Paper
20 April 1993 Automating measurement from standard radiographs
Adam I. Harris M.D., Dov Dori, Mitchell Sheinkop, Eric Berkson, Robert M. Haralick
Author Affiliations +
Proceedings Volume 1827, Model-Based Vision; (1993) https://doi.org/10.1117/12.143067
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
An obligatory portion of orthopaedic examination is a radiographic examination. Techniques, such as computed tomography easily lend themselves to computerized analysis. Both expense and hazards from radiation prohibit their routine use in orthopaedic practice. Standard radiographs provide a significant amount of information for the orthopaedic surgeon. From the radiographs, surgeons will make many measurements and assessments. A major problem is that measurements are performed by hand and most often by the operating surgeon who may not be completely objective. To overcome this as well as to alleviate the burden of manual measurements which must be made by trained professionals, we have initiated a program to automate certain radiographic measurements. The technique involves digitizing standard radiographs from which features are extracted and identified. This poses a challenge. Structures, such as soft tissues (muscle, and bowel) markedly decrease the signal to noise ratio of the image. The work discusses modeling of the soft tissue structures in order to enhance detection and identification of bone landmarks. These are the anchors for standard measurements which in turn have clinical utility.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adam I. Harris M.D., Dov Dori, Mitchell Sheinkop, Eric Berkson, and Robert M. Haralick "Automating measurement from standard radiographs", Proc. SPIE 1827, Model-Based Vision, (20 April 1993); https://doi.org/10.1117/12.143067
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KEYWORDS
Radiography

Surgery

Tissues

Bone

Computed tomography

Feature extraction

Signal to noise ratio

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