A simulation study to evaluate the statistical noise and spatial resolution in image reconstruction of emission computed tomography - With respect to the optimization of the filter function in the convolution integral.

Iida, Hidehiro; Sasaki, Hidekatsu; Inoue, Hiroshi; Kanno, Iwao; Miura, Shuichi; Okuyama, Daitaro; Uemura, Kazunori

doi:10.3769/radioisotopes.35.11_589

Cited by 4 publications

(2 citation statements)

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“…To facilitate radiation dose reduction, researchers in studies have evaluated several techniques, including noise reduction filters, which improve image noise on low-dose CT images (3)(4)(5)(6)(7)(8)(9). We developed a postprocessing nonlinear threedimensional (3D) optimized reconstruction algorithm (ORA) that can be used to improve image quality.…”

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confidence: 99%

CT Images of Abdomen and Pelvis: Effect of Nonlinear Three-dimensional Optimized Reconstruction Algorithm on Image Quality and Lesion Characteristics

Rizzo¹,

Kalra²,

Schmidt³

et al. 2005

Radiology

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The purpose of this study was to retrospectively assess the effect of a postprocessing nonlinear three-dimensional optimized reconstruction algorithm on image quality and lesion characteristics in abdominal and pelvic computed tomographic (CT) images. Institutional review board approved the HIPAA-compliant study protocol; informed consent was waived. Abdominal and pelvic CT images (40 patients; male-female ratio, 20:20; age range, 28-86 years) at 5-mm (n = 20) and 2-mm (n = 20) section thicknesses were postprocessed with the algorithm at three noise reduction levels. Image noise at the level of porta hepatis and acetabulum was evaluated with a five-point scale (1, no or minimal noise; 5, unacceptable noise), and presence and number of lesions and conspicuity were assessed. Statistical analysis was performed (Wilcoxon signed rank test, analysis of variance). Significant noise reduction was noted at all three levels with the algorithm (P < .05). Reduction in image contrast was noted with only one noise reduction level (P < .0001). The algorithm improves image noise without affecting lesion conspicuity and detection on low-dose abdominal and pelvic CT images.

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confidence: 99%

CT Images of Abdomen and Pelvis: Effect of Nonlinear Three-dimensional Optimized Reconstruction Algorithm on Image Quality and Lesion Characteristics

Rizzo¹,

Kalra²,

Schmidt³

et al. 2005

Radiology

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“…Efforts by Hasegawa and colleagues in the late 1980s paved the way for combined SPECT/CT (in 1996) and PET/CT (in 1998) platforms for human imaging that generally facilitated sequential data acquisitions with high spatial correspondence of the multimodality data (Townsend, 2008). Simultaneous PET/MRI is now possible in humans (Catana et al, 2008;Herzog et al, 2011;Schlemmer et al, 2008) after an extensive technical development period that includes early study of magnetic field effects on positron range (Christensen et al, 1995;Iida et al, 1986) and subsequent development of a preclinical simultaneous PET/MR scanner by Cherry and colleagues (Townsend, 2008, for review). In the preclinical animal imaging arena, multimodality molecular imaging has been widely applied with dual and triple modality options (i.e., PET/MR, PET/SPECT/CT, or SPECT/CT/optical) possible or under development (Goorden and Beekman, 2010;Stout and Zaidi, 2009;Wehrl et al, 2009).…”

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confidence: 99%

Molecular Brain Imaging in the Multimodality Era

Price

2012

J Cereb Blood Flow Metab

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Multimodality molecular brain imaging encompasses in vivo visualization, evaluation, and measurement of cellular/molecular processes. Instrumentation and software developments over the past 30 years have fueled advancements in multimodality imaging platforms that enable acquisition of multiple complementary imaging outcomes by either combined sequential or simultaneous acquisition. This article provides a general overview of multimodality neuroimaging in the context of positron emission tomography as a molecular imaging tool and magnetic resonance imaging as a structural and functional imaging tool. Several image examples are provided and general challenges are discussed to exemplify complementary features of the modalities, as well as important strengths and weaknesses of combined assessments. Alzheimer's disease is highlighted, as this clinical area has been strongly impacted by multimodality neuroimaging findings that have improved understanding of the natural history of disease progression, early disease detection, and informed therapy evaluation.

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Low-Dose CT of the Abdomen: Evaluation of Image Improvement with Use of Noise Reduction Filters—Pilot Study

Kalra¹,

Maher²,

Sahani³

et al. 2003

Radiology

146

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A prospective assessment of improvement in image quality at low-radiation-dose computed tomography (CT) of the abdomen by using noise reduction filters was performed. CT images acquired at standard and 50% reduced tube current were processed with six noise reduction filters and evaluated by three radiologists for image noise, sharpness, contrast, and overall image quality in terms of abdominal organ depiction. Quantitative image noise and contrast-to-noise ratio were measured. Baseline low-dose CT images were significantly worse than standard-dose CT images (P <.05). A statistically significant reduction of noise in low-dose images processed with three filters was noted. In conclusion, use of noise reduction filters decreased image noise at low-dose CT.

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A simulation study to evaluate the statistical noise and spatial resolution in image reconstruction of emission computed tomography - With respect to the optimization of the filter function in the convolution integral.

Cited by 4 publications

References 0 publications

CT Images of Abdomen and Pelvis: Effect of Nonlinear Three-dimensional Optimized Reconstruction Algorithm on Image Quality and Lesion Characteristics

CT Images of Abdomen and Pelvis: Effect of Nonlinear Three-dimensional Optimized Reconstruction Algorithm on Image Quality and Lesion Characteristics

Molecular Brain Imaging in the Multimodality Era

Low-Dose CT of the Abdomen: Evaluation of Image Improvement with Use of Noise Reduction Filters—Pilot Study

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