Liver segmentation 3D-IRCADb-01

The 3D-IRCADb-01 database is composed of the 3D CT-scans of 10 women and 10 men with hepatic tumours in 75% of cases. The 20 folders correspond to 20 different patients, which can be downloaded individually or conjointly. The table below provides information on the image, such as liver size (width, depth, height) or the location of tumours according to Couninaud’s segmentation. It also indicates the major difficulties liver segmentation software may encounter due to the contact with neighbouring organs, an atypical shape or density of the liver, or even artefacts in the image.

These folders are called “3D-IRCADb-1-number” (the number varying between 01 and 20).. These folders are called “3D-IRCADb-01-number” (the number varying between 01 and 20). Each “3D-IRCADb-01-number” folder contains 4 sub-folders called “PATIENT_DICOM”, “LABELLED_DICOM”, “MASKS_DICOM” and “MESHES_VTK”. These folders respectively contain the anonymized patient image in DICOM format, the labelled image corresponding to the various zones of interest segmented in DICOM format, a new set of sub-folders corresponding to the names of the various segmented zones of interest containing the DICOM image of each mask, and finally, all the files corresponding to surface meshes of the various zones of interest in VTK format.

Description of the 20 cases of 3D-IRCADb-01


Overview

Sex

Year of birth

Voxel size (mm)

Image size (pixels)

Liver size (cm)

Liver Average density

Liver pathologies

Segmentation drawbacks

Download


1

F

1944

0,57
0,57
1,6

512
512
129

18,3
15,1
14,1

111

7 tumours in III, IV/V, VII, VIII

stomach, pancreas, duodenum

Download

Size 37Mb


2

F

1987

0,78
0,78
1,6

512
512
172

20,1
16,9
15,7

84

1 tumour in V

pancreas, duodenum

Download

Size 41Mb


3

M

1956

0,62
0,62
1,25

512
512
200

16,7
14,9
15,2

108

1 tumour in IV

Artefac due to metal

Download

Size 61Mb


4

M

1942

0,74
0,74
2

512
512
91

16,9
12,0
17,2

107

7 tumours

heart

Download

Size 28Mb


5

M

1957

0,78
0,78
1,6

512
512
139

19,8
18,6
19,1

69

0 tumour in Liver

diaphragm, duodenum

Download

Size 42Mb


6

M

1929

0,78
0,78
1,6

512
512
135

18,8
14,3
20,2

105

20 tumours in liver

Heart

Download

Size 40Mb


7

M

1946

0,78
0,78
1,6

512
512
151

24,9
15,2
16,6

115

0 tumour in Liver (1 adrenal)

spleen

Download

Size 37Mb


8

F

1970

0,56
0,56
1,6

512
512
124

23,5
17,1
12,5

159

3 tumours in I, II and IV

Download

Size 34Mb


9

M

1949

0,87
0,87
2

512
512
111

20,6
17,0
18,1

90

1 tumour in V/VIII

stomach, colon

Download

Size 33Mb


10

F

1953

0,73
0,73
1,6

512
512
122

18,4
15,5
14,8

104

8 tumours

duodenum, pancreas

Download

Size 34Mb


11

M

1966

0,72
0,72
1,6

512
512
132

19,1
14,4
16,2

108

0 tumour in Liver

stomach, pancreas

Download

Size 36Mb


12

F

1973

0,68
0,68
1,0

512
512
260

19,3
17,7
11,0

118

1 tumour in VI

Download

Size 65Mb


13

M

1951

0,67
0,67
1,6

512
512
122

20,0
12,9
18,1

111

20 tumours

duodenum, heart

Download

Size 33Mb


14

F

1970

0,72
0,72
1,6

512
512
113

22,4
15,4
13,4

109

0 tumour in Liver

spleen, pancreas

Download

Size 30Mb


15

F

1946

0,78
0,78
1,6

512
512
125

18,8
17,7
14,7

104

2 tumours in II and VIII

pancreas

Download

Size 30Mb


16

M

1950

0,70
0,70
1,6

512
512
155

20,2
17,7
20,2

40

1 tumour in V

muscle

Download

Size 41Mb


17

M

1942

0,74
0,74
1,6

512
512
119

19,8
17,4
18,9

99

2 tumours in II and VIII

stomach, heart

Download

Size 31Mb


18

F

1958

0,74
0,74
2,5

512
512
74

22,5
15,1
18,6

49

1 tumour in IV/V

oesophagus, muscles

Download

Size 22Mb


19

F

1970

0,70
0,70
4

512
512
124

19,5
16,5
14,2

135

46 tumours

stomach, duodenum, pancreas

Download

Size 31Mb


20

F

1949

0,81
0,81
2

512
512
225

20,0
16,6
16,8

59

0 tumour in Liver

stomach

Download

Size 63Mb

For reference, please cite our publication below. For any further information, please contact us.

Soler, L., A. Hostettler, V. Agnus, A. Charnoz, J. Fasquel, J. Moreau, A. Osswald, M. Bouhadjar, and J. Marescaux. “3D image reconstruction for comparison of algorithm database: A patient specific anatomical and medical image database.” IRCAD, Strasbourg, France, Tech. Rep (2010)

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