Three-dimensional reconstruction of the human body

Informatics in radiology (infoRAD): introduction to the language of three-dimensional imaging with multidetector CT

The recent proliferation of multi-detector row computed tomography (CT) has led to an increase in the creation and interpretation of images in planes other than the traditional axial plane. Powerful three-dimensional (3D) applications improve the utility of detailed CT data but also create confusion among radiologists, technologists, and referring clinicians when trying to describe a particular method or type of image. Designing examination protocols that optimize data quality and radiation dose to the patient requires familiarity with the concepts of beam collimation and section collimation as they apply to multi-detector row CT. A basic understanding of the time-limited nature of projection data and the need for thin-section axial reconstruction for 3D applications is necessary to use the available data effectively in clinical practice. The axial reconstruction data can be used to create nonaxial two-dimensional images by means of multiplanar reformation. Multiplanar images can be thickened into slabs with projectional techniques such as average, maximum, and minimum intensity projection; ray sum; and volume rendering. By assigning a full spectrum of opacity values and applying color to the tissue classification system, volume rendering provides a robust and versatile data set for advanced imaging applications.

Virtual tracheo-bronchial endoscopy: educational and diagnostic value

The use of Helical CT significantly improves image quality of examinations in a number of clinical settings. It is particularly suited to the study of the tracheo-bronchial tree as a result of new ways of image processing (developed by GEMS research) which can produce virtual endoscopic images without the use of an endoscope. We present our initial anatamo-radiological findings and their educational value as well as our thoughts on potential future clinical applications.

Enhanced displays of medical images: evaluation of the effectiveness of color, motion, and contour for detecting and localizing liver lesions

RATIONALE AND OBJECTIVES

Many perceptual studies have shown that the detection of large, low-contrast targets is better either in color or in contrast-reversing presentations than in standard gray scale. We determined the value of several new display techniques for viewing liver computed tomography (CT) scans.

METHODS

Eight observers (four radiologists and four nonradiologists) viewed sets of 100 liver CT images (50 with lesions and 50 without) under five display conditions on a Macintosh computer: (1) color (equiluminant color contrast); (2) color-luminance (combined luminance and chromatic contrast); (3) flicker (luminance contrast that reversed polarity at 2 Hz); (4) contour (shaded intensity mapping); and (5) control (conventional gray scale). Receiver operating characteristics (ROC) techniques were used for analysis.

RESULTS

The measured ROC curve areas for the different viewing conditions were as follows: control = 0.77 +/- 0.01 (mean +/- standard error of the mean); color = 0.78 +/- 0.01; color-luminance = 0.82 +/- 0.01; flicker = 0.78 +/- 0.01; and contour = 0.76 +/- 0.01. The percentage of lesions correctly located ranged from 0.82 (color-luminance) to 0.75 (flicker). Performance under the color-luminance condition was significantly better than in the control condition (p = .01), whereas the other experimental conditions were not significantly different from the control condition (p > .21).

CONCLUSION

The use of mixed color and luminance displays may have perceptual advantages for radiologists and can improve performance over that of gray-scale viewing.

Two-dimensional and three-dimensional imaging of the in vivo lung: combining spiral computed tomography with multiplanar and volumetric rendering techniques

We applied multiplanar techniques and a modified version of our volumetric rendering program for three-dimensional imaging to single-breath hold spiral computed tomography (CT) datasets to generate two- and three-dimensional (2-D and 3-D) images of the in vivo lung. We report details of the combined 2-D/3-D spiral CT technique along with three representative cases from our initial experience.

Three dimensional CT of central lung tumors

Three-dimensional computed tomography (CT) reconstructions and conventional CT were compared with surgical/pathological findings in seven patients with central lung tumors, in order to assess accuracy in predicting the lobectomy/pneumonectomy decision. Although conventional CT surpassed 3D CT in diagnosing bronchial tumor invasion, 3D CT appeared to be better for central arterial invasion. Despite problems due to motion effects, partial volume averaging and the time consuming nature of the reconstruction process, 3D CT is probably useful in this setting and promises to have similar applications throughout the body.