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DOI 10.5455/ovj.2026.v16.i4.29

Медицинская библиотека · Open veterinary journal · 2026

Development and evaluation of a gelatin-based phantom model for veterinary diagnostic imaging training.

Ghossani Muhammad Nico, Maryani Maryani, Pamungkas Fitra Aji, Jakaria Jakaria, Ulum Mokhamad Fakhrul

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Аннотация

BACKGROUND

Simulation-based training enhances the competency of veterinarians and veterinary students in diagnostic imaging, with phantoms serving as ethical alternatives to the use of animal tissues. However, in many developing countries, the high cost of commercial phantoms limits their accessibility.

AIM: This study aimed to develop and evaluate a low-cost, gelatin-based phantom as an alternative model for veterinary training.

METHODS

In this study, we developed and evaluated a low-cost phantom using animal-based gelatin in the form of "ballistic gel" with or without 10% buffered normal formaldehyde (BNF) preservative. Metal beads, plastic beads, and quail eggs were embedded within the phantom as foreign body models. Durability and imaging quality were assessed using ultrasonography (USG), digital radiography, and electrical impedance tomography (EIT).

RESULTS

The non-preserved phantom exhibited extensive syneresis (90.95%), whereas the BNF-preserved phantom exhibited minimal syneresis (2.53%), thereby maintaining a better texture and durability. The addition of the BNF preservative did not affect echogenicity or visibility of embedded foreign bodies. USG provides limited differentiation among foreign body types, whereas radiography offers a clear distinction between them. EIT further identifies foreign bodies through resistivity contrast, with materials represented by distinct colors.

CONCLUSION

BNF-preserved gelatin phantoms offer a cost-effective and durable alternative for simulation-based imaging training.

Для цитирования: Ghossani Muhammad Nico, Maryani Maryani, Pamungkas Fitra Aji, Jakaria Jakaria, Ulum Mokhamad Fakhrul. Development and evaluation of a gelatin-based phantom model for veterinary diagnostic imaging training.. Open veterinary journal. 2026. DOI: 10.5455/ovj.2026.v16.i4.29.

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