Free-Breathing Three-Dimensional Computed Tomography of the Lung Using Prospective Respiratory Gating: Charge-Coupled Device Camera and Laser Sensor Device in an Animal Experiment

Purpose:The aim was to investigate the feasibility and image quality of prospective respiratory gating for 3-D computed tomography (CT) of the lung. Material and Methods:Eight anesthetized pigs underwent prospectively gated multidetector computed tomography using 2 devices: a charge-coupled device (CCD) camera and a laser sensor. The output signal of both gating devices was connected to the scanner instead of ECG unit. Inspiratory and expiratory images were obtained during “free-breathing” and analyzed in MPR mode for sharpness of bronchi, diaphragm and lung using a 4-point-score (1, excellent to 4, severe artifacts). Results:The CCD camera worked in all animals. Using the laser sensor, only 50% of expiratory scans could be acquired. All acquired images showed excellent sharpness (CCD camera vs. laser sensor) for trachea (1.1 ± 0.3 vs. 1.3 ± 0.5), bronchi (1.4 ± 0.7 vs. 1.8 ± 0.6), lung fissures (1.0 vs. 1.1 ± 0.3), and lung parenchyma (1.0 ± 0.2 vs. 1.4 ± 0.6), and minor to major artifacts for diaphragm (1.5 ± 0.8 vs. 2.0 ± 1.0, P < 0.05) and pericardial lung structures (1.9 ± 0.7 vs. 2.3 ± 0.5). Conclusion:High image quality for inspiratory and expiratory scans was achieved by free-breathing 3-D CT of the lung using noncontact prospective respiratory gating.

[1]  G. Christensen,et al.  A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. , 2003, Medical physics.

[2]  B. Hamm,et al.  Dynamic Computed Tomography of the Neonatal Lung: Volume Calculations and Validation in an Animal Model , 2005, Investigative radiology.

[3]  B Nebiyou Bekele,et al.  Murine Lung Tumor Measurement Using Respiratory-Gated Micro-Computed Tomography , 2005, Investigative radiology.

[4]  Tinsu Pan,et al.  Four-dimensional computed tomography: image formation and clinical protocol. , 2005, Medical physics.

[5]  E. Kazerooni,et al.  Helical CT for the evaluation of acute pulmonary embolism. , 2005, AJR. American journal of roentgenology.

[6]  T. Guerrero,et al.  Acquiring 4D thoracic CT scans using a multislice helical method. , 2004, Physics in medicine and biology.

[7]  R. Castile,et al.  Comparison of quiet breathing and controlled ventilation in the high-resolution CT assessment of airway disease in infants with cystic fibrosis , 2005, Pediatric Radiology.

[8]  Hans-Peter Meinzer,et al.  Evaluation of Lung Volumetry Using Dynamic Three-Dimensional Magnetic Resonance Imaging , 2005, Investigative radiology.

[9]  Jeffrey D Bradley,et al.  Comparison of spirometry and abdominal height as four-dimensional computed tomography metrics in lung. , 2005, Medical physics.

[10]  Vincent Servois,et al.  Lung volume assessment for a cross-comparison of two breathing-adapted techniques in radiotherapy. , 2005, International journal of radiation oncology, biology, physics.

[11]  Sasa Mutic,et al.  Quantitation of the reconstruction quality of a four-dimensional computed tomography process for lung cancer patients. , 2005, Medical physics.

[12]  A. Iliff,et al.  Pulse rate, respiratory rate, and body temperature of children between two months and eighteen years of age. , 1952, Child development.

[13]  F. Bonnel,et al.  Thoracic helical CT: influence of subsecond scan time and thin collimation on evaluation of peripheral pulmonary arteries , 2000, European Radiology.

[14]  T. Pan,et al.  4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT. , 2004, Medical physics.

[15]  D M Hansell,et al.  Small airways diseases: detection and insights with computed tomography. , 2001, The European respiratory journal.

[16]  Eric C Ford,et al.  Reduction of organ motion in lung tumors with respiratory gating. , 2006, Lung cancer.

[17]  R. Mohan,et al.  Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. , 2003, Physics in medicine and biology.