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Lars Bager Christensen Application of CT Scanning in (Meat) Industry Accuracy in Biology ???????? ?????

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Page 1: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Lars Bager Christensen

Application of

CT Scanning in (Meat) Industry

Accuracy in Biology

????????

?????

Page 2: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Motivation - statistics of rigid anatomy

Geometric reference

Rigid structure

Design tool

Quantify anatomic variation

Page 3: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Motivation - statistics of yield

Use the right raw material

for a specific final product

Challenge:

Elastic structure

Benefits:

Product planning

Cost estimation

Controlling machines

Yield = Final product [kg]

Raw material [kg]

Page 4: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Volume Grading

Based on weight measurement

Objective & reproducible

Warm or chilled carcass

Wtotal = Vfat∙ βfat

+ Vmeat∙ βmeat

+ Vbone∙ βbone

Page 5: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Primal cutting

Real vs. virtual

Page 6: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Validation of cuts

Cutting into

Primals Ham Middle Shoulder

Mean difference -0.0023 -0.0027 0.005

Rel. mean difference -0.71% -0.73% 1.6%

Standard deviation 0.0028 0.0083 0.0068

•Cutting yield by

expert points

•Cutting yield by

algorithm points

•Mean and SD of

difference

Page 7: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Cutting level I

Estimating primal yield

Page 8: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Cutting level I

Objectivity in benchmarking

Average densities Fat Meat Bone

Denmark 0.997 1.117 1.433

Norway 0.976 1.105 1.434

Germany 0.984 1.108 1.463

Sweden 0.990 1.120 1.419

Page 9: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Cutting level II

Estimating final

product yield

Page 10: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Cutting level III

Cutting complexity increases

- for algorithm and operator

y = 0,8171x + 0,7758 R² = 0,8773

4,0

4,5

5,0

5,5

6,0

6,5

7,0

7,5

8,0

4,0 5,0 6,0 7,0 8,0

gt

vir

tuel skæ

rin

g -

b

ack18 4

0m

m s

k

vægt skæreforsøg - back18

Virtuel skæring vs. skæreforsøg back18 40 mm

y = 0,5236x + 1,4234 R² = 0,6232

3,5

4,0

4,5

5,0

5,5

6,0

6,5

7,0

7,5

8,0

3,5 4,5 5,5 6,5 7,5

gt

vir

tuel skæ

rin

g -

b

ack 3

mm

sp

æk

vægt skæreforsøg - back18

Virtuel skæring vs. skæreforsøg back18 3 mm

Page 11: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Accuracy chain

Process Scanning

protocol

Assessment Tissue

density

Cutting

level

Primary

contributions

Manufacturer Algorithm Age Recipe

Reconstruction Breed Alignment

Slice thickness Feeding

Energy

Range 0.1% - 1.0% 0.1% - 1.3% Approx. 1 % In progress

Virtual cutting

Expert cutting

1,96 1,9

0

0,86

0,26

1,130,91

1,43

0

0,5

1

1,5

2

2,5

1 2 3 4 5 6 7 8

Butcher 3 = 57.60

Pe

rce

nt

Page 12: Application of CT Scanning in (Meat) Industry · Lars Bager Christensen lbc@teknologisk.dk Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg, Mads Fogtmann, Martin Vester-Christensen,

Questions??

Lars Bager Christensen

[email protected]

Allan Lyckegaard, Peter Stanley, Hans Henrik Thodberg,

Mads Fogtmann, Martin Vester-Christensen, Søren Erbou,

Thomas Mosbech, Lasse Farnung Laursen, Bjarne

Ersbøll, Rasmus Larsen, Michael Judas, Jesper Blom-

Hanssen, Claus Borggaard, Eli V. Olsen, Marchen Hviid,

Ronald Sørensen, Claus Søndergård, Peter Vorup, Torben

Kvamm, Mianne Darré, Bo Jespersen, Mikkel Engbo

Jørgensen, Omar Gamarra, Niels Chr. Kjærsgaard, ……

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