Assessing beef carcass tissue weights using computed tomography spirals of primal cuts.

Area of Science:

• Animal Science
• Food Science
• Imaging Technology

Background:

• Accurate assessment of beef carcass composition is crucial for quality grading and value determination.
• Traditional physical dissection is time-consuming, labor-intensive, and destructive.

Purpose of the Study:

• To evaluate the accuracy of spiral computed tomography (CT) for estimating the weight of fat, muscle, and bone in beef primal cuts and entire carcasses.
• To compare the efficiency and cost-effectiveness of CT scanning versus physical dissection.

Main Methods:

• Spiral CT scanning of over 800 beef primal cuts from 44 carcasses.
• Estimation and validation of tissue segmentation thresholds (fat, muscle, bone) using a two-dataset approach (DBE and DBV).
• Automatic image analysis for tissue weight assessment.

Main Results:

• High regression coefficients (R²) were achieved for fat (0.89–0.92), muscle (0.99), and bone (0.95–0.97) when comparing CT estimates to dissection data.
• CT scanning accurately predicted total carcass tissue weights (R² = 0.95–0.96).

Conclusions:

• Spiral CT scanning provides highly accurate estimations of beef carcass composition.
• CT offers a faster, more cost-effective, and non-destructive method for beef carcass analysis compared to physical dissection.