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Pregled bibliografske jedinice broj: 887704

Automated marker localization in the planning phase of robotic neurosurgery


Šuligoj, Filip; Švaco, Marko; Jerbić, Bojan; Šekoranja, Bojan; Vidaković, Josip
Automated marker localization in the planning phase of robotic neurosurgery // IEEE Access, 5 (2017), 12265-12274 doi:10.1109/ACCESS.2017.2718621 (međunarodna recenzija, članak, znanstveni)


Naslov
Automated marker localization in the planning phase of robotic neurosurgery

Autori
Šuligoj, Filip ; Švaco, Marko ; Jerbić, Bojan ; Šekoranja, Bojan ; Vidaković, Josip

Izvornik
IEEE Access (2169-3536) 5 (2017); 12265-12274

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

Ključne riječi
Accuracy ; biomedical image processing ; clinical trials ; DICOM ; medical robotics ; stereotaxy

Sažetak
Accurate patient registration is a critical issue in medical image-guided interventions. The neurosurgical robotic system RObotic Neuro- NAvigation (RONNA) uses four retro-reflective spheres, on a marker attached to the patient’s cranial bone, for patient registration in physical and image space. In this paper, the algorithm for automatic localization of spherical fiducials in CT scans is presented and clinically evaluated. The developed localization algorithm uses a unique approach, which combines machine vision algorithms, biomedical image filtration methods, and mathematical estimation methods. The performance of the localization algorithm was evaluated in comparison with four skilled human operators. The measurements were based on twelve patient and eight lab phantom CT scans. The localization error of the algorithm in comparison with the human readings was smaller by 49.29% according to the ground truth estimation and by 45.91% according to the intra-modal estimation. Localization processing time was reduced by 84.96%. Reliability in terms of successful localization of the fiducial marker was 100% for 20 different test samples containing a total of 116 spherical fiducials. Based on the tests carried out in clinical conditions, the localization algorithm has demonstrated reliability with a high degree of accuracy and short processing time. The developed algorithm provides fully automated and accurate machine vision-based patient localization for the neurosurgical clinical application of the robotic system RONNA.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Strojarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-4192

Ustanove
Fakultet strojarstva i brodogradnje, Zagreb

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


Uključenost u ostale bibliografske baze podataka:


  • Science citation index expanded


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