The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Interactive display and analysis of 3-D medical images
Abstract
The ANALYZE software system, which permits detailed investigation and evaluation of 3-D biomedical images, is discussed. ANALYZE can be used with 3-D imaging modalities based on X-ray computed tomography, radionuclide emission tomography, ultrasound tomography, and magnetic resonance imaging. The package is unique in its synergistic integration of fully interactive modules for direct display, manipulation, and measurement of multidimensional image data. One of the most versatile and powerful capabilities in ANALYZE is image volume rendering for 3-D display. An important advantage of this technique is that it can be used to display 3-D images directly from the original data set and to provide on-the-fly combinations of selected image transformations, such as surface segmentation, cutting planes, transparency, and/or volume set operations (union, intersection, difference, etc.). The module has been optimized to be fast (interactive) without compromising image quality. The software is written entirely in C and runs on standard UNIX workstations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Display of surfaces from volume data
Levoy, M. (1988) · IEEE Computer Graphics and Applications · doi:10.1109/38.511 · Cited by 2,446
Drebin, R. A., Carpenter, L., & Hanrahan, P. (1988) · ACM SIGGRAPH Computer Graphics · doi:10.1145/378456.378484 · Cited by 1,612
Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations
Grossberg, S., & Mingolla, E. (1985) · Perception & Psychophysics · doi:10.3758/bf03198851 · Cited by 815
Multiple Resolution Texture Analysis and Classification
Peleg, S., Naor, J., Hartley, R., & Avnir, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767557 · Cited by 790
Ray casting for modeling solids
Roth, S. D. (1982) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(82)90169-1 · Cited by 606
Shading 3D-Images from CT Using Gray-Level Gradients
Hohne, K. H., & Bernstein, R. (1986) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1986.4307738 · Cited by 252
Drebin, R. A., Carpenter, L., & Hanrahan, P. (1988) · Proceedings of the 15th annual conference on Computer graphics and interactive techniques · doi:10.1145/54852.378484 · Cited by 197
Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform
Pizer, S. M., Oliver, W. R., & Bloomberg, S. H. (1987) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1987.4767938 · Cited by 121
Cited by
Three-dimensional ultrasound imaging
Fenster, A., Downey, D. B., & Cardinal, H. N. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/5/201 · Cited by 812
Cerebral Astrocyte Response to Micromachined Silicon Implants
Turner, J. N., Shain, W., Szarowski, D. H., Andersen, M., Martins, S., Isaacson, M., & Craighead, H. (1999) · Experimental Neurology · doi:10.1006/exnr.1998.6983 · Cited by 592
3-D ultrasound imaging: a review
Fenster, A., & Downey, D. B. (1996) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.544511 · Cited by 403
Jensen, M., Kanaley, J., Reed, J., & Sheedy, P. (1995) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/61.2.274 · Cited by 344
Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans
Freeborough, P. A., Fox, N. C., & Kitney, R. I. (1997) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(97)01803-8 · Cited by 276
Metadata
- Authors
- Robb, R. A., & Barillot, C.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1989
- Volume
- 8
- Issue
- 3
- Pages
- 217-226
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2076913963
- Cited by
- 314
- References
- 8
- FWCI
- 21.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Interactive display and analysis of 3-D medical images. https://app.cochat.ai/papers/10.1109/42.34710
- The paper
- Robb, R. A., & Barillot, C. (1989). Interactive display and analysis of 3-D medical images. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.34710
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.