On reconstructing of 2D reformat images in medical diagnostics

Mockus, Laimonas; Meilūnas, Mečislavas; Paulinas, Mantas; Ušinskas, Andrius

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/142230

On reconstructing of 2D reformat images in medical diagnostics

Details

Publication Type (CRIS)

Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)

Publication Type (eLABa)

Kitos konferencijos pranešimo tezės / Other conference presentation abstracts (T3)

Author(s)

Author	Affiliation
Mockus, Laimonas	Elektroninių sistemų katedra / Department of Electronic Systems (0549)
Meilūnas, Mečislavas	Matematinio modeliavimo katedra / Department of Mathematical Modelling (1023)
Paulinas, Mantas	Elektroninių sistemų katedra / Department of Electronic Systems (0549)
Ušinskas, Andrius	Elektroninių sistemų katedra / Department of Electronic Systems (0549)

Title

On reconstructing of 2D reformat images in medical diagnostics

[en]

Laimonas Mockus, Mečislavas Meilūnas, Mantas Paulinas and Andrius Ušinskas

Is part of

11th International Conference Mathematical Modelling and Analysis, May 31 - June 3, 2006 Jūrmala, Latvia: book of abstracts

Published In

Year
2006

Publisher

Jūrmala : LZALUMI

Extent

p. 34

URI

URI
https://hdl.handle.net/20.500.14911/142230

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

A lot of medical diagnostics problems is related tothe reconstruction of 3D images from the cross sections of the regions of interest. Such reconstructions are very desirable e.g. when numerical characteristics of the observed pathology are necessary for surgical treatment. This talk reviews recent 3D preprocessing work of authors in human brain blood vessels structure recognition and localization of aneurysm [1] as well as analysis of the right ventricular of the human heart [2j. Some interpolation [3] methods and its implementation for reconstruction of reformatting images are introduced.