Micro CT based truth estimation of nodule volume

With the advent of high-resolution CT, three-dimensional (3D) methods for nodule volumetry have been introduced, with the hope that such methods will be more accurate and consistent than currently used planar measures of size. However, the error associated with volume estimation methods still needs to be quantified. Volume estimation error is multi-faceted in the sense that there is variability associated with the patient, the software tool and the CT system. A primary goal of our current research efforts is to quantify the various sources of measurement error and, when possible, minimize their effects. In order to assess the bias of an estimate, the actual value, or "truth," must be known. In this work we investigate the reliability of micro CT to determine the "true" volume of synthetic nodules. The advantage of micro CT over other truthing methods is that it can provide both absolute volume and shape information in a single measurement. In the current study we compare micro CT volume truth to weight-density truth for spherical, elliptical, spiculated and lobulated nodules with diameters from 5 to 40 mm, and densities of -630 and +100 HU. The percent differences between micro CT and weight-density volume for -630 HU nodules range from [-21.7%, -0.6%] (mean= -11.9%) and the differences for +100 HU nodules range from [-0.9%, 3.0%] (mean=1.7%).

[1]  Henry Rusinek,et al.  Volumetric analysis of lung nodules using a hybrid algorithm , 2004, SPIE Medical Imaging.

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

[3]  Anup Basu,et al.  Measuring and evaluating ground truth for boundary detection in medical images , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

[5]  Kyle J. Myers,et al.  A template-based approach for the analysis of lung nodules in a volumetric CT phantom study , 2009, Medical Imaging.

[6]  Geoffrey McLennan,et al.  PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error. , 2009, Translational oncology.

[7]  Binsheng Zhao,et al.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. , 2000, Radiology.

[8]  K. Marten,et al.  Flat Panel Detector-Based Volumetric CT: Prototype Evaluation with Volumetry of Small Artificial Nodules in a Pulmonary Phantom , 2004, Journal of thoracic imaging.

[9]  J. Goo,et al.  Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy. , 2005, Radiology.

[10]  R. Reznek,et al.  CT assessment of tumour response to treatment: comparison of linear, cross-sectional and volumetric measures of tumour size. , 2000, The British journal of radiology.

[11]  Daniel P Barboriak,et al.  Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources. , 2009, Translational oncology.

[12]  Geoffrey McLennan,et al.  Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error. , 2009, Translational oncology.

[13]  Silvia Obenauer,et al.  Flat Panel Detector-Based Volumetric Computed Tomography (fpVCT): Performance Evaluation of Volumetric Methods by Using Different Phantoms in Comparison to 64-Multislice Computed Tomography , 2007, Investigative radiology.