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.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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)

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

Aperçu 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 (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 (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 (61Mb)
4 M 1942 0,74
0,74
2
512
512
91
16,9
12,0
17,2
107 7 tumours heart Download (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (63Mb)