TL;DR: In this article, Finite difference equations are deduced from a principle of minimum total curvature, and an iterative method of solution is outlined, based on which the spline fit has well defined smoothness properties.
Abstract: Machine contouring must not introduce information which is not present in the data. The one-dimensional spline fit has well defined smoothness properties. These are duplicated for two-dimensional interpolation in this paper, by solving the corresponding differential equation. Finite difference equations are deduced from a principle of minimum total curvature, and an iterative method of solution is outlined. Observations do not have to lie on a regular grid. Gravity and aeromagnetic surveys provide examples which compare favorably with the work of draftsmen.
TL;DR: This paper describes a new method for contouring a signed grid whose edges are tagged by Hermite data (i.e; exact intersection points and normals) and develops an octree-based method for simplifying contours produced by this method.
Abstract: This paper describes a new method for contouring a signed grid whose edges are tagged by Hermite data (i.e; exact intersection points and normals). This method avoids the need to explicitly identify and process "features" as required in previous Hermite contouring methods. Using a new, numerically stable representation for quadratic error functions, we develop an octree-based method for simplifying contours produced by this method. We next extend our contouring method to these simpli£ed octrees. This new method imposes no constraints on the octree (such as being a restricted octree) and requires no "crack patching". We conclude with a simple test for preserving the topology of the contour during simplification.
TL;DR: This chapter discusses practical contouring techniques, as well as general concepts of contouring, and discusses program adaptations, which are used in many of the books on the subject.
Abstract: Section and chapter headings: Figures and tables. Series Editor's foreword. Preface. Practical Contouring. Getting a picture. Data preparation. Setting contour levels. Data windows. Adjusting surface tautness. Display types. Changing color-fill colors. Computing volumes. Trouble shooting. Program adaptations. Principles of Contouring. General concepts of contouring. Data sorting. Subset selection. Local coordinates. Gradient estimation. Interpolation. Blending functions. Output techniques. Execution efficiency. Some published programs. Glossary of contouring terms. References to contouring literature. Appendix: included software. Index. 37 illus., 600 lit. refs. approx.
TL;DR: The dual threshold method offers a robust and fully-automated alternative to the gold standard that can efficiently segment bone regions with accurate and repeatable results.
TL;DR: Consensus guidelines for pelvic normal tissue contouring were reached and are available as a CT image atlas on the RTOG Web site, which will allow uniformity in defining normal tissues for clinical trials delivering pelvic radiation and will facilitate future normal tissue complication research.
Abstract: Purpose To define a male and female pelvic normal tissue contouring atlas for Radiation Therapy Oncology Group (RTOG) trials. Methods and Materials One male pelvis computed tomography (CT) data set and one female pelvis CT data set were shared via the Image-Guided Therapy QA Center. A total of 16 radiation oncologists participated. The following organs at risk were contoured in both CT sets: anus, anorectum, rectum (gastrointestinal and genitourinary definitions), bowel NOS (not otherwise specified), small bowel, large bowel, and proximal femurs. The following were contoured in the male set only: bladder, prostate, seminal vesicles, and penile bulb. The following were contoured in the female set only: uterus, cervix, and ovaries. A computer program used the binomial distribution to generate 95% group consensus contours. These contours and definitions were then reviewed by the group and modified. Results The panel achieved consensus definitions for pelvic normal tissue contouring in RTOG trials with these standardized names: Rectum, AnoRectum, SmallBowel, Colon, BowelBag, Bladder, UteroCervix, Adnexa_R, Adnexa_L, Prostate, SeminalVesc, PenileBulb, Femur_R, and Femur_L. Two additional normal structures whose purpose is to serve as targets in anal and rectal cancer were defined: AnoRectumSig and Mesorectum. Detailed target volume contouring guidelines and images are discussed. Conclusions Consensus guidelines for pelvic normal tissue contouring were reached and are available as a CT image atlas on the RTOG Web site. This will allow uniformity in defining normal tissues for clinical trials delivering pelvic radiation and will facilitate future normal tissue complication research.