Repository for Image Data
Harris MD, Anderson AE, Henak CR, Ellis BJ, Peters CL, Weiss JA: Finite element prediction of cartilage contact stresses in normal human hips. Journal of Orthopaedic Research, 30(7), 2012.
DOI: http://dx.doi.org/10.1002/jor.22040
Overview
It is difficult to obtain high resolution image data of human diarthrodial joints. This is due to the effort required to obtain IRB approval, to recruit subjects and to perform the image acquisition. Therefore, we have made CT arthrogram image datasets available from the 10 subjects included in our finite element analysis of cartilage contact stresses. We hope that the availability of these image datasets will assist other investigators who wish to study the articular cartilage and/or mechanics of the normal human hip joint.
Accessing the Image Data
Separate files are available for each of the 10 subjects. Each file is a Linux tape archive (tar) file, compressed with GNU Zip (gzip). Thus each file has the ending “.tar.gz”. The size of each file is approximately 3 GB.
Under Linux or other Unix operating systems, each individual download can be uncompressed and extracted using the commands:
- gunzip .tar.gz
- tar – xvf .tar
This will create a subdirectory containing all of the image data files for the particular subject in DICOM format, as well as a copy of the license agreement and this file. Each image file represents one slice of the image dataset.
Both gzip and tar are available for Windows, and there are a number of free software tools that can extract .tar.gz files under Windows.
The image files have the extension “.dcm”. Many image processing, segmentation and visualization programs can open these DICOM files directly. The free software ImageJ is one option:
http://rsbweb.nih.gov/ij/
To open an image stack in Image J, choose “Import” from the “File” menu, and then choose “Image Sequence”. Choose the first image in the stack and then click “Open”.
Subject Information
Volunteers were recruited to match the age, weight, and body mass index of patients with acetabular dysplasia commonly treated in our clinic. The basic characteristics of these volunteers are listed in the table below.
Subject # | Age | Sex | Weight (kg) | Height (cm) | BMI |
---|---|---|---|---|---|
JOR01 | 31 | F | 60 | 164 | 22 |
JOR02 | 28 | M | 66 | 177 | 21 |
JOR03 | 29 | F | 49 | 164 | 18 |
JOR04 | 24 | M | 71 | 180.5 | 22 |
JOR05 | 21 | F | 63 | 176 | 20 |
JOR06 | 21 | F | 56 | 172 | 19 |
JOR07 | 30 | M | 87 | 179 | 27 |
JOR08 | 32 | M | 75 | 180.5 | 23 |
JOR09 | 27 | M | 93 | 182 | 28 |
JOR10 | 21 | F | 80 | 165 | 29 |
Image Acquisition
CT images were acquired at the University of Utah Hospital. One hip from each subject was selected randomly to receive a CT arthrogram. The hip capsule was injected with ~20 ml of a diluted contrast agent (2:1 lidocaine to OMNIPAQUE® 350, GE Healthcare Inc, Princeton, NJ) under fluoroscopic guidance. Multi-detector CT scans of the entire pelvis and both femurs were obtained within 10 minutes of injection (120 kVp, 100-400 mAs, 512×512 matrix, 1.0 pitch, 300-400 mm FOV, 0.75-1.0 mm slice thickness). Joint traction was applied during the scan using a hare traction device to ensure that the contrast agent filled the joint space. The images below indicate the bone and cartilage regions in the image data.
Resampled Image Information
CT images were resampled using a Lanczos filter kernel to improve the resolution of the segmentation masks. These resampled images are provided on the web page.
Subject # | Resampled in-plane resolution | Original in-plane resolution | Resampled in-plane pixel spacing (mm) | Resampled slice thickness (mm) | Number of slices | Original slice thickness (mm) | Bit depth |
---|---|---|---|---|---|---|---|
JOR01 | 1536 x 1536 | 512×512 | 0.21875 x 0.21875 | 0.2333 | 1038 | 0.70 | 16 |
JOR02 | 1536 x 1536 | 512×512 | 0.22526 x 0.22526 | 0.2333 | 1065 | 0.70 | 16 |
JOR03 | 1536 x 1536 | 512×512 | 0.23307 x 0.23307 | 0.2333 | 1072 | 0.70 | 16 |
JOR04 | 1536 x 1536 | 512×512 | 0.23372 x 0.23372 | 0.3333 | 805 | 1.0 | 16 |
JOR05 | 1536 x 1536 | 512×512 | 0.21875 x 0.21875 | 0.3333 | 769 | 1.0 | 16 |
JOR06 | 1536 x 1536 | 512×512 | 0.23697 x 0.23697 | 0.3333 | 779 | 1.0 | 16 |
JOR07 | 1536 x 1536 | 512×512 | 0.21549 x 0.21549 | 0.3333 | 826 | 1.0 | 16 |
JOR08 | 1536 x 1536 | 512×512 | 0.21744 x 0.21744 | 0.3333 | 756 | 1.0 | 16 |
JOR09 | 1536 x 1536 | 512×512 | 0.26367 x 0.26367 | 0.3333 | 735 | 1.0 | 16 |
JOR10 | 1536 x 1536 | 512×512 | 0.24674 x 0.24674 | 0.3333 | 723 | 1.0 | 16 |