The aim of this study was to analyze the reason for variation of image quality in the upper abdomen CT with the use of CT-AEC. The CT investigated was 3D modulation in the 16MDCT and LSCT phantom was used to simulate the patient. When there was a phase difference, an image noise increase of around 15% at the maximum was accepted. It is concluded that the major reason for variation in image quality is respiratory motion and the importance of respiration control must be recognized.
For convenience of outpatients, mammographies of outpatients are often taken after the injection of a radionuclide. In this study, we investigated the effects of gamma rays emitted by a patient onto imaging plates (IPs). We used a flat container filled with 99mTc solution as a planar source to irradiate gamma rays onto IPs. We changed irradiation times on each IP, and took radiographies of an ACR-specified 156 model phantom and AGH-D210F phantom. We evaluated radiography images, using visual evaluation, and profile curves, histograms, and CNR and RMS granularities analyses. The results indicated that the depiction ability of a fibrous part began to fall when the irradiation time exceeded 3 minutes. With an increase in irradiation time, an increase in pixel value and RMS granularity value and a decrease in CNR value were observed. In conclusion, IP exposed by gamma rays influenced the evaluation of phantom images.
Generally, the Chang method depends on counts for the attenuation correction (AC) method in brain perfusion single-photon emission computed tomography (SPECT), because the head outlined for a uniform attenuation coefficient map is set to the sinogram of the projection data by the threshold (Sinogram Threshold Chang method). Magnetic resonance imaging (MRI) is a routine examination in our hospital. Patients who underwent N-isopropyl-p-[123I] iodoamphetamine (123I-IMP) SPECT are undergoing MRI. Therefore, we thought it help AC accuracy to set an accurate head outline by using the image. We jointly made “Software for an attenuation coefficient map using MRI” for trial purposes. This paper investigated whether the AC method using MRI promotes the accuracy of brain perfusion SPECT in some clinical samples. With AC methods using gamma ray transmission computed tomography (TCT) or X-ray CT (CT) also being taken into account, the AC method using MRI was compared with the Sinogram Threshold Chang method. As a result, count dependency was excluded by an accurate head outline setting that used MRI, and the AC method using MRI approached the effect of the AC method using TCT and CT more than the Sinogram Threshold Chang method. Therefore, it is suggested that the AC method using MRI is useful for the accuracy of brain perfusion SPECT.
HIS (hospital information system) and PACS (picture archiving and communication system) have become widely popular in clinical offices, and use of RIS (radiology information system) in the department of radiology has spread, creating networking between HIS, PACS, and diagnostic systems. RIS receives patient data and order data from HIS and sends them to the diagnostic systems. On the other hand, the RIS sends the implementation record and accounting data to HIS. When receiving and transmitting of these data are done by the RIS, the event’s time is recorded in the RIS as attendant data. This paper proposes a way to analyze patient flow from the records of the event’s time. The method counts the number of the accepted examinations yi (i = 0, 1, … N) and the completed examinations zi every divided time ⊿t from the RIS work list, and computes the following three characteristic values related to patient flow. Those values are average expended time T; T = ( Σ zi ･ i ･ ⊿t — Σ yi ･ i ･ ⊿t ) / Σ yi ,number of exam queue qi; qi = Σ yi — Σ zi , and dissolved time of queue wi; wi = qi ･ ( ⊿t / zi ). The method analyzes patient flow of radiology using these characteristic values. It also performs a simulation of the flow in cases of equipment trouble.
We evaluated an appropriate region of interest (ROI) size for the measurement of full width at half maximum (FWHM) in the bead method (0.1 mm and 0.5 mm diameter; lead) and the microdisk method (0.05 mm thickness and 1.0 mm diameter; tungsten) using multislice computed tomography (CT). The FWHM of preset slice thicknesses 0.625 mm, 1.25 mm, 5.0 mm and 7.5 mm were measured by varying helical pitch, location of measurement [center and off-center of scan field of view (SFOV)] and ROI size, and they were compared with the tolerance stated in the Japanese Industrial Standards (JIS). It was conlcuded that the appropriate ROI size was influenced by preset slice thickness in this study. At the center of SFOV, measurements of FWHM were enabled within the tolerance of the JIS with small variations in all preset slice thicknesses if the ROI sizes were set between 0.4 times and equal to the size of the bead or microdisk indicating the maximum CT value in the series of CT images. At the off-center of SFOV, the tendency of increasing FWHM was confirmed, but it was shown that variations of the off-center in thicker slice thickness were larger regardless of helical pitch when the orbital synchronized helical scan technique was not used.
Kim introduced the geometric weighting factor concept into the field mapping method, and estimated collimator scatter factors of rectangular fields by correcting collimator exchange effects. The source plane is present at a specific position in the field mapping method, and, accordingly, the geometric weighting factor is constant. In this study, we changed the position of the source plane based on the measurement results, and we estimated the collimator factors of rectangular fields using the field mapping method. A geometric weighting factor at which the measured collimator scatter factors optimally fitted a square collimator scatter factor was calculated in each field. Collimator scatter factors can be accurately calculated recursively by changing the geometric weighting factor, resulting in altering the position of the source plane, as in this method.