Suppression of high-density artefacts in x-ray CT images using temporal digital subtraction with application to cryotherapy.
Image guidance in cryotherapy is usually performed using ultrasound. Although not currently in routine clinical use, x-ray CT imaging is an alternative means of guidance that can display the full 3D structure of the iceball, including frozen and unfrozen regions. However, the quality of x-ray CT images is compromised by the presence of high-density streak artefacts. To suppress these artefacts we applied temporal digital subtraction (TDS). This TDS method has the added advantage of improving the grey scale contrast between frozen and unfrozen tissue in the CT images. Two sets of CT images were taken of a phantom material, cryoprobes and a urethral warmer (UW) before and during the cryoprobe freeze cycle. The high density artefacts persisted in both image sets. TDS was performed on these two image sets using the corresponding mask image of unfrozen material and the same geometrical configuration of the cryoprobes and the UW. The resultant difference image had a significantly reduced artefact content. Thus TDS can be used to significantly suppress or eliminate high-density CT streak artefacts without reducing the metallic content of the cryoprobes. In vivo study needs to be conducted to establish the utility of this TDS procedure for CT assisted prostate or liver cryotherapy. Applying TDS in x-ray CT guided cryotherapy will facilitate estimation of the number and location of all frozen and unfrozen regions, potentially making cryotherapy safer and less operator dependent.
Baissalov
R
R
Department of Medical Physics, Tom Baker Cancer Center, Calgary, Canada.
Sandison
G A
GA
Donnelly
B J
BJ
Saliken
J C
JC
McKinnon
J G
JG
Muldrew
K
K
Rewcastle
J C
JC
D055592:Biophysical Phenomena; D001703:Biophysics; D017679:Cryotherapy / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed / Q000379:methods* / Q000706:statistics & numerical data