151 research outputs found
Perfusion CT image of pulmonary thromboembolism: data acquisition using single-detector helical CT scanner
AbstractWe report a case of pulmonary thromboembolism, in which we used conventional single-detector helical CT scanner to obtain dynamic CT data, and the decrease in pulmonary parenchymal perfusion was clearly demonstrated on perfusion CT image
ãã©ããããã«Xç·ãã£ãã¯ã¿ãŒãçšããé¢ç¯åæ æ©èœèšºææ¯æŽã·ã¹ãã ã®éçº
é沢倧åŠå»è¬ä¿å¥ç 究åå»åŠç³»çŸåš,åçš®é¢ç¯ã察象ãšããXç·ç»åæ€æ»ã§ã¯,ãã®ç°¡äŸ¿æ§ãšè¢«æ€è
ãžã®äœäŸµè¥²æ§ã®ããã«,ã»ãšãã©æ£é¢å,åŽé¢åãªã©ã®éæ¢ç»åãæ®åããŠè©äŸ¡ããŠãã.ããã,å€ãã®é¢ç¯çŸæ£ã¯åœè©²é¢ç¯ã®éåæ©èœãé»å®³ãããã,ãã®åæ
æ
å ±ãåŸãããšã極ããŠéèŠã§ãã.æã
ã¯,åç»å¯Ÿå¿ã®ãã©ããããã«Xç·ãã£ãã¯ã¿(FPD)ã·ã¹ãã ãçšããŠ,åçš®é¢ç¯ã®çæéæç³»åXç»åãååŸã,ãããã®åæ
æ©èœãå®éçã«è§£æããæ¹æ³ãéçºããŠãã.ãã®åæ
解æã®çµæãåŸæ¥ã®ç»åæ€æ»æ³ããåŸããã解æçµæãšæ¯èŒã,ãã®æ°ããXç·åæ
æ€æ»æ³ãæ£ãã蚺ææ
å ±ãæäŸã§ãããã©ãããæ€èšŒãã.æ¬ç 究ã§ã¯,ééå£éåã«ãããé¡é¢ç¯åæ
ãšæèå±éåã«ãããæé¢ç¯åæ
ã察象ãšããŠ,MRIã«ããæºåæ
解æã®çµæãšæ¯èŒæ€èšãã.ãã®çµæ,æã
ã®éçºããæ°Xç·åæ
æ€æ»æ³ã¯ç°¡äŸ¿ã«éåæ©èœãè©äŸ¡ã§ããææãªã¹ã¯ãªãŒãã³ã°ç»åæ€æ»æ³ã§ããããšãæãããšãªã£ã.ããšãã°,é¡é¢ç¯ã«ã€ããŠ,ã¯ãªãã¯(é¡é¢ç¯ç°åžžã®äžçš®)ã®çç¶ãæã€å¯Ÿè±¡ã§ã¯,MRIæ€æ»æ³ã§ãã®åæ¹è»¢äœã芳å¯ãããããšãæšæž¬ããŠãã.ãããMRç»åäž,èŠèŠçãªç»åæèŠã§ãäžé¡é ã®å®éçãªåæ
解æçµæã§ã,ç¹ã«ã¯ãªãã¯ã瀺åãããããªå
åã¯èŠãããªãã£ã.ããªãã¡,ããã,é¢ç¯åæ¿ã«æãããªç°åžžãèªããããªããããªè»œåŸ®ãªæ©èœé害ã¯,æã
ãéçºããXç·åæ
æ€æ»æ³ã®æ¹ãæ€åºæ床ã«ãããŠåªããŠããããšã瀺åããã.ç 究課é¡/é åçªå·:16035206, ç 究æé(幎床):2004åºå
žïŒããã©ããããã«Xç·ãã£ãã¯ã¿ãŒãçšããé¢ç¯åæ
æ©èœèšºææ¯æŽã·ã¹ãã ã®éçºãç 究ææå ±åæžã課é¡çªå·16035206ïŒKAKENïŒç§åŠç 究費å©æäºæ¥ããŒã¿ããŒã¹ïŒåœç«æ
å ±åŠç 究æïŒïŒïŒhttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-16035206/)ãå å·¥ããŠäœ
Tc-æšèå»è¬åã®ç°¡äŸ¿ãªè¿ éçŽåºŠè©Šéšæ³ã®éçº
é沢倧å»åŠéšç 究課é¡/é åçªå·:56770537, ç 究æé(幎床):1981åºå
žïŒãTc-æšèå»è¬åã®ç°¡äŸ¿ãªè¿
éçŽåºŠè©Šéšæ³ã®éçºãç 究ææå ±åæžã課é¡çªå·56770537ïŒKAKENïŒç§åŠç 究費å©æäºæ¥ããŒã¿ããŒã¹ïŒåœç«æ
å ±åŠç 究æïŒïŒ ïŒhttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-56770537/ïŒãå å·¥ããŠäœ
ãã©ããããã«Xç·ãã£ãã¯ã¿ãŒãçšããèžéšåŒåžåæ 蚺ææ¯æŽã·ã¹ãã ã®éçº
é沢倧åŠå»è¬ä¿å¥ç 究åå»åŠç³»ãèžéšåŒåžåæ
æ
å ±ã«åºã¥ã蚺ææ¯æŽã·ã¹ãã ã®éçºãã«åããŠ,(1)å±æèºææ°ãšé«ãé¢é£ã瀺ãèºéå
ã®ãã¯ã»ã«å€ã®åŒåžæ§å€åãå®éåããææ³ã®éçºãšãã®èšåºè©äŸ¡,(2)å±æèºè¡æµãšé«ãé¢é£ã瀺ã瞊ééšããã³èºéå
ã®ãã¯ã»ã«å€ã®å¿æåå€åãå®éåããææ³ã®éçº,(3)æ¬æ³ã«ããååŸããæ©èœæ
å ±ãå¹æçã«èšºæããããã®è¡šç€ºã·ã¹ãã ã®éçº,ãè¡ãªã£ã.18幎床ã¯,ç¹ã«(2),(3)ã«ã€ããŠäž»ãšããŠéçºç 究ãå®æœãã.æ£åžžçäŸ7äŸã«ãããèºéå
å±æã®ãã¯ã»ã«å€å€åãš,æ¢ç¥ã®åŸªç°ççãšãæ¯èŒã,æ¬æ³ã«ããèºè¡æµã€ã¡ãŒãžã³ã°ã®å¯èœæ§ãæããã«ãã.å¿å®€ã»å¿æ¿ã»å€§åèåŒã»èºåéèã«çžåœããäœçœ®ã§èšæž¬ãããã¯ã»ã«å€ãš,å¿åšæã«ã¯é«ãçžé¢ãèŠããã.å
šãŠã®æ£åžžçäŸã«ãããŠ,å¿å®€åçž®æã«ã¯,å¿å®€ã®ãã¯ã»ã«å€ã¯æžå°ãã.倧åèåŒã»èºåèã®ãã¯ã»ã«å€ã¯æ¥æ¿ã«å¢å ã,ãã®åŸ,次ã®å¿å®€åçž®æãŸã§ç·©ããã«æžå°ãã.å¿å®€æ¡åŒµæã«ã¯,å¿æ¿ã®ãã¯ã»ã«å€ã¯æ¥æ¿ã«æžå°ã,å¿å®€ã®ãã¯ã»ã«å€ã¯å¢å ãã.å¿æ¿ã®ãã¯ã»ã«å€ã¯æ¬¡ã®æ¡åŒµæãŸã§ç·©ããã«å¢å ãã.èºéå
ã®ãã¯ã»ã«å€ã¯å¿æã«ãšããªãç·©ããã«å€åãã.ããªãã¡,å¯èŠåããããã¯ã»ã«å€ã®å€åã¯,èºééšããèºéæ«æ¢¢ã«æåºãããæ¢ç¥ã®æ£åžžåŸªç°åæ
ãšäžèŽãã.åŒåžåæ
ããã³ç»å蚺æã®ããã«,(1)åç»åã®åçãå¯èœ,(2)ç»åããå®éåãããåæ
æ
å ±ãå¹ççã«è¡šç€º,(3)ãããã詳现ãªåœ¢æ
æ
å ±ãšé¢é£ä»ããŠèŠ³å¯å¯èœ,ãªã©ã®èŠä»¶ãæºããç»å衚瀺ã·ã¹ãã ãéçºãã.以äž,åç»å¯Ÿå¿FPDã«ããèºè¡æµã€ã¡ãŒãžã³ã°ã®å¯èœæ§ã瀺ããã.å幎床ã®ç 究ææã§ãã,å±æèºææ°è©äŸ¡æ³ãšåãã,æ¬æ³ã¯,簡䟿ãã€è¿
éã«æ©èœæ
å ±ãæäŸããæ°ããåæ
ç»å蚺ææ³ãšããŠæåŸ
ã§ãã.ãŸã,埮å°ãªãã¯ã»ã«å€ã®å€åãšããŠ,åç»åäžã«è¡šããèºææ°ããã³èºè¡æµã®ç解ã«ã¯,ãã¬ãŒã éå·®åã«ããå¯èŠåãæçšã§ãã£ã.æ¬ç 究課é¡ã®ææã¯CTãMRIã«ããåæ
æ®åœ±ã«å¿çšããããšãå¯èœã§ãã,èžéšåæ
æ€æ»ã®çºå±ã«å€§ããè²¢ç®ããããšãæåŸ
ããã.ç 究課é¡/é åçªå·:17032004, ç 究æé(幎床):2005 â 2006åºå
žïŒããã©ããããã«Xç·ãã£ãã¯ã¿ãŒãçšããèžéšåŒåžåæ
蚺ææ¯æŽã·ã¹ãã ã®éçºãç 究ææå ±åæžã課é¡çªå·17032004ïŒKAKENïŒç§åŠç 究費å©æäºæ¥ããŒã¿ããŒã¹ïŒåœç«æ
å ±åŠç 究æïŒïŒïŒhttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-17032004/)ãå å·¥ããŠäœ
æç³»åãã£ãžã¿ã«èžéšXç·ç»åã«ããå次å ç»åæ§ææ³ã®éçº
èžéšXç·ç»åã察象ãšããŠ,ã³ã³ãã¥ãŒã¿ç»ååŠçã«ãã£ãŠåŸãããæç³»åã®å·®åç»åãèªåœ±èšºææ¯æŽã®ããã«çšããããšãè©Šã¿ã.ããªãã¡,æ£åžžæ§é éšåãéå»ç»åãšã®å·®ååŠçã«ãã£ãŠæ¶å»ããŠå€åéšåã匷調æç»ã,éå»ç»åãšã®æ¯èŒèªåœ±ã®éã®èŠèœãšããå®éç蚺æãæ¯æŽããããšãããã®ã§ãã.ããã,ç°ãªã£ãæç¹ã«ãããXç·ç»åæ®åœ±æã®åŒåžäœçž,äœäœ,Xç·å
¥å°è§åºŠãªã©ã®éãã¯,æ£åžžæ§é ã®å®å
šãªå·®åæ¶å»ãåççã«å°é£ã«ããŠãã.æ¬ç 究ã§ã¯,èžéšXç·ç»åã«ãããèåŽè骚é°åœ±ãšèºå
èºè¡ç®¡é°åœ±ãåŒå¥ã,æ¯èŒçæ·¡ãé°åœ±ã§ã¯ãããèºè¡ç®¡é°åœ±ãäœçœ®åããã®å¯Ÿè±¡ãšããŠå·®ååŠçãè¡ãããšãè©Šã¿ã.ãããŠ,ãã®å·®åç»åã䜵ããŠåç
§ããããšã«ãã£ãŠ,éå»ç»åãšçŸåšç»åã®æ¯èŒèªåœ±ã®éã«çµæçãªå€åã«å¯Ÿãã蚺æèœãåäžããããšãäžèšã®ããã«ç¢ºèªããã.(1)èºå
èºè¡ç®¡é°åœ±ãäœçœ®åããã®å¯Ÿè±¡ãšããŠå·®ååŠçãè¡ãããšã«ãã£ãŠ,10mmåŸçšåºŠã®å°ããªå€åã匷調ããŠæç»ããããšãå¯èœã§ãã£ã.(2)èªåœ±å®éšã®çµæ,æ¬æ³ã«ããã°sensitivityã¯10%çšåºŠåäžã,false-positiveã¯ã»ãšãã©å€åããªãã£ã.ããã,ç»ååŠçã¢ã«ãŽãªãºã ã«äŸåãããšæãããfalse-positiveã®çºçãäžéšèªãããã.(3)è骚é°åœ±ãªã©åŒ·ãã³ã³ãã©ã¹ãæåã«ããã¢ãŒããã¡ã¯ãã蚺æèœã®åäžã劚ããããšã¯ã»ãšãã©ç¡ãã£ã.(4)AFROC解æã®çµæãªã©ãã,æ¬æ³ã¯èžéšXç·ç»å蚺æãæå¹ã«æ¯æŽããããšãæãããšãªã£ã.To aid radiologists in the diagnosis of screening chest radiographs, a temporal subtraction technique using digital image processing was developed. The accurate image registration of two sequential images enables us to detect even subtle changes in the "difference image" between them. In this study, a new method based on matching "lung markings" is introduced.Twenty-nine pairs of sequential posteroanterior chest radiographs with and without the temporal changes were selected from cases taken with the computed radiography system. Image registration was employed with the local matching of "lung markings" in previous and current radiographs. Observer performance tests with and without indicating the "difference image" between them was carried out by eight radiologists.Observer performance with the temporal subtraction image shows that six of eight observers diagnosed with higher sensitivity (mean, 43.9% to 55.3%) and comparable false positive response. Mean area under the AFROC (Alternative Free-Response Receiver Operating Characteristics) curve also improved from 0.596 to 0.647 showing statistical significance.The subtraction image using this registration technique improves the diagnostic accuracy for subtle temporal changes.ç 究課é¡/é åçªå·:10670834, ç 究æé(幎床):1998-1999åºå
žïŒãæç³»åãã£ãžã¿ã«èžéšXç·ç»åã«ããå次å
ç»åæ§ææ³ã®éçºãç 究ææå ±åæžã課é¡çªå·10670834 (KAKENïŒç§åŠç 究費å©æäºæ¥ããŒã¿ããŒã¹ïŒåœç«æ
å ±åŠç 究æïŒ)ãããæ¬æããŒã¿ã¯èè
çå ±åæžããäœ
Physiologic-functional Radiography (pfRAD): dynamic imaging for physiological and functional diagnostic information
çè
ãã¯ïŒåç»æ®åœ±ã®å¯èœãªïŒžç·ãã©ããããã«ãã£ãã¯ã¿ãçšããŠïŒæ§ã
ãªçççæ
å ±ãæ©èœçæ
å ±ãååŸã§ããã¹ã¯ãªãŒãã³ã°åç»åæ€æ»æ³ãéçºããŠããïŒããšãã°çæéæç³»åã®åŒåžéçšãæ®åããŠïŒæšªéèã®åæ
解æãè¡ã£ãïŒãŸãïŒèºéå±æã®ç»çŽ å€ã®å€åã解æããŠïŒèºææ°ãšèžéšåŸªç°ã®æŠç¥ãè©äŸ¡ããïŒæé¢ç¯ïŒè©é¢ç¯ïŒèé¢ç¯ãªã©åè¢é¢ç¯ç³»ã«ã€ããŠã¯ïŒå±æ²ãšäŒžå±éåäžã®é¢ç¯èŠçŽ ã®åæ
å€åãå®éçã«è§£æããŠïŒãããã®éåæ©èœãè©äŸ¡ããïŒãããã®åç»åæ€æ»æ³ã¯ïŒâ ã³ã³ãã¥ãŒã¿è§£æã«ãã£ãŠè§£åã»çççïŒæ©èœçæ
å ±ãä»å ããäžè¬åææ€æ»ãšããŠã®ïŒžç·åæ
æ©èœç»åæ³ïŒphysiologic-functional radiographyïŒpfRADïŒâ ãšããäœçœ®ã¥ãã§ããïŒæ£è
被æç·éã«ã€ããŠïŒç®èè¡šé¢ç·éã¯ïŒèžéšã§ã¯ 1.9 mGyïŒè¡é¢ç¯ã§ã¯ 5.11 mGy ãšïŒããããåœéåååæ©é¢ïŒIAEAïŒã®æšå¥šããç·éé床ãè¶
ããªãïŒæ¬çš¿ã§ã¯é¢é£ããä»ã®ç ç©¶å ±åã䜵ããŠæŠèª¬ããïŒWe have developed a functional digital radiography system that allows assessment of physiological and functional information of the chest and/or joints using an X-ray flat-panel detector. Sequential chest radiographs are obtained throughout the inspiration and expiration cycle to analyze diaphragmatic movements during chest examination. Ventilation and circulation are analyzed by assessing changes in pixel values in localized areas of the lung. For limb joints, such as the wrist, shoulder, and knee, flexion and extension or rotational movement is assessed using sequential radiographs to analyze movement angles. These imaging techniques and quantitative analyses, referred to as physiologic-functional radiography (pfRAD), provide physiological and functional information. The pfRAD method is promising for screening examinations because of its simplicity and precision. The entrance surface dose for the detector is within the limits recommended by the International Atomic Energy Agency (approximately 1.9 and 5.11 mGy for chest and hip examinations, respectively). Recent relevant studies are reviewed
æç³»åèžéšXç·ç»åã®å·®ååŠçç»åãçšããã³ã³ãã¥ãŒã¿æ¯æŽèšºææ³ã®éçº
ååŸåŠäœ : å士ïŒå»åŠïŒ, åŠäœæäžçªå· : å»åä¹ç¬¬1474å·ïŒåŠäœæäžå¹Žææ¥ïŒå¹³æ11幎2æ17æ¥,åŠäœæäžå¹ŽïŒ199
A computer-aided temporal and dynamic subtraction technique of the liver for detection of small hepatocellular carcinomas on abdominal CT images
é沢倧åŠå€§åŠé¢å»åŠç³»ç 究ç§éåå»çæè¡åŠIt is often difficult for radiologists to identify small hepatocellular carcinomas (HCCs) due to insufficient contrast enhancement. Therefore, we have developed a new computer-aided temporal and dynamic subtraction technique to enhance small HCCs, after automatically selecting images set at the same anatomical position from the present (non-enhanced and arterial-phase CT images) and previous images. The present study was performed with CT images from 14 subjects. First, we used template-matching based on similarities in liver shape between the present (non-enhanced and arterial-phase CT images) and previous arterial-phase CT images at the same position. Temporal subtraction images were then obtained by subtraction of the previous image from the present image taken at the same position of the liver. Dynamic subtraction images were also obtained by subtraction of non-enhanced CT images from arterial-phase CT images taken at the same position of the liver. Twenty-one of 22 nodules (95.5%) with contrast enhancement were visualized in temporal and dynamic subtraction images. Compared with present arterial-phase CT images, increases of 150% and 140% in nodule-to-liver contrast were observed on dynamic and temporal subtraction images, respectively. These subtraction images may be useful as reference images in the detection of small moderately differentiated HCCs. © 2006 IOP Publishing Ltd
- âŠ