جستجوی مقالات مرتبط با کلیدواژه "cardiac spect" در نشریات گروه "پزشکی"
جستجوی cardiac spect در مقالات مجلات علمی
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IntroductionIntegration of single photon emission computed tomography (SPECT) and computed tomography (CT) scanners into SPECT/CT hybrid systems permit detection of coronary artery disease in myocardial perfusion imaging (MPI). Misregistration between CT and emission data can produce some errors in uptake value of SPECT images. The aim of this study was evaluate the influence of attenuation correction (AC) versus non-attenuation correction (NC) images and the effect of misregistration on all segments of SPECT images for quantitative and qualitative analysis.Methods99 patients (45 males, 54 females) underwent stress/rest myocardial perfusion imaging (MPI) using 99mTc-MIBI were used in this study. We also utilized cardiac insert and lung insert in cylinder phantom. Phantom studies were performed with and without defect. The misregistration of all patient data was measured and variation in misregistration of our population was recorded. The effect of attenuation correction (AC) and non-attenuation correction (NC) images were also evaluated in both phantom and patient data. The CT images were shifted by ±1, ±2, ±3 pixels along X-, Y- and Z-axis (Left/right, dorsal/ventral, cephalic/caudal) for both phantom and patient studies. Differences between misalignment data and misregistration correction images were also measured. Results displayed with 20 segments polar map analysis and illustration in standard orientations for cardiac tomographic images.ResultsIn the patient population data, 1.5% were perfectly registered, 17% and 73% misaligned under 1 pixel and more than 1 pixel, respectively. AC of SPECT images showed increased uptake value in normal phantom and false positives findings were disappeared versus to NC images. In patient data, statistically significant variation were shown for the most segments before and after AC (P-value<=0.004) and also between AC of SPECT image and misregistration correction images (P-value<=0.048). Along X-axis, in 3 pixel shift in right direction, the percent of relative difference in lateral wall were 11.94% for mid anterolateral. Along Y-axis, the Ventral shift caused -15.9% changes in basal inferolateral and along Z-axis -8.59 % changes in apical anterolateral were also observed in caudal direction when 3 pixel shifts were used.ConclusionThis study showed that CT-based attenuation correction of cardiac images in hybrid SPECT/CT is important to improve image quality. Misalignment in caudal, cephalad, ventral and right direction introduced significant variation even in 1 pixel shift. It is important to apply misregistration correction even in small misalignment routinely in clinical myocardial perfusion imaging.Keywords: Cardiac SPECT, CT, Attenuation correction, Misregistration artifact, Image registration, Myocardial perfusion imaging
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IntroductionMetallic artifacts due to pacemaker/ implantable cardioverter defibrillator (ICD) leads in CT images can produce artifactual uptake in cardiac SPECT/CT images. The aim of this study was to determine the influence of the metallic artifacts due to pacemaker and ICD leads on myocardial SPECT/CT imaging.MethodsThe study included 9 patients who underwent myocardial perfusion imaging (MPI). A cardiac phantom with an inserted solid defect was used. The SPECT images were corrected for attenuation using both artifactual CT and CT corrected using metal artifact reduction (MAR). VOI-based analysis was performed in artifactual regions.ResultsIn phantom studies, mean-of-relative-difference in white-region, between artifact-free attenuation-map without/with MAR were changed from 9.2 and 2.1 to 3.7 and 1.2 for ICD and pacemaker lead, respectively. However, these values for typical patient were 9.7±7.0 and 3.8±2.4 for ICD and pacemaker leads respectively, in white-region. MAR effectively reduces the artifacts in white-regions while this reduction is not significant in black-regions.ConclusionFollowing application of MAR, visual and quantification analyses revealed that while quality of CT images were significantly improved, the improvements in the SPECT/CT images were not as pronounced or significant. Therefore cardiac SPECT images corrected for attenuation using CT in the presence of metallic-leads can be interpreted without correction for metal artefacts.Keywords: Cardiac SPECT, CT, Metal artifact reduction, Virtual sonogram, Pacemaker, ICD
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سابقه و هدفحرکت بیمار طی تصویربرداری اسپکت پرفیوژن میوکارد می تواند باعث بروز آرتیفکت در تصاویر بازسازی شده شود و به نوبه خود می تواند روی تشخیص کلینیکی تاثیر بگذارد. هدف این تحقیق ارائه روشی برای تشخیص و تصحیح حرکت قلب با استفاده از داده های حاصل از سیستم تصویربرداری است.مواد و روش هاکمی سازی حرکت قلب با استفاده از مدل سازی منحنی های چند جمله ای بر بردارهای یک بعدی متناظر با فریم های تصویربرداری در پروفایل مجموع یابی شده انجام شد. برای ارزیابی روش، چشمه های فیزیکی و فانتوم NCAT در اوایل، اواسط و اواخر داده برداری به میزان 1، 2 و3 پیکسل جابه جا شدند. مقادیر پهنای کامل در نصف ارتفاع ماکزیمم (FWHM) و ماکزیمم شمارش موجود در تصویر بازسازی شده چشمه های فیزیکی و هم چنین ماکزیمم شمارش در دیواره عضله میوکارد در نمای 360 درجه برحسب منظر دید از محور قلب، قبل و پس از تصحیح حرکت نسبت به حالت بدون حرکت مقایسه شدند.یافته هابسته به شدت و زمان وقوع حرکت، FWHM چشمه نقطه ای از 56/5 درصد تا 49/37 درصد نسبت به حالت بدون حرکت تغییر کرد در حالی که تغییر نسبی FWHM این چشمه پس از تصحیح حرکت از 8/0 درصد تا 84/1 درصد بوده است. این مقادیر برای ماکزیمم شمارش در تصویر بازسازی شده چشمه نقطه ای از 91/1 درصد تا 33/21 درصد بود که پس از تصحیح حرکت به 13/0 درصد تا 76/0 درصد کاهش یافت. مقادیر اخیر برای چشمه گسترده از 09/1 درصد تا 76/21 درصد بود که پس از تصحیح حرکت به 06/0 درصد تا 45/0 درصد کاهش یافت. هم چنین نتایج نشان داد که توزیع اکتیویته در دیواره عضله میوکارد در تصویر تصحیح شده به مقدار واقعی در تصویر قبل از اعمال حرکت نزدیک است درحالی که این مقدار در تصویر بازسازی شده که در آن، طی تصویربرداری حرکت رخ داده، به طور قابل ملاحظه ای با مقدار واقعی اختلاف دارد.استنتاجبا روش پیشنهادی ما حرکت قلب در تصویربرداری اسپکت، با استفاده از داده های حاصل از سیستم تصویربرداری و به روش مدل سازی منحنی چندجمله ای محاسبه می شود و بدین ترتیب آرتیفکت ناشی از حرکت تصحیح می شود تا از تفسیر اشتباه ناشی از آرتیفکت حرکتی جلوگیری شود.
کلید واژگان: اسپکت قلب, آرتیفکت حرکتی, مدل سازی منحنی چند جمله ای, آشکارسازی حرکتBackground andPurposePatient motion during myocardial perfusion SPECT can produce artifacts in reconstructed images which might affect clinical diagnosis. This paper attempts to present a new approach for the detection and correction of cardiac motion utilizing the data obtained during the imaging process.Materials And MethodsOur method quantifies motion through polynomial curves modeling onto the 1D vectors corresponding to image frames obtained in summed profiles. To evaluate our method, physical sources and NCAT phantom were intentionally moved 1, 2 and 3 pixels at early, mid and late stages of data acquisition. The full width at half maximum (FWHM) values, the maximum count in the reconstructed image of physical sources, and maximum count in the myocardial wall in 360o view from cardiac perspective were compared with motion-free condition before and after motion correction.ResultsDepending on the amount of motion and time of motion occurrence, the FWHM of point source changed from 5.56% to 37.49% compared to the motion-free condition while the relative change of FWHM for these sources changed from 0.8% to 1.84% after correction. The observed changes for maximum count in reconstructed images of point sources were from 1.91% - 21.33% which decreased to 0.13%-0.76% after motion correction. The corresponding changes for extended sources were 1.09%- 21.76% which reduced to 0.06%-0.45% after applying motion correction. In addition, the results showed that the distribution of radioactivity in the cardiac wall for the corrected image are very similar to the real values while the same values in the reconstructed image significantly differed from the original in which motion occurred during imaging.ConclusionOur method detected and corrected cardiac motion during SPECT imaging through curve fitting of a polynomial onto the 1D vector values corresponding to image frames. Therefore, image misinterpretation can be avoided by correcting motion artifacts.Keywords: Cardiac SPECT, motion artifact, polynomial curve modeling, motion detection
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