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Dive into the research topics where Daniel Lodwick is active.

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Featured researches published by Daniel Lodwick.


Physics in Medicine and Biology | 2010

The UF family of reference hybrid phantoms for computational radiation dosimetry

Choonsik Lee; Daniel Lodwick; Jorge L. Hurtado; Deanna Pafundi; Jonathan L. Williams; Wesley E. Bolch

Computational human phantoms are computer models used to obtain dose distributions within the human body exposed to internal or external radiation sources. In addition, they are increasingly used to develop detector efficiencies for in vivo whole-body counters. Two classes of computational human phantoms have been widely utilized for dosimetry calculation: stylized and voxel phantoms that describe human anatomy through mathematical surface equations and 3D voxel matrices, respectively. Stylized phantoms are flexible in that changes to organ position and shape are possible given avoidance of region overlap, while voxel phantoms are typically fixed to a given patient anatomy, yet can be proportionally scaled to match individuals of larger or smaller stature, but of equivalent organ anatomy. Voxel phantoms provide much better anatomical realism as compared to stylized phantoms which are intrinsically limited by mathematical surface equations. To address the drawbacks of these phantoms, hybrid phantoms based on non-uniform rational B-spline (NURBS) surfaces have been introduced wherein anthropomorphic flexibility and anatomic realism are both preserved. Researchers at the University of Florida have introduced a series of hybrid phantoms representing the ICRP Publication 89 reference newborn, 15 year, and adult male and female. In this study, six additional phantoms are added to the UF family of hybrid phantoms-those of the reference 1 year, 5 year and 10 year child. Head and torso CT images of patients whose ages were close to the targeted ages were obtained under approved protocols. Major organs and tissues were segmented from these images using an image processing software, 3D-DOCTOR. NURBS and polygon mesh surfaces were then used to model individual organs and tissues after importing the segmented organ models to the 3D NURBS modeling software, Rhinoceros. The phantoms were matched to four reference datasets: (1) standard anthropometric data, (2) reference organ masses from ICRP Publication 89, (3) reference elemental compositions provided in ICRP 89 as well as ICRU Report 46, and (4) reference data on the alimentary tract organs given in ICRP Publications 89 and 100. Various adjustments and refinements to the organ systems of the previously described newborn, 15 year and adult phantoms are also presented. The UF series of hybrid phantoms retain the non-uniform scalability of stylized phantoms while maintaining the anatomical realism of patient-specific voxel phantoms with respect to organ shape, depth and inter-organ distance. While the final versions of these phantoms are in a voxelized format for radiation transport simulation, their primary format is given as NURBS and polygon mesh surfaces, thus permitting one to sculpt non-reference phantoms using the reference phantoms as an anatomic template.


Physics in Medicine and Biology | 2007

Hybrid computational phantoms of the male and female newborn patient : NURBS-based whole-body models

Choonsik Lee; Daniel Lodwick; Deanna Hasenauer; Jonathan L. Williams; Choonik Lee; Wesley E. Bolch

Anthropomorphic computational phantoms are computer models of the human body for use in the evaluation of dose distributions resulting from either internal or external radiation sources. Currently, two classes of computational phantoms have been developed and widely utilized for organ dose assessment: (1) stylized phantoms and (2) voxel phantoms which describe the human anatomy via mathematical surface equations or 3D voxel matrices, respectively. Although stylized phantoms based on mathematical equations can be very flexible in regard to making changes in organ position and geometrical shape, they are limited in their ability to fully capture the anatomic complexities of human internal anatomy. In turn, voxel phantoms have been developed through image-based segmentation and correspondingly provide much better anatomical realism in comparison to simpler stylized phantoms. However, they themselves are limited in defining organs presented in low contrast within either magnetic resonance or computed tomography images-the two major sources in voxel phantom construction. By definition, voxel phantoms are typically constructed via segmentation of transaxial images, and thus while fine anatomic features are seen in this viewing plane, slice-to-slice discontinuities become apparent in viewing the anatomy of voxel phantoms in the sagittal or coronal planes. This study introduces the concept of a hybrid computational newborn phantom that takes full advantage of the best features of both its stylized and voxel counterparts: flexibility in phantom alterations and anatomic realism. Non-uniform rational B-spline (NURBS) surfaces, a mathematical modeling tool traditionally applied to graphical animation studies, was adopted to replace the limited mathematical surface equations of stylized phantoms. A previously developed whole-body voxel phantom of the newborn female was utilized as a realistic anatomical framework for hybrid phantom construction. The construction of a hybrid phantom is performed in three steps: polygonization of the voxel phantom, organ modeling via NURBS surfaces and phantom voxelization. Two 3D graphic tools, 3D-DOCTOR and Rhinoceros, were utilized to polygonize the newborn voxel phantom and generate NURBS surfaces, while an in-house MATLAB code was used to voxelize the resulting NURBS model into a final computational phantom ready for use in Monte Carlo radiation transport calculations. A total of 126 anatomical organ and tissue models, including 38 skeletal sites and 31 cartilage sites, were described within the hybrid phantom using either NURBS or polygon surfaces. A male hybrid newborn phantom was constructed following the development of the female phantom through the replacement of female-specific organs with male-specific organs. The outer body contour and internal anatomy of the NURBS-based phantoms were adjusted to match anthropometric and reference newborn data reported by the International Commission on Radiological Protection in their Publication 89. The voxelization process was designed to accurately convert NURBS models to a voxel phantom with minimum volumetric change. A sensitivity study was additionally performed to better understand how the meshing tolerance and voxel resolution would affect volumetric changes between the hybrid-NURBS and hybrid-voxel phantoms. The male and female hybrid-NURBS phantoms were constructed in a manner so that all internal organs approached their ICRP reference masses to within 1%, with the exception of the skin (-6.5% relative error) and brain (-15.4% relative error). Both hybrid-voxel phantoms were constructed with an isotropic voxel resolution of 0.663 mm--equivalent to the ICRP 89 reference thickness of the newborn skin (dermis and epidermis). Hybrid-NURBS phantoms used to create their voxel counterpart retain the non-uniform scalability of stylized phantoms, while maintaining the anatomic realism of segmented voxel phantoms with respect to organ shape, depth and inter-organ positioning.


Medical Physics | 2008

Hybrid computational phantoms of the 15-year male and female adolescent: Applications to CT organ dosimetry for patients of variable morphometry

Choonsik Lee; Daniel Lodwick; Jonathan L. Williams; Wesley E. Bolch

Currently, two classes of the computational phantoms have been developed for dosimetry calculation: (1) stylized (or mathematical) and (2) voxel (or tomographic) phantoms describing human anatomy through mathematical surface equations and three-dimensional labeled voxel matrices, respectively. Mathematical surface equations in stylized phantoms provide flexibility in phantom design and alteration, but the resulting anatomical description is, in many cases, not very realistic. Voxel phantoms display far better anatomical realism, but they are limited in terms of their ability to alter organ shape, position, and depth, as well as body posture. A new class of computational phantoms--called hybrid phantoms-takes advantage of the best features of stylized and voxel phantoms-flexibility and anatomical realism, respectively. In the current study, hybrid computational phantoms representing reference 15-year male and female body anatomy and anthropometry are presented. For the male phantom, organ contours were extracted from the University of Florida (UF) 14-year series B male voxel phantom, while for the female phantom, original computed tomography (CT) data from two 14-year female patients were used. Polygon mesh models for the major organs and tissues were reconstructed for nonuniform rational B-spline (NURBS) surface modeling. The resulting NURBS/polygon mesh models representing body contour and internal anatomy were matched to anthropometric data and reference organ mass data provided by the Centers for Disease Control and Prevention (CDC) and the International Commission on Radiation Protection (ICRP), respectively. Finally, two hybrid 15-year male and female phantoms were completed where a total of eight anthropometric data categories were matched to standard values within 4% and organ masses matched to ICRP data within 1% with the exception of total skin. To highlight the flexibility of the hybrid phantoms, 10th and 90th weight percentile 15-year male and female phantoms were further developed from the 50th percentile phantoms through adjustments in the body contour to match the total body masses given in CDC pediatric growth curves. The resulting six NURBS phantoms, male and female phantoms representing their 10th, 50th, and 90th weight percentiles, were used to investigate the influence of body fat distributions on internal organ doses following CT imaging. The phantoms were exposed to multislice chest and abdomen helical CT scans, and in-field organ absorbed doses were calculated. The results demonstrated that the use of traditional stylized phantoms yielded organ dose estimates that deviate from those given by the UF reference hybrid phantoms by up to a factor of 2. The study also showed that use of reference, or 50th percentile, phantoms to assess organ doses in underweight 15-year-old children would not lead to significant organ dose errors (typically less than 10%). However, more significant errors were noted (up to approximately 30%) when reference phantoms are used to represent overweight children in CT imaging dosimetry. These errors are expected to only further increase as one considers CT organ doses in overweight and obese individuals of the adult patient population, thus emphasizing the advantages of patient-sculptable phantom technology.


Health Physics | 2012

Hybrid Computational Phantoms Representing the Reference Adult Male and Adult Female: Construction and Applications for Retrospective Dosimetry

Jorge L. Hurtado; Choonsik Lee; Daniel Lodwick; Timothy Goede; Jonathan L. Williams; Wesley E. Bolch

AbstractCurrently, two classes of computational phantoms have been developed for dosimetry calculation: (1) stylized (or mathematical) and (2) voxel (or tomographic) phantoms describing human anatomy through mathematical surface equations and 3D voxel matrices, respectively. Mathematical surface equations in stylized phantoms are flexible, but the resulting anatomy is not as realistic. Voxel phantoms display far better anatomical realism, but they are limited in terms of their ability to alter organ shape, position, and depth, as well as body posture. A new class of computational phantoms called hybrid phantoms takes advantage of the best features of stylized and voxel phantoms—flexibility and anatomical realism, respectively. In the current study, hybrid computational phantoms representing the adult male and female reference anatomy and anthropometry are presented. These phantoms serve as the starting framework for creating patient or worker sculpted whole-body phantoms for retrospective dose reconstruction. Contours of major organs and tissues were converted or segmented from computed tomography images of a 36-y-old Korean volunteer and a 25-y-old U.S. female patient, respectively, with supplemental high-resolution CT images of the cranium. Polygon mesh models for the major organs and tissues were reconstructed and imported into Rhinoceros™ for non-uniform rational B-spline (NURBS) surface modeling. The resulting NURBS/polygon mesh models representing body contour and internal anatomy were matched to anthropometric data and reference organ mass data provided by Centers for Disease Control and Prevention and International Commission on Radiation Protection, respectively. Finally, two hybrid adult male and female phantoms were completed where a total of eight anthropometric data categories were matched to standard values within 4% and organ volumes matched to ICRP data within 1% with the exception of total skin. The hybrid phantoms were voxelized from the NURBS phantoms at resolutions of 0.158 × 0.158 × 0.158 cm3 and 0.126 × 0.126 × 0.126 cm3 for the male and female, respectively. To highlight the flexibility of the hybrid phantoms, graphical displays are given of (1) underweight and overweight adult male phantoms, (2) a sitting position for the adult female phantom, and (3) extraction and higher-resolution voxelization of the small intestine for localized dosimetry of mucosal and stem cell layers. These phantoms are used to model radioactively contaminated individuals and to then assess time-dependent detector count rate thresholds corresponding to 50, 250, and 500 mSv effective dose, as might be needed during in-field radiological triage by first responders or first receivers.


Medical Physics | 2006

SU-FF-I-41: A Series of 4D Pediatric Hybrid Phantoms Developed From the UF Series B Tomographic Phantoms

Choonsik Lee; Daniel Lodwick; Wesley E. Bolch

Purpose: To develop a series of the pediatric hybrid computational phantoms based on the non‐uniform rational B‐spline (NURBS) technology by converting the existing series of UF pediatric tomographic phantoms. Method and Material: The series of UF tomographic phantoms, newborn female, 9‐month male, 4‐year female, 8‐year female, 11‐year male, 14‐year male, which were developed by the researchers at University of Florida, were employed for this study. The tomographic phantoms were imported to the 3D‐DOCTOR (Able Software Corp., Lexington, MA) segmentation and 3D rendering software, and polygon mesh models representing internal organs and body contour were generated. The polygon mesh models were imported to the Rhinoceros software (McNeel, Seattle, WA) based on NURBS‐technology, and Smooth NURBS surfaces were developed for organ and tissue contours, and the NURBS‐based organ models were generated organ‐by‐organ. The NURBS organ models were integrated into hybrid human phantoms by the Rhinoceros software.Results: A total of 6 hybrid human phantoms were developed from the existing 6 UF tomographic phantoms. The cube‐shaped organ contours in the tomographic phantoms were innovatively smoothed in the resulting hybrid phantoms based on NURBS surfaces. The organ volumes calculated from tomographic and hybrid phantoms were in agreement within 5%. Conclusion: The resulting phantoms are deformable and can thus be used to represent 25th or 75th percentile subjects through the adjustment of control points surrounding each organ and body contour. The NURBS‐based pediatric phantoms developed in this study can be imported into Monte Carlo calculation code, and broadly utilized for dosimetry calculation. The techniques developed in this study will be also applied to the development of NURBS‐based 3D phantoms representing 50th and other percentile adult male and female subjects for use in radiation protection applications, as well as occupational or medical exam dose reconstruction.


Medical Physics | 2007

SU‐FF‐I‐51: Effect of Subcutaneous Fat On Abdominal CT Dosimetry: Monte Carlo Study

Choonsik Lee; Daniel Lodwick; W Bolch

Purpose: To investigate the effect of abdominal subcutaneous fat on organ and effective doses in abdominal computed tomography(CT) examination by using deformable hybrid anthropomorphic phantoms and MCNPX2.5. Methods and Material: A hybrid anthropomorphic computational phantom representing a newborn reference patient was employed in this study to illustrate use of deformable phantoms for patient‐specific dosimetry. The hybrid phantom is currently the most advanced computational phantom incorporating the best features of conventional stylized and voxel phantoms, which include parameter‐based flexibility and improved anatomical realism, respectively. Based on the template phantom of which the abdominal circumference was 36 cm, two more phantoms having abdominal circumferences of 33 and 39 cm were generated by manipulating control points on the abdominal surfaces. Three phantoms were then incorporated into MCNPX2.5 code where helical fan beams from SOMATOM Sensation 16 helical multi‐slice CT scanner were modeled. A CTcollimator setting of 12 mm and a tube potential of 100 kVp, both commonly used in pediatric CT scans, were simulated for illustrative calculations. Absorbed doses for major organ doses were calculated in each of the three newborn phantoms. The normalized organ absorbed doses for a total of 9 major organs were calculated and compared to each other. Results: As waist circumference increases, the thickness of abdominal subcutaneous fat increases correspondingly which causes a decrease in the organ absorbed dose for CT beams, especially, for the small intestinal wall (−5.8%) and kidney (−7.3%). Conclusion: Even though the effect of fat thickness on organ dose was not significant in newborn phantom, higher correlation would be observed in older and larger phantoms. The authors are working on a series of pediatric phantoms so that a more systematic investigation on the effect of abdominal subcutaneous fat on CTdosimetry could be performed in the future.


Radiation Protection Dosimetry | 2007

NURBS-based 3-d anthropomorphic computational phantoms for radiation dosimetry applications

Choonsik Lee; Choonik Lee; Daniel Lodwick; Wesley E. Bolch


Journal of Surgical Research | 2018

Disparities in Radiation Burden from Trauma Evaluation at Pediatric Versus Nonpediatric Institutions

Daniel Lodwick; Jennifer N. Cooper; Dani O. Gonzalez; Amy E. Lawrence; Choonsik Lee; Rajesh Krishnamurthy; Peter C. Minneci; Katherine J. Deans


Archive | 2017

Engaging Stakeholders in Surgical Research: The Design of a Pragmatic Clinical Trial to Study Management of Acute Appendicitis

Peter C. Minneci; Kristine M. Nacion; Daniel Lodwick; Jennifer N. Cooper; Katherine J. Deans; J West


Society of Nuclear Medicine Annual Meeting Abstracts | 2008

Assessment of photon and electron internal organ dose for the University of Florida hybrid computational phantoms of the ICRP 89 reference male and female 1, 5, and 10-year-old

Choonsik Lee; Daniel Lodwick; Wesley E. Bolch

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Choonsik Lee

National Institutes of Health

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Choonik Lee

University of Michigan

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Jennifer N. Cooper

Nationwide Children's Hospital

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Katherine J. Deans

Nationwide Children's Hospital

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Peter C. Minneci

Nationwide Children's Hospital

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