Development of mobile intraoperative computed tomography imaging system and assessment of its performance in a brain and body phantom study

Abstract

BACKGROUND:

Intraoperative computed tomography (iCT) system has been developed focusing on combining the advanced imaging techniques for the best imaging modality. However, the use of iCT system in the operating rooms is limited due to the lack of flexible mobility.

OBJECTIVE:

This study aims to develop a mobile iCT imaging system and assess its imaging performance in a phantom study.

METHODS:

The mobile iCT system with mecanum omni-directional wheels has three major components namely, a rotating gantry, a slip-ring and a stationary gantry. Performance of mecanum iCT system was evaluated using the indices of signal-to-noise (SNR), contrast-to noise (CNR), and spatial resolution (MTF). Anatomical landmarks on phantom images were assessed using a 5-point scale (5 = definitely seen; 4 = probably seen; 3 = equivocal; 2 = probably not seen; and 1 = definitely not seen).

RESULTS:

The mecanum iCT system can be conveniently used for a whole-body scan under intraoperative conditions even in narrow operating rooms due to a smaller turning radius. The image quality of the mecanum iCT system was found to be acceptable for clinical applications (with SNR = 162.72, CNR = 134.29 and MTF = 694 μm). The diagnostic scores on the phantom images were ‘definitely seen’ value.

CONCLUSIONS:

The proposed mecanum iCT system achieved the improved flexible mobility and has potential to better serve as a useful imaging tool in the clinical intraoperative setting.

Keywords

Intraoperative computed tomography (iCT) system brain body operating room mobile CT

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References

Adăscăliţei

and Doroftei,

Practical applications for mobile robots based on mecanum wheels - a systematic survey, The Romanian Review Precision Mechanics, Optics & Mechatronics 40 (2011), 21–29.

Centre for Evidence-based Purchasing (CEP), Comparative specifications wide bore CT scanners. CEP08029. Department of Health, London, (2009).

Cho

H.S.

Jeong

M.H.

Han

B.S.

, et al., Development of a portable digital radiographic system based on FOP-coupled CMOS image sensor and its performance evaluation, IEEE Trans Nucl Sci 52 (2005), 1766–1772.

De Boo

D.W.

Weber

, Deurloo,

E.E.

, et al., Computed radiography versus mobile direct radiography for bedside chest radiographs: Impact of dose on image quality and reader agreement, Clin Radiol 66 (2011), 826–832.

Eggers

Kress

and Muhling

, Automated registration of intraoperative CT image data for navigated skull base surgery, Minim Invasive Neurosurg 51 (2008), 15–20.

Eggers

Kress

Rohde

and Muhling

, Intraoperative computed tomography and automated registration for image-guided cranial surgery, Dentomaxillofac Radiol 38 (2009), 28–33.

Jailin

Buffiere

J.Y.

Hild

Poncelet

and Roux

, On the use of flat-fields for tomographic reconstruction, J Synchrotron Radiat 24 (2017), 220–231.

Kim

T.H.

Heo

D.W.

Jeong

C.W.

, et al., Development of portable digital radiography system with a device for monitoring X-ray source-detector angle and its application in chest imaging, Sensors 17 (2017).

Lança

and Silva

, Digital radiography detectors – A technical overview: Part 1, Radiography 15 (2009), 58–62.

10.

Lenski

Hofereiter

Terpolilli

, et al., Dual-room CT with a sliding gantry for intraoperative imaging: Feasibility and workflow analysis of an interdisciplinary concept, Int J Comput Assist Radiol Surg (2018).

11.

Liguori

Frauenfelder

Massaroni

, et al., Emerging clinical applications of computed tomography, Med Devices 8 (2015), 265–278.

12.

C.Y.

Chen

X.L.

Chen

X.L.

, et al., Clinical application of 3.0 T intraoperative magnetic resonance combined with multimodal neuronavigation in resection of cerebral eloquent area glioma, Medicine 97 (2018), e11702.

13.

Marbacher

Mendelowitsch

Gruter

B.E.

, et al., Comparison of 3D intraoperative digital subtraction angiography and intraoperative indocyanine green video angiography during intracranial aneurysm surgery, J Neurosurg (2018), 1–8.

14.

Masaryk

Kolonick

Painter

and Weinreb

D.B.

, The economic and clinical benefits of portable head/neck CT imaging in the intensive care unit, Radiol Manage 30 (2008), 50–54.

15.

Nimsky

and Carl

, Historical, current, and future intraoperative imaging modalities, Neurosurg Clin N Am 28 (2017), 453–464.

16.

RSNA, Radlex: Image quality. Available at: http://www.radlex.org/RID/RID10 [accessed 03.05.2019].

17.

Ryu

J.H.

Kim

T.H.

Jeong

C.W.

, et al., Dedicated mobile volumetric cone-beam computed tomography for human brain imaging: A phantom study, J Xray Sci Technol 23 (2015), 473–480.

18.

Teuffenbach

M.V.

Koehler

Fehringer

, et al., Grating-based phase-contrast and dark-field computed tomography: A single-shot method, Sci Rep 7 (2017), 7476.

19.

Uhl

Zausinger

Morhard

, et al., Intraoperative computed tomography with integrated navigation system in a multidisciplinary operating suite, Neurosurgery 64 (2009), 231–239; discussion 239–240.