with rheumatoid arthritis. Those images contained some defects that needed to be measured. Prepared algorithm greatly facilitated this process by supporting the user in the segmentation process. The achieved results were positively evaluated by experts - doctors: rheumatologists and endodontists.

show abstract

Section: The Use Of Convex Hull Algorithm In Image Diagnosticmentioning

confidence: 99%

Application of Convex Hull Algorithm for Defect Detection in Selected Biological Materials

Petryniak

2013

SSP

View full text Add to dashboard Cite

show abstract

Quantitative assessment of ulcers volume using 3D surface imaging

Cited by 1 publication

References 6 publications

Application of Convex Hull Algorithm for Defect Detection in Selected Biological Materials

Application of Convex Hull Algorithm for Defect Detection in Selected Biological Materials

Contact Info

Product

Resources

About