• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.31-39
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• 2004

The ARM7 TDMI microprocessor employ a software routine iteration method in order to handle integer division operation, but this method has long execution time and many execution instruction. In this paper, we proposed ARM7 TDMI microprocessor with integer division instruction. To make this, we additionally defined UDIV instruction for unsigned integer division operation and SDIV instruction for signed integer division operation, and proposed ARM7 TDMI microprocessor data Path to apply division algorithm. Applied division algorithm is nonrestoring division algorithm and additive hardware is reduced using existent ARM data path. To verify the proposed method, we designed proposed method on RTL level using HDL, and conducted logic simulation. we estimated the number of execution cycles and the number of execution instructions as compared proposed method with a software routine iteration method, and compared with other published integer divider from the number of execution cycles and hardware size.

• The Korean Journal of Nuclear Medicine Technology
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• v.19 no.1
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• pp.62-66
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• 2015

Purpose Various database comparison methods(DCM) are used for analyzing functional neuro-imaging. It is possible to statistically evaluate decreased or increased metabolism of abnormal patient's brain by comparing with asymptomatic controls in DCM. And results of DCM are additionally used for easily explaining defect region. The aim of this study was to evaluate usefulness of statistical parametric mapping(SPM) and scenium. Materials and Methods Data of 15 patients($62.02{\pm}15.03year$) underwent $^{18}F-FDG$ brain PET/CT were collected and analyzed. Biograph TruePoint 40 with TrueV, (Siemens) was used as a PET/CT scanner. Scenium(version 4.0) in Syngo.via(version VA30A) and SPM99 were applied for statistical evaluation. Consistency between PET reading and result of DCM were evaluated by 5 nuclear medicine physicians through a questionnaire survey. SUV and SD changes were evaluated by changing iteration, gaussian filter and matrix size in scenium. And average required time for generating result of SPM99 and scenium was compared by 3 medical technologists. Results Consistency from the result of SPM99 and scenium showed 84% and 92.4% compare to PET reading. When iteration 4, FWHM 8 and matrix size 168, SUV and SD were decreased by 0.59%, 8.73%, 4.69%, 20.38% and 0.88%, 8.25% respectively compare to routine parameter(iteration 8, FWHM 2 and matrix size 336) of scenium. Average required time of SPM99 and Scenium took 282 seconds and 116 seconds to generate result. Conclusion Results of SPM99 and Scenium showed high consistency compare to PET reading. Various parameters can be controled by user when using SPM. However, normal database needs to be acquired. And it takes significant amount of time and effort for the first set up. On the other hand, Scenium provides normal database even though modifiable parameters are limited. Therefore, more informations could be provided for brain PET/CT if properly understanding and selecting each DCM.