نوع مقاله : مقاله کامل پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی برق ، دانشکده مهندسی برق، دانشگاه صنعتی شریف، تهران

2 استادیار ، دانشکده مهندسی برق، دانشگاه صنعتی شریف، تهران

چکیده

در این مقاله، الگوریتمی جدید بر‌مبنای حسگری فشرده برای بازسازی تصویر در سیستم تصویربرداری مقطع­نگاری کامپیوتری  (CT) ارائه شده است.  هدف اصلی، کاهش زمان اسکن در تصویربرداری CT و بنابراین دوز اشعة تابشی، بدون کاهش کیفیت تصویر است. برای بهبود کیفیت تصویر بازسازی شده توسط تعداد نمونه­های کم دریافتی، تابع هزینة جدیدی شامل ترکیب بهینه‌ای از ضرایب تبدیل موجک و ضرایب تبدیل کسینوسی و واریانس مجموع، ارائه شده است. کیفیت تصاویر به‌دست‌آمده با تصاویر حاصل از تکنیک‌های پیشین حسگری فشرده، بر‌اساس معیارهای متوسط مربعات خطا (MSE)، بیشینه نسبت سیگنال به نویز (PSNR) و تشابه ساختار (SSIM)، به‌صورت کمی مقایسه شده است. نتایج، نشان‌دهندة آن است که روش پیشنهادی قادر به تولید تصاویر با کیفیت بالاتر و حفظ بهتر لبه، در عین کاهش مصنوعات تصویر با استفاده از تعداد زوایای دید محدود، است. این نتایج، بهبود قابل ملاحظه­ای نسبت به نتایج الگوریتم‌های فشرده‌سازی پیشین از دیدگاه کیفیت تصویر بازسازی‌شده دارند.
 

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Improved Image Quality in Reduced Radiation Computerized Tomography Using Compressed-Sensing and DWT and DCT Coefficients

نویسندگان [English]

  • Hassan Abbasi 1
  • zahra kavehvash 2

1 Ph.D Student, Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

2 Assistant Professor, Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

چکیده [English]

A novel computerized tomographic (CT) imaging structure based on the theory of compressed sensing (CS) is proposed. The main goal is to mitigate the CT imaging time and thus x-ray radiation dosage without compromising the image quality. In this study, we propose to use a novel dictionary in compressed sensing algorithm. Our dictionary is an optimal combination of Wavelet Transform (WT), Discrete Cosine Transform (DCT), and Total Variation (TV) transform. We utilize three quality assessment metrics including mean square error (MSE), peak signal to noise ratio (PSNR) and structural similarity (SSIM) indices to quantitatively evaluate the reconstructed images. The results show that the proposed method can generate high quality images with less artifacts while preserving edges when fewer number of view angles are used for reconstruction in a CT imaging system. This is in comparison with those results obtained from other reconstruction algorithms in view of the reconstructed image quality. 

کلیدواژه‌ها [English]

  • Computerized Tomography
  • Compressed Sensing
  • Total Variation
  • Wavelet transform
  • Cosine Transform
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