Toward quantitative X-ray CT phantoms of metastatic tumors using rapid prototyping technology

We are seeking ground-truth 3D X-ray CT phantoms with gradations of Hounsfield units that are indistinguishable from scans of human subjects. We modified a 3D printer, a ZCorp Spectrum 510, adding an iodine-based contrast agent, and printed physical models using a powder which consists mainly of cellulose and cornstarch. We scanned these 3D models with a Siemens Somatom Definition AS 128-slice CT scanner. By adjusting the level of iodine within the model, we are able to achieve Hounsfield units as high as 1056, mimicking bone, and as low as −450, similar to pulmonary tissue. We demonstrate how to generate grayscale images within a 3D model that can be imaged using a CT scanner. Unlike solid tumor phantoms, these models can accurately mimic lesions with indistinct boundaries similar to metastatic disease. Our intent is to evaluate the accuracy of computer aided diagnosis systems.

[1]  Westgate Road,et al.  A printed image quality test phantom for mammography , 2005 .

[2]  Eliot L Siegel,et al.  RECIST versus volume measurement in medical CT using ellipsoids of known size. , 2010, Optics express.

[3]  M.A. Miller,et al.  Development of anatomically realistic PET and PET/CT phantoms with rapid prototyping technology , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[4]  Kyle J. Myers,et al.  A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom◊ , 2010, Optics express.

[5]  James S Babb,et al.  Renal cyst pseudoenhancement: evaluation with an anthropomorphic body CT phantom. , 2002, Radiology.

[6]  M. Christian,et al.  [New guidelines to evaluate the response to treatment in solid tumors]. , 2000, Bulletin du cancer.

[7]  Ram D. Sriram,et al.  Imaging as a Biomarker: Standards for Change Measurements in Therapy workshop summary. , 2008, Academic radiology.

[8]  Paul A. Williams.  Three dimensional printing : a new process to fabricate prototypes directly from CAD models , 1990 .

[9]  L. Schwartz,et al.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.

[10]  Nicholas Petrick,et al.  Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources. , 2009, Translational oncology.

[11]  Emanuel M. Sachs,et al.  Three-Dimensional Printing: The Physics and Implications of Additive Manufacturing , 1993 .

[12]  Kyle J Myers,et al.  Noncalcified lung nodules: volumetric assessment with thoracic CT. , 2009, Radiology.

[13]  Wesley D. Turner,et al.  Algorithms , Architecture , Validation of an Open Source Toolkit for segmenting CT Lung lesions , 2009 .

[14]  R D Speller,et al.  A novel method for producing x-ray test objects and phantoms. , 2004, Physics in medicine and biology.

[15]  C. Jaffe.  Measures of response: RECIST, WHO, and new alternatives. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.