Commissioner’s Planning Guidance, 2013

As technology evolves, vital resources shift, and the state’s population diversifies, Public Safety will have a unique opportunity to show our integrity, values, and worth to the citizens of Iowa. To take advantage of this unique moment in history, and will remain committed to, proactive and on-going strategic mapping. This strategic work will always be guided by Public Safety’s mission and core values, as well as by our responsibility to support local Police Departments and Sheriff’s Offices.

Iowa Public Television’s Planning Targets 2011-2014

Agency Performance Plan, Iowa Public Television

Final Planning Report for City of Boone, Iowa, 1962, Vol. 1

This is volume 1 of the final report on the Comprehensive Plan for the City of Boone. Contained in this report are reproductions of the important maps and charts prepared in connection with this study.

Final Planning Report for City of Boone, Iowa, March 1962, Vol. 2

This is volume 2 of the final report on the Comprehensive Plan for the City of Boone. Contained in this report are reproductions of the important maps and charts prepared in connection with this study.

Final planning report for City of Boone, Iowa, 1962, Vol. 3

This is volume 3 of the final report on the Comprehensive Plan for the City of Boone. Contained in this report are reproductions of the important maps and charts prepared in connection with this study.

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

In this paper, we present the segmentation of the headand neck lymph node regions using a new active contourbased atlas registration model. We propose to segment thelymph node regions without directly including them in theatlas registration process; instead, they are segmentedusing the dense deformation field computed from theregistration of the atlas structures with distinctboundaries. This approach results in robust and accuratesegmentation of the lymph node regions even in thepresence of significant anatomical variations between theatlas-image and the patient's image to be segmented. Wealso present a quantitative evaluation of lymph noderegions segmentation using various statistical as well asgeometrical metrics: sensitivity, specificity, dicesimilarity coefficient and Hausdorff distance. Acomparison of the proposed method with two other state ofthe art methods is presented. The robustness of theproposed method to the atlas selection, in segmenting thelymph node regions, is also evaluated.