3-D Post-processing: Principles and Practical Applications

Author:

Udayasankar Unni K.,Momin Zaheerabbas,Small William C.

Publisher

Springer Milan

Reference86 articles.

1. Cuk V, Belina S, Fure R et al (2007) Virtual bronchoscopy and 3-D spiral CT reconstructions in the management of patient with bronchial cancer—our experience with Syngo 3-D postprocessing software. Coll Antropol 31:315–320

2. Jaffe TA, Nelson RC, Johnson GA et al (2006) Optimization of multiplanar reformations from isotropic data sets acquired with 16-detector row helical CT scanner. Radiology 238:292–299

3. Kozuka T, Tomiyama N, Johkoh T et al (2003) Coronal multiplanar reconstruction view from isotropic voxel data sets obtained with multidetector-row CT: assessment of detection and size of medistinal and hilar lymph nodes. Radiat Med 21:23–27

4. Lucey BC, Stuhlfaut JW, Hochberg AR et al (2005) Evaluation of blunt abdominal trauma using PACS-based 2-D and 3-D MDCT reformations of the lumbar spine and pelvis. AJR Am J Roentgenol 185:1435–1440

5. van Ooijen PM, Ho KY, Dorgelo J, Oudkerk M (2003) Coronary artery imaging with multidetector CT: visualization issues. Radiographics 23:e16

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