Acta Univ. Agric. Silvic. Mendelianae Brun. 2020, 68, 63-72

https://doi.org/10.11118/actaun202068010063
Published online 2020-02-27

Automated Estimation of Loin Muscle Mass in Living Rabbits Using Computed Tomography

Zsolt Matics1, György Kovács2, Ádám Csóka3, Virág Ács1, Rozália Kasza1, Örs Petneházy3, István Nagy1, Rita Garamvölgyi3, Zsolt Petrási3, Tamás Donkó3

1Kaposvár University, Faculty of Agricultural and Environmental Sciences, Guba S. str. 40., H-7400 Kaposvár, Hungary
2Analytical Minds Ltd., Cívis str. 8. 1/9., H-4032 Debrecen, Hungary
3Medicopus Nonprofit Ltd., Research Department, Guba S. str. 40., H-7400 Kaposvár, Hungary

Received July 4, 2019
Accepted January 8, 2020

The objective of this study was to present the updated segmentation technique predicting the loin muscle weight of rabbits based on in vivo computed tomography measurements. The segmented muscle volumes are used to estimate the weight of the loin muscle and the predicted weights are compared to the real weights of meat cuts measured after the dissection of the animals. The R2 value of the proposed technique is 0.74 which is significantly better than the determination coefficients than that of the of the previously used method (R2 0.49). The proposed technique is suitable to be involved in the breeding selection program of rabbits (Pannon White) at Kaposvár University, Hungary.

Funding

This work was supported by the Emberi Erőforrások Minisztériuma (EFOP-3.6.3.-Vekop-16-2017-00005) and the János Bolyai Research Scholarship BO/00871/19 of the Hungarian Academy of Sciences. The publication was supported by the ÚNKP-19-4-KE-24 New National Excellence Program of the Ministry for Innovation and Technology.

References

27 live references