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Pregled bibliografske jedinice broj: 810399

Comparison of 3D scanned kidney stone model versus computer-generated models from medical images


Galeta, Tomislav; Pakši, Ivana; Šišić, Davor; Knežević, Matej
Comparison of 3D scanned kidney stone model versus computer-generated models from medical images // Advances in production engineering & management, 12 (2017), 3; 254-264 doi:10.14743/apem2017.3.256 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 810399 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Comparison of 3D scanned kidney stone model versus computer-generated models from medical images

Autori
Galeta, Tomislav ; Pakši, Ivana ; Šišić, Davor ; Knežević, Matej

Izvornik
Advances in production engineering & management (1854-6250) 12 (2017), 3; 254-264

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
medical images ; scanning ; 3D model ; accuracy ; segmentation

Sažetak
With a goal to evaluate accuracy of kidney stone models created from medical images, comparison of computer-generated models against 3D scanned model is performed. Computer-generated models are made using 6 free and one commercial software for medical images obtained by computed tomography (CT) with a slice thickness of 5 mm. Digitized volume of the same kidney stone was obtained after its surgical removal and digitized using a contactless 3D scanner ATOS Compact Scan. Due to the complexity of kidney stone, the scanned reference model is not completely identical to real surgically removed stone from a patient. High maximum deviation are positioned mainly in the areas where the actual kidney stone is not scanned. The average surface deviation is in the range of 0, 24354 mm to 0, 44719 mm. Results reveals that the accuracy of the computer- generated models depends on quality of algorithms for tissue segmentation implemented in a particular software and on the skill of user. All software enabled us to create a 3D model of the kidney with clearly visible position of a kidney stone inside, accurate enough for planning the operation. It is possible to get a higher model accuracy by reducing the slice thickness during medical imaging ; however, it increases the dose of radiation. Therefore, it is necessary to individually determine the optimum balance between the required quality of images and the amount of radiation that the patient is exposed to during recording.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
152-1521473-1474 - Napredni postupci izravne izradbe polimernih proizvoda (Raos, Pero, MZOS ) ( CroRIS)

Ustanove:
Strojarski fakultet, Slavonski Brod,
Opća bolnica "Dr. Josip Benčević"

Profili:

Avatar Url Tomislav Galeta (autor)

Avatar Url Matej Knežević (autor)

Poveznice na cjeloviti tekst rada:

doi apem-journal.org doi.org

Citiraj ovu publikaciju:

Galeta, Tomislav; Pakši, Ivana; Šišić, Davor; Knežević, Matej
Comparison of 3D scanned kidney stone model versus computer-generated models from medical images // Advances in production engineering & management, 12 (2017), 3; 254-264 doi:10.14743/apem2017.3.256 (međunarodna recenzija, članak, znanstveni)
Galeta, T., Pakši, I., Šišić, D. & Knežević, M. (2017) Comparison of 3D scanned kidney stone model versus computer-generated models from medical images. Advances in production engineering & management, 12 (3), 254-264 doi:10.14743/apem2017.3.256.
@article{article, author = {Galeta, Tomislav and Pak\v{s}i, Ivana and \v{S}i\v{s}i\'{c}, Davor and Kne\v{z}evi\'{c}, Matej}, year = {2017}, pages = {254-264}, DOI = {10.14743/apem2017.3.256}, keywords = {medical images, scanning, 3D model, accuracy, segmentation}, journal = {Advances in production engineering and management}, doi = {10.14743/apem2017.3.256}, volume = {12}, number = {3}, issn = {1854-6250}, title = {Comparison of 3D scanned kidney stone model versus computer-generated models from medical images}, keyword = {medical images, scanning, 3D model, accuracy, segmentation} }
@article{article, author = {Galeta, Tomislav and Pak\v{s}i, Ivana and \v{S}i\v{s}i\'{c}, Davor and Kne\v{z}evi\'{c}, Matej}, year = {2017}, pages = {254-264}, DOI = {10.14743/apem2017.3.256}, keywords = {medical images, scanning, 3D model, accuracy, segmentation}, journal = {Advances in production engineering and management}, doi = {10.14743/apem2017.3.256}, volume = {12}, number = {3}, issn = {1854-6250}, title = {Comparison of 3D scanned kidney stone model versus computer-generated models from medical images}, keyword = {medical images, scanning, 3D model, accuracy, segmentation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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  • INSPEC


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