Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization

Purpose To improve the performance for localizing epileptic foci, we have developed a joint ictal/inter‐ictal SPECT reconstruction method in which ictal and inter‐ictal SPECT projections are simultaneously reconstructed to obtain the differential image. Methods We have developed a SPECT reconstruction method that jointly reconstructs ictal and inter‐ictal SPECT projection data. We performed both phantom and patient studies to evaluate the performance of our joint method for epileptic foci localization as compared with the conventional subtraction method in which the differential image is obtained by subtracting the inter‐ictal image from the co‐registered ictal image. Two low‐noise SPECT projection datasets were acquired using 99mTc and a Hoffman head phantom at two different positions and orientations. At one of the two phantom locations, a low‐noise dataset was also acquired using a 99mTc‐filled 3.3‐cm sphere with a cold attenuation background identical to the Hoffman phantom. These three datasets were combined and scaled to mimic low‐noise clinical ictal (three different lesion‐to‐background contrast levels: 1.25, 1.55, and 1.70) and inter‐ictal scans. For each low‐noise dataset, 25 noise realizations were generated by adding Poisson noise to the projections. The mean and standard deviation (SD) of lesion contrast in the differential images were computed using both the conventional subtraction and our joint methods. We also applied both methods to the 35 epileptic patient datasets. Each differential image was presented to two nuclear medicine physicians to localize a lesion and specify a confidence level. The readers’ data were analyzed to obtain the localized‐response receiver operating characteristic (LROC) curves for both the subtraction and joint methods. Results For the phantom study, the difference between the mean lesion contrast in the differential images obtained using the conventional subtraction versus our joint method decreases as the iteration number increases. Compared with the conventional subtraction approach, the SD reduction of lesion contrast at the 10th iteration using our joint method ranges from 54.7% to 68.2% (P < 0.0005), and 33.8% to 47.9% (P < 0.05) for 2 and 4 million total inter‐ictal counts, respectively. In the patient study, our joint method increases the area under LROC from 0.24 to 0.34 and from 0.15 to 0.20 for the first and second reader, respectively. We have demonstrated improved performance of our method as compared to the standard subtraction method currently used in clinical practice. Conclusion The proposed joint ictal/inter‐ictal reconstruction method yields better performance for epileptic foci localization than the conventional subtraction method.

[1]  C. Rowe,et al.  Visual and quantitative analysis of interictal SPECT with technetium-99m-HMPAO in temporal lobe epilepsy. , 1991, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[2]  Jinsong Ouyang,et al.  Fast Monte Carlo based joint iterative reconstruction for simultaneous Tc99m∕I123 SPECT imaging. , 2007, Medical physics.

[3]  I G Zubal,et al.  Sensitivity and specificity of quantitative difference SPECT analysis in seizure localization. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  Guy B. Williams,et al.  Attenuation Correction Methods Suitable for Brain Imaging with a PET/MRI Scanner: A Comparison of Tissue Atlas and Template Attenuation Map Approaches , 2011, The Journal of Nuclear Medicine.

[5]  Hans Herzog,et al.  Template-based attenuation correction of PET in hybrid MR-PET scanners , 2008 .

[6]  C. Jack,et al.  Subtraction ictal SPECT co‐registered to MRI improves clinical usefulness of SPECT in localizing the surgical seizure focus , 1998, Neurology.

[7]  Andrea Bergmann,et al.  Statistical Parametric Mapping The Analysis Of Functional Brain Images , 2016 .

[8]  Eileen O. Smith,et al.  Difference images calculated from ictal and interictal technetium-99m-HMPAO SPECT scans of epilepsy. , 1995, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[9]  R. Leroy,et al.  Single photon emission computed tomography in epilepsy. , 1990, Seminars in nuclear medicine.

[10]  Andersen Ar,et al.  99mTc-D,L-hexamethylene-propyleneamine oxime (99mTc-HMPAO): basic kinetic studies of a tracer of cerebral blood flow. , 1989 .

[11]  S. Ourselin,et al.  Brain imaging in the assessment for epilepsy surgery , 2016, The Lancet Neurology.

[12]  D. Blum,et al.  Epilepsy surgery: Chance for a cure , 2001, Current neurology and neuroscience reports.

[13]  B. Holman,et al.  Metabolism of 99mTc-l,l-Ethyl cysteinate dimer in healthy volunteers , 1991, Neuropharmacology.

[14]  G. Cascino,et al.  Surgical treatment for epilepsy , 2004, Epilepsy Research.

[15]  R. Swensson Unified measurement of observer performance in detecting and localizing target objects on images. , 1996, Medical physics.

[16]  J. Ouyang,et al.  Simultaneous 99mTc-MDP/123I-MIBG tumor imaging using SPECT-CT: phantom and constructed patient studies. , 2013, Medical physics.

[17]  J. Ouyang,et al.  Quantitative simultaneous 99mTc/123I cardiac SPECT using MC-JOSEM. , 2009, Medical physics.

[18]  Jinsong Ouyang,et al.  Fast Monte Carlo based joint iterative reconstruction for simultaneous 99mTc/ 123I SPECT imaging. , 2007, Medical physics.

[19]  R. Walovitch,et al.  Studies of the retention mechanism of the brain perfusion imaging agent ^ Tc-bicisate (^ Tc-ECD) , 1994 .

[20]  John S. Duncan,et al.  Imaging in the surgical treatment of epilepsy , 2010, Nature Reviews Neurology.

[21]  Javier Pavía,et al.  Characterisation of fan-beam collimators , 2001, European Journal of Nuclear Medicine.

[22]  Kevin D Frick,et al.  Economic impact of epilepsy in the United States , 2009, Epilepsia.

[23]  Michael R Sperling,et al.  ILAE Commission on the Burden of Epilepsy, Subcommission on the Economic Burden of Epilepsy: Final Report 1998–2001 , 2002, Epilepsia.