Petrucci, Maila ;
La Mattina, Antonino Amedeo ;
Curreli, Cristina ;
Tassinari, Enrico ;
Viceconti, Marco
(2024)
IFFPred collection: Intraoperative Femur Fracture Prediction collection.
University of Bologna.
DOI
10.6092/unibo/amsacta/8058.
[Dataset]
Full text available as:
Abstract
The IFFPred collection dataset is composed of 11 anonymized masked and processed CT scans of whole femurs, the corresponding segmentations, the stem and rasp geometries in the pose selected by a surgeon, and the coordinates of reference points used in the simulations.
One folder for each subject is available: PXX_Y, where XX is the patient code (from 01 to 11) and Y is the modelled side (L for left, R for right).
The file PXX_Y\PXX_Y.nrrd contains the monolateral masked processed CT scan; the voxels included in the segmentation contain the elastic modulus of the voxels, while the other voxels are set to 0.
The bone segmentation is contained in the file PXX_Y\PXX_Bone.stl.
The stem and rasp geometries are contained in the files PXX_Y\PXX_Stem.stl and PXX_Y\PXX_Rasp.stl, respectively.
The coordinates of the points necessary for the definition of the simulation reference system are reported in the file PXX_Y\PXX_Landmarks.txt, namely: Load application point (origin), Stem Apex (X axis direction), Anteroposterior direction (Y axis direction, to be orthogonalised).
The original CT scans were collected at Rizzoli Orthopaedic Institute (IOR) from 1999 to 2016 for surgical planning of hip arthroplasty at the contralateral femur.
The patients CT scans were selected within deceased patients for extreme values in terms of the four most important determinants for bone strength as age, gender, size (estimated with the femoral biomechanical length), and degree of osteoporosis.
All the necessary Ethical committee authorisation documents have been obtained and are available (in Italian) upon request.
Abstract
The IFFPred collection dataset is composed of 11 anonymized masked and processed CT scans of whole femurs, the corresponding segmentations, the stem and rasp geometries in the pose selected by a surgeon, and the coordinates of reference points used in the simulations.
One folder for each subject is available: PXX_Y, where XX is the patient code (from 01 to 11) and Y is the modelled side (L for left, R for right).
The file PXX_Y\PXX_Y.nrrd contains the monolateral masked processed CT scan; the voxels included in the segmentation contain the elastic modulus of the voxels, while the other voxels are set to 0.
The bone segmentation is contained in the file PXX_Y\PXX_Bone.stl.
The stem and rasp geometries are contained in the files PXX_Y\PXX_Stem.stl and PXX_Y\PXX_Rasp.stl, respectively.
The coordinates of the points necessary for the definition of the simulation reference system are reported in the file PXX_Y\PXX_Landmarks.txt, namely: Load application point (origin), Stem Apex (X axis direction), Anteroposterior direction (Y axis direction, to be orthogonalised).
The original CT scans were collected at Rizzoli Orthopaedic Institute (IOR) from 1999 to 2016 for surgical planning of hip arthroplasty at the contralateral femur.
The patients CT scans were selected within deceased patients for extreme values in terms of the four most important determinants for bone strength as age, gender, size (estimated with the femoral biomechanical length), and degree of osteoporosis.
All the necessary Ethical committee authorisation documents have been obtained and are available (in Italian) upon request.
Document type
Dataset
Creators
Keywords
cementless hip stem, patient-specific finite element modelling, intraoperative femur fracture
Subjects
DOI
Contributors
Deposit date
11 Dec 2024 15:53
Last modified
11 Dec 2024 15:53
Related identifier
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Keywords
cementless hip stem, patient-specific finite element modelling, intraoperative femur fracture
Subjects
DOI
Contributors
Deposit date
11 Dec 2024 15:53
Last modified
11 Dec 2024 15:53
Related identifier
Project name
Funding program
EC - H2020
URI
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