ISSN 日本核医学技術学会 中国 四国地方会誌 Journal of Chugoku - Shikoku Conference for the Japanese Society of Nuclear Medicine Technology 日本核医学技術学会第 18 回中国 四
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1 ISSN 日本核医学技術学会 中国 四国地方会誌 Journal of Chugoku - Shikoku Conference for the Japanese Society of Nuclear Medicine Technology 日本核医学技術学会第 18 回中国 四国地方会平成 18 年 6 月 10 日 ~11 日サンポートホール高松 第 16 巻 2006
2 1 19 3D-Stereotactic Surface Projections (SSP) 4 ezisversion2.0 Version3.0 8 MRI 13 Fusion 16 DTARG (Dual Table ARG) 19 Patlak plot 22 68Ge- 68 Ga PET 24 RIPET 28 PET 31 35min uptake 33 Adenosine 201 Tl ATP 36 SPECT 99m TcMAA 39 99mTc- GAS/MAA-SPECT /PET-CT VERSUS SPECT Vs. MRI 59 SPECT60 MRI SPECT FDG-PET
3 Versus Together RI 6 10 PET plot PET-CT 6 11 MRI Versus 14 PET MRI Versus Versus Together SNM - 1 -
4 6 23 ( )24 ( ) 6 23 ( ) URLhttp://radtec.med.yamaguchi-u.ac.jp/ ( PC) PC Microsoft PowerPointfor Windows () PC CD-R TEL : (0836) FAX : (0836)
5 19 vivo vitro 400 FAX
6 3D- Stereotactic Surface ProjectionsSSP 1 99mTc-HMPAO ineurostat NDB 3D-SSP 2tZ NDB NDB AD mean S.D. AD NDB NDBoverlappedNDB NDB AD 3 meanndb mean S.D. S.D. NDB Z overlappedndb Z= NDB 99mTc-HMPAO SPECT PHILIPS ROI Fig.3ROI mean PRISM IRIX Odyssey FX S.D. 1 Z mean(x) NDB S.E.E.Ver2 Butterworth Filter 3 Ramp Chang s =0.09/cm NDB n= n=11 overlapped n= n=12 overlapped n=11 Fig.1CF Z mean mean(x) S.D. 1 1 Fig.1 NDB 3 Fig.1AB overlappedndb
7 Fig1NDB Dec/Inc 2 Fig.2 NDB mean map S.D.map mean map NDB NDB 10 S.D.map NDB overlapped NDB Z 3 AD Fig.4a Z mean(x) Fig.4b NDB overlappedndb Z-score map 2 ROI Z 4 mean S.D.Fig.5 Fig.5 AD overlappedndb mean S.D. Fig.6 3 Z overlappedndb Z NDB overlappedndb 10 NDB NDB mean S.D. Z NDB
8 Fig2NDB mean map S.D. map Fig3 ROI mean SD Fig.4a) ROI Z mean(x) b)a) NDB Z - 6 -
9 Fig5 SEEVer2 mean SD Fig6NDB Z - 7 -
10 ezis Version 2.0 ezis Version 3.0 Butterworth Filter 99mTc-ECD Ramp Filter SECT easy Z-score Imaging Chang s (=0.09/cm) System( ezis) ezis Version3.0 Ver CT MRI Statistical Parametric Mapping SPM99 SPM 2 SPM 2 Normal Database NDB ezis NDB 68 Z-score map Fig.1 Z-score map Z-score map ezis Version2.0 Ver.2.0 Ver.3.0 Ver.3.0 Z-score Ver.2.0 Ver.3.0 Z-score map Z-score map Z-score Ver.2.0 Ver.3.0 NDB NDB Z-score 2 Fig.2(a) Z-score 1 Z-score Ver.3.0 SPECT PHILIPS PRISM IRIX NDB 70 NDB Fig.3 (b) Fig.3 (a) Zoom=2.0 NDB NDB 30 Ver.2.0 Ver.3.0 Odyssey FX SPECT Z-score
11 Fig.3(d) Fig.3 (c) Z-score map Fig.4 Z-score map Z-score map Ver.3.0 Ver.2.0 Ver CT MRI Z-score Fig.5Z-score SPECT RI Z-score
12 Z-score (1) NDB Fig.5(a) Z-score NDB Z-score Ver.3.0 Ver.2.0 Ver.3.0 NDB 40 Z-score NDB 59 NDB Ver.2.0 Ver.3.0 Fig.6 (b) Fig.6 (a) NDB NDB NDB Z score = (1) Ver.2.0 Ver.3.0 NDB Fig.6(d) Fig.6 (c) 3 RI Ver RI Ver.2.0 Fig 7(a) Ver.3.0 Ver.2.0 Fig.7(b) Z-score
13 Z-score map
14 Z-score Ver.3.0 ezis Ver.2.0 Ver.3.0 NDB Ver.3.0 Ver.3.0SPM 2 1) ezis SPM2 25: (2005) 2) (2004) 3) SPECT 23(11) (2003)
15 MRI MRI AD VSRAD MRI T1 Voxel-based Specific Regional analysis system for Alzheimer's Disease VSRAD SPM2 Voxel-Based Morphometry AD AD VSRAD MRI 120 Z-scoreeZIS version3.0 min:sec230 RI Z-score MMSEMini VSRAD Mental State Examination SPECT ezisver3.0 AD 22 Z VSRAD MMSE ROI MRI T1WIsagittalSequence D-FSPGR TR / TEmsec22 /1.5 FOV m2620 / gap mm1.5 /0-13 -
16 ezis ezis-viewer MRI SPECT ezis-viewer Z D MRI VSRAD 68 ROI VSRAD 5 MMSE VSRAD Z-score ezis Z-score Fig. VSRAD Z-score ezis Z-score Fig.2 MMSE VSRAD ezis Z-score Fig
17 MRI Fig.2 VSRAD ROI VSRAD SPECT Z- ezis-viewerver3.0) MMSE VSRAD ezis Z-score VSRAD Z-score ezis Z-score VSRAD ezis MMSE VSRAD ezis AD SPECT ROI 1) 125 2) MRI-CLINICIAN2005N NO537 3)
18 Fusion BA(Brain Easy Analysis Tool) T1WIDWIFLAIR Fusion MRIT1WI) T2WI Fusion Fusion T2WI Fusion Fusion BEAT (Fig. 3) (2) MRI DWI FLAIR T1WIT2WI CT 2005/12/01MRI DWI FLAIR FTP MRIcro BEAT Luxury Perfusion Fig. 1 Fusion - 1 M RI Fusion (1) 73 DWIFLAIR PCA Fig (Fig /09/17 (Fig. 4) - 2 CT Fusion (1) 4mm/10mm BEAT Fusion (2) Fusion 72 ML 82 MCA-PCA watershed area LDA LDA (Fig. 5) (Fig. 6)
19 - 3 SPECT M RI FUSION (1) ML 3) Fusion (2) Fusion (Fig. 7) BEAT SPECT MRI Fusion T2WI SPECT CT Fusion MRI SPECT Fusion Fig. 2 BEAT Analyze format Fusion BEAT Fusion SPECT Fig. 3 1) BEAT 2) BEAT Fusion Fig
20 Fig. 5 Fig. 6 Fig
21 DTARGDual Table ARG * ** JA * ** Dual Table ARG DTARG 123 I-IMP 167MBq 20 QSPECT 123I-IMP 1 rest iamox 1) SEEJET DTARG CBF 2) EC-IC bypass (Fig. 1) EC-ICbypass DTARG DTARG E.CAM6464 issp SEEJET CBF diamox CBF (Fig. 2) Fig
22 Fig. 2 Fig. 4 Fig. 3 Fig. 5 SEEJET Fig. 5 8 SEEJET Stage Stage2 lateral DTARG (Fig. 3) 6 2 diamox DTARG CBF (Fig. 4) 6 Stage1 2 Stage2 SPECT Lt STA-MCA 3 1) SEEJET Stage2 SPECT
23 , (2005) 2) Mizumura S, Nakagawara J, Takahashi M, Kumita S, Cho K, Nakajo H, Toba M, Kumazaki T. Three-Dimensional Display in Staging of Hemodynamic Brain Ischemia for JET study: Objective Evaluation Using SEE Analysis and 3D-SSP DisplayAnn Nucl Med 18: 13-21, (2004)
24 Patlak Plot SPECT BPI Patlak Plot BPI LEHRLEGPMEGP BPI % Fig 1 BPI LEGP LEHR 10 E-CAM MEGP Fig 2 LEHRLEGPMEGP matrix 1sec 100frames Brain ECT 40pixel Aorta Aorta 10ml Fig 3 99mTc (550ml)21.2MBqAorta (10ml) 19.2MBq BPI Aorta Aorta 30sec LEHRLEGPMEGP LE HR GP (TAC) phase BPI MEGP Aorta 1113 framebrain 8190 frame Brain Perfusion Index (BPI) BPI Aorta Aorta LEGPLEHRMEGP BPI Aorta BPI pixel 24pixel
25 BPI BPI BPI Fig 1 Aorta BPI Aorta Aorta BPI Fig 2 Aorta BPI BPI Fig
26 68Ge- 68 Ga PET OS-EM CV NMSE (ordered subsets expectation maximizatio) Iteration Subset 1) 50 NMSE PET Positron Emission 18F Tomography Iteration50 2) Gaussian filter 18F Fig.2 68Ge- 68 Ga 2 Gaussian filter size 1) Subset Iteration Gaussian filter size 1 20 CV NMSE PET/CT Aquidio16 LSO 3D 1) GMS7700R Subset14Iteration3Gaussian filter 68Ge- 68 Ga filter size Subset Iteration Fig Subset Gaussian filter size NMSE 3 (normalized mean squared error) CV MBq/Kg 68Ge- 68 Ga Daily QC MBq 5969ml PET 3D Fig Subset Iteration CTAC 1 Subset Subset Iteration
27 Fig.1 68 Ge- 68 Ga MB 5969ml Fig.4 Fig.2 Iteration Subset Fig.5 Subset NMSE Iteration Subset 14 Fig.6 Iteration NMSE Subset Iteration 6Subset Fig.3 Gaussain filter size Iteration 4 Subset 3 Iteration
28 Fig.7 Gaussian filter size NMSEmmFWHM CV Iteration Subset NMSE Subset Iteration 6Subset Iteration 4Subset 3 Iteration 3 Fig.6 Gaussian filter size Gaussian filter size CV filter size 10mmFWHM NMSE 8mmFWHM Fig.7 Fig.8 Subset Iteration 5) 6) Iteration Subset CV Subset Iteration NMSE 68Ge- Iteration Subset Ga Fig.5 Subset NMSE Iteration PET SUV standardized uptake value 3) 18F 68Ge- 68 Ga Fig.8 18F PET 68Ge- 68 Ga FWHM 18F Fig.4 4)
29 68Ge- 68 Ga 1) OSEM iteration subset (2001) 2) JESRA X PET (2005) 3) FDG-PET Body Mass Index (2004) 4) PET (2006) 5) SPECT (1998) 6) PET (2006)
![6) [ ] PDM-107 POLIMASTER PMI1604A [ 18 - FDG ] UG-01 UG-150D](/docs-images/94/118764205/images/30-1.jpg "UG-150U [ ] 6 2 2006 3 1 1 1 [ ] Fig. 1 1 1 PET 1 RI Fig.")
30 RIPET RI PET PET (Fig. 3) (Fig. 4) PET 18F-FDG 1 PET RI (Fig. RI 5) 1 1 PET SPECT PET (Fig. 6) [ ] PDM-107 POLIMASTER PMI1604A [ 18 - FDG ] UG-01 UG-150D UG-150U [ ] [ ] Fig PET 1 RI Fig PET (Fig. 1) (Fig. 2)
31 SPECT 99mTc (Fig. 7) RI PET Fig.5 1 Fig.3 PET Fig PET ( ) SPECT Fig.4 PET 1 Fig. 7 SPECT ( )
32 1 1 S P E C T PET keV S P E C T 99mTc 201l PET RI 37MBq1110MBq PET RI 1 PET (2006.4)
33 PET * * 4 PET (Fig.2) PET-CT PET (Fig.3) PET RIS (Fig.4) (Fig. 1) PET Fig.5 HIS PET RIS RIS FAX Fig.6 HIS HIS 2 (Fig.7) Fig. 1. HIS HIS
34 Fig. 2 Fig. 6 Fig. 3 Fig. 7 Fig. 4,
35 16 (2006) 35min uptake (HH15LHL15K-GSA) HH15LHL15K-GSA 35min uptake GSA 35 HH LHL15 35min 0.916K-GSA uptake Fig.1 35min 35min uptake uptake min uptake 35min uptake Ca Fig.3 (BSA) 35 min uptake(%) = 100 (3986.3X ) SPECT Ca 35minuptake X 100ml 35min 35 uptake Fig.4 GCA7200A/DI 35min uptake GMS5500A/DI LEHR 35min uptake BSA 35min uptake 99mTcGSA 185MBq 15sec/ 30 35min uptake 35 SPECT 15sec/view 60viewsMatrix Size keV10 FBP CylindroidChang (=0.12/) Butterworth (order 8 cutoff 0.76cycle/) Ramp Fig.2 (BSA) GSA Cylindroid Chang
36 35min uptake r=0.936 n=50 r=0.916 n=50 r=0.869 n=50 Fig.1 35min uptake r=0.849 n=50 r=0.779 n=50 r=0.781 n=50 Fig.2 35min uptake/kg
37 r=0.890 n=50 r=0.840 n=50 r=0.822 n=50 Fig.3 35min uptake/bsa r=0.736 n=50 r=0.683 n=50 r=0.632 n=50 Fig.4 35min uptake/100ml
38 Adenosine 201 Tl ATP 3 AHA 90% 201Tl 1 AdenoscanATPExercize SPECT3 SPECT Adenoscan 50 6 ATP Table 1 AdenoscanATP 4 Adenoscan120g/kg/min ATP160 10~30 201Tl g/kg/min Tl111MBq Sex Age Coronary artery disease (AHA 90% stenosis) Table 1 Characteristics Number of patient Adenoscan ATP Exercise (n=50) (n=50) (n=50) Man Woman Mean±S.D. 70.7± ±10.3 (range) (47-88) (44-89) (43-85) none RCA LAD LCX Single-vessel Double-vessel Triple-vessel
39 Adenoscan 77.8%ATP 75.9%Exercize 78.6% AdenoscanATPExercize % % % (whole heart) region Patient Table 2 : Adenoscan ATP Exercise 77.8 (21/27) Sensitivity (%) 75.9 (22/29) 78.6 (22/28) RCA 80.0 (12/15) 75.0 (12/16) 73.3 (11/15) LAD 62.5 (10/16) 72.2 (13/18) 69.2 ( 9/13) LCX 50.0 ( 6/12) 66.7 (10/15) 60.0 ( 9/15) Table 3 : Table 2 Adenoscan 65.2%ATP 66.7%Exercize 54.5% AdenoscanATPExercize % % % Table 3 Adenoscan 72.0%ATP 72.0%Exercize 68.0% AdenoscanATPExercize % % % Table 4 region Patient (whole heart) region Patient (whole heart) Specificity (%) Adenoscan ATP Exercise 65.2 (15/23) 66.7 (14/21) 54.5 (12/22) RCA 71.4 (25/35) 67.6 (23/34) 60.0 (21/35) LAD 85.3 (29/34) 68.8 (22/32) 83.8 (31/37) LCX 84.2 (32/38) 77.1 (27/35) 80.0 (28/35) Table 4 : Accuracy (%) Adenoscan ATP Exercise 72.0 (36/50) 72.0 (36/50) 68.0 (33/50) RCA 74.0 (36/50) 70.0 (35/50) 64.0 (32/50) LAD 78.0 (39/50) 69.4 (34/50) 80.0 (40/50) LCX 76.0 (38/50) 74.0 (37/50) 74.0 (37/50) AHA 90% 50% Tl 201Tl AdenoscanATP
40 % % % 1) :SUNY Tl ) :SUNY Tl ) : 201 Tl SUNY
41 SPECT 99m Tc- MAA * * Projection projection data projection data Filtered Back Projection(FBP) 64 Butter Worth Filter projection 0.59cycles/cm(8 ) Ramp Filter SPECT 2-4) : 7 : 15 : 5 : 1 (1) (2) (3) 2-1) ) 2 E CAM ( ) GMS-5500A( ) Automatic Registration Tool( ) 99mTc-MAA 185MBq SPECT 2-3) SPECT Fig ) Projection SPECT (a)ct Fig
![[0.30cycles/cm 128128matrix ] Projection [0.39cycles/cm 128128matrix ] Butter Worth Filter [0.49cycles/cm 128128matrix ] [6 6464matrix0.38cycles/cm] [6 128128matrix 0.39cycles/cm] [8 128128matrix 0.](/docs-images/94/118764205/images/42-0.jpg "39cycles/cm] [10 128128matrix 0.39cycles/cm] [12 128128matrix 0.39cycles/cm] 5 3-1) projection Fig. 2 15 Fig. 4 0.49cycles/cm 0.0 1.0 2-6) Fig. 4 SPECT 0.")
42 [0.30cycles/cm matrix ] Projection [0.39cycles/cm matrix ] Butter Worth Filter [0.49cycles/cm matrix ] [6 6464matrix0.38cycles/cm] [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] 5 3-1) projection Fig Fig cycles/cm ) Fig. 4 SPECT 0.39cycles/cm] Butter Worth Filter [ matrix [0.38cycles/cm6464matrix6 ] [0.59cycles/cm matrix ] Fig3 [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] [6 6464matrix 0.38cycles/cm] [ matrix 0.39cycles/cm] [ matrix 0.39cycles/cm] 3-2) Fig. 5 projection 12 Fig.2 SPECT Fig. 5 [0.49cycles/cm128128matrix 12 ] [0.39cycles/cm matrix 12 ] [0.59cycles/cm matrix12 ] [0.38cycles/cm64 64 matrix 6 ] [0.30cycles/cm matrix 12 ] [0.39cycles/cm matrix 12 ] [0.59cycles/cm matrix 12 ] Fig.3Butter Worth filter SPECT
43 P< n.p matrix 6464matrix cycles/cm (CV ) Projection 6 12 CV Projection Fig.4 Butter Worth Filter 0.39cycles/cm Projection cycle/cm ( ) Fig matrix 6464matrix P< cycles/cm Butter Worth Filter Fig.5 12 Butter worth Filter cycles/cm cycles/cm 0 49cycles/cm Fig Projection 8
44 99mTc- GAS/MAA - SPECT - * * 99mTc-GAS ( 1 GAS ) 99m Tc-MAA ( MAA ) 1-2 () GAS 99mTc-GAS ECAM(2 ) image( GAS )MAA () 99mTc-MAA image( MAA GMS-5500A/PI ) ventilation (OS:Windows XP Professional) perfusion ratio image V/Q Object Pascal Borland Delphi GAS MAA GAS MAA 99mTc-GAS GAS 3 SPECT MAA V/Q GAS MAA V/Q GAS V/Q V/Q MAA matrix SPECT V/Q Butterworth -filter cut-off 0.38cycles/cmorder 8-1 filtered back projection G AS MAA GAS MAA DICOM SPECT 10 GAS ( )MAA 13 ( )
45 GAS MAA ( V/Q ) Rainbow white (2)V/Q GAS MAA 99m Tc-GAS ( ) V Q = ( ) 99m Tc- MAA Lower window level value 2 GAS MAA V/Q V/Q V/Q <1 66 V/Q>1 V/Q 1 V/Q V/Q (3-1) (3-2) GAS MAA 1 1 x = N x i ( 3 1) x N i= 0 total count ratio = GAS x, y, z x, y, z f f MAA ( x, y, z ) ( x, y, z ) (total count ratio) MAA MAA N x i V/Q GAS f Normalized MAA (x, y, z ) = total count ratio f (x, y, z) MAA 1-2 V/Q <1 V/Q>1 3-3) (3-4) = σ N i ξ κ ( x i x) - 1 V/Q Fig.1 V/Q V/Q 1 1 N = 0 2 σ ( 3 2) 3 ξ 1 1 = N x i x ( 3 3 N i= 0 σ ) 4 κ 1 1 = N x i x ( 3 4 N i= 0 σ )
46 - 2 V/Q - 4 V/Q Fig.2 V/Q Fig.4 V/Q ( S.D.) 3 S.D. 0.1 V/Q V/Q V/Q (Fig.2) - 3 V/Q Fig.3 V/Q GAS MAA V/Q 0 V/Q V/Q V/Q 1 Fig.5 V/Q 0 3 V/Q
47 0 S.D.0.1 V/Q V/Q log(v/q)=0 S.D.<0.1 V/Q V/Q 1 Fig.6 V/Q V/Q log(v/q)=0 S.D V/Q Fig.6 2 V/Q V/Q V/Q V/Q
48 *** * ** 3 E-CAM Gamma MeterW2DCM cm/min 1ml /min ( )35 Table 1 111In- diethylenetriamine pentaacetic acid ( 111 In-DTPA) 37MBq wholebody ( 2 ) 2 Table
49 18 EBP( 150ml500600ml/ 47 : epidural blood patch) ( ) (Fig.13) (Fig.4)MRI 24 (Fig.5). : 2 Fig.1 Fig.2 Fig
50 Fig.4 ( ) 1) 110(2004) 2) 65 4 :98 102,(2005) Fig.5 EBP 2 35 EBP 20 (57%).EBP (90%) 2 2)
51 PET PET-CT 1 3 PET PETtrace(GE) 16.5MeV 8.4MeV PET 17 7 FDG TRACERlab MXFDG(GE) AT
52 UG-01 PET-CTDiscovery ST(GE) 3 CT VARIAN PET PET PET 2.2 PET-CT 81 PET FDG FDG 3cmPb
53 Diffusion Body Diffusion GE MR Sales & Marketing MR MRI Diffusion Diffusion PET Diffusion Diffusion MRI PET Body Diffusion MRI PET Diffusion N Amp. Filter A/D S M RI Diffusion Diffusion
54 PET Body Diffusion MRI PET Body Diffusion CSF() mm 2 /s ( ) mm 2 /s ( ) mm 2 /s mm 2 /s High CSF LOW PET Body Diffusion Body Diffusion Body Diffusion MRI
55 MRI Body Diffusion PET Body Diffusion PET Body Diffusion VIBRANT Dynamic
56 1( 1 6) 3D-SSP Fusion (BEAT) NDB AD SPECT MRI Fusion T2WI NDB Z-score map CT Fusion NDB NDB mean map S.D.map AD MRI overlappedndb SPECT Fusion n Fusion SPM ezis Version2.0 Version3.0 Z-score rest, diamox 1 mapndb Dual Table ARG 183 SPM99 SPM2 Version 3.0 RI MRI Patlakplot AD VSRAD ezis Version.0 Z-score MMSE MMSE VSRAD ezis Z-score VSRAD Z-score ezis Z-score LEHR LEGP BPI VSRAD ezis MMSE VSRAD AD SPECT BPI
57 MEGP Aorta BPI PET RI ( ) 18F-FDG F-FDG PET PET PET 9 PET PET PET PET MR 68Ge- 68 Ga PET HIS OSEM Iteration Subset Gaussian filter size CV NMSE (Normalized Mean Square Error) NMSE 8 PET RI F 99m Tc 1cm 8 MBq
58 JA CAD uptake HH15LHLKGSA 35 uptake Tl ATP 12 SPECT /PET-CT 13 99mTc-GAS/MAA-SPECT PET-CT In-DTPA
59 /PET-CT 1) DWIBS (Diffusion weighted Whole body FDG imaging with Background signal Suppression) DWIBS PET-CT b Background body signal suppression PET HIS- RIS-PACS S/N b FDG-PET MR CT GE MR FDG-PET FDG-PET DWIBS 3mmFDG-PET5mm PET GGO DWIBS Diffusion Weighted Image: DWI EPI DWIBS S/N MR FDG-PET S/N PET
60 DWIBS FDG-PET DWIBS FDG-PET DWIBS FDG-PET 21 2),3) FDG-PET 1) 32 Radiology Update 2) 40 3)
61 SPECT Vs. M R I SPECT MRI : SPECT MRI MRI MRI MRI SPECT MRI CT SPECT RI SPECT SPECT MRI CT SPECT SPECT MRI CT MRI CT SPECT
62 SPECT SPECT Tl-201Tc-99m-sestamibi Tc-99m-tetrofosmin SPECT viability I-123-BMIPP SPECT I-123-MIBG ) N-13- F-18-FDG PET viability SPECT SPECT SPECT viability SPECT PET viability SPECT 10~15mm Tl Tc - 99m - tetrofosmin Adenosine 40 SPECT 60 SPECT SPECT Tl-201 Tc-99m-tetrofosmin 8 SPECT SPECT(Gated SPECT) Bull's SPECT eye QGS(Quantitative Gated SPECT) PC viability SPECT ) SPECT segment Bull's eye ) %uptakewashout SPECT
63 ) Stunning QGS SPECT SPECT EBM SPECT ECG R-R 816 SPECT EBM 32 evidence-based medicine EDV ESV LVEF PCI CABG SPECT viability QGS p-fast (Perfusion-Function Assessment for myocardial SPECT) Emory Cardiac Toolbox4D-M SPECT (50% SPECT 87% 73% SPECT 89% 75% QGS EDV ESV EF ED PerfusionEBM ES Perfusion Wall Motion %wall thickening LVG QGS SPECT SPECT EF SPECT QGS SPECT SPECT SPECT SPECT 1%
64 - 62 -
65 MRI 2 (Fig.1) MR Perfusion MRI Gd, MR First pass 1 MRI.First pass Cine MRI Perfusion MRI Delayed Enhance 510 MRI Coronary Angiography(MRCA) SNR Saturation pulse b-ssfp one stop shop cardiac examination" Dynamic 6slice/2 Dynamic (ATP,Nicorandil) (Fig.2) MRI work-in study, MRI Cine MRI Cine MRI balanced SSFP b-ssfp Delayed Enhance MRI Cine MRI 30phase Gd slice inversion timeti Cine MRI,, X,, soft Gd 5-6ml 4ml/sec 2 MR,,
66 viability (non viability) (Fig.3) 0.1mmol/kg MRCoronary AngiographyMRCA MRCA 1990 target approach 1) MR ) Bogaert J, Dymarkowski S,and Taylor Whole Heart MR Coronary AM Clinical Cardiac MRI. Angiography Springer.Berlin,(2002). b-ssfp T2prep (Fig.4) Coronary Vessel Wall Imaging 2D black blood T1 soft plaque 2D 3D 2) SNR MRI Fig.1 Cine MRI (Fig.5) MR
67 Fig.2 Nicorandil perfusion MRI Perfusion MRI Fig.3 Cine MRI) ) ) Delayed Enhance MRI) ) ) Cine MRI ) 3D-IRBTFE Fig.4MRCA ) )MIPLMT LCA MIPRCA MRCA MIP) 3D-IRBTFE LCX MRCA MIP MRCA Fig.5Coronary Vessel Wall imaging ) MRCA
68 RI RI 1966 ( 41 ) 1977 ( 52 ) ( ) 1969 ( 44 )5 TV RI X RI 10 RI 1 X CT 48 MR 15 2 RI RI 1972 ( 47 )1 RI 1975 ( ) ( 52 ) RI
69 SPECT PET I- 67Ga 1) 1) 67 Ga 2) 201Tl 2) 3) 3)AIDS 4) 5) ) 4) ) 5) FDG-PET 201Tl 1) 67Ga-citrate 201 Tl-chloride 18F-FDG 2) retention index staging 3) FDG glioma grading4) FDG-PET Na 131 I FDG-PET FDG-PET 67Ga 201 Tl SUV retention index 67Ga 201Tl FDG 67Ga 201 TlFDG FDG-PET Tl FDG 2005 FDG 67Ga 201 Tl FDG FDG Ga 201 Tl PET( Ga
70 67Ga201Tl 99mTc 99mTc-MIBI) Oncoscint(TAG72 ), CEA-Scan(CEA ) 131I-MIBG 123I-try-3-ocreotide111In- ocreotide 131I VIPEGF 123I-IAZA 99mTc-HSA, rhenium sulfur colloid, sulfur colloid, stannous tin colloid PET FDG 11C
71 ) PET FDG 185MBq 18F-FDG F-Fluoro Deoxy Glucose PET FDG-PET FDG FDG OSEM RAMLA VUE Point 3 PET FDG PET-CT CT CT PET FDG PET FDG-PET PET PET SPECT PET PET FDG FDG
72 13:0013:30 (13:3014:30) 3D-SSP ezisversion2.0 Version3.0 VSRAD Fusion (BEAT) DTARG *) **) *) **) Patlak plot (14:3015:00) Ge- Ga PET RIPET PET * ) RIS * ) JA (15:0015:50) 35min uptake Program
73 201 Tl ATP SPECT 99m Tc-MAA * ) * ) 99 Tc- GAS/MAA- SPECT - * ) * ) (16:1016:50) (17:0018:00) SPECT FDG-PET 18:30 9:009:30 /PET-CT 9:3010:00 GE MR Versus10:1011:10 SPECT Vs. MRI SPECT MRI
74 16 (2006) 3 18 ( ) 17 ( ~ ) 127,000 13, , , , , ,
75
76
77
78 - 76 -
79 1 ( ) 1 ( ) ( ) 2 4 ( ) 2 ( ) 3 (3) 2 ( ) 11 ( ) 4 12 (1) ( ) (2) 13 (3) (4) 14 3 ( ) ( ) ( ) ( ) 8 17 (1) (2) 18 (3) (1) 1 (2) ( ) ( ) ( ) 5 ( ) ( ) ( )
80 ( ) ( ) ( ) 20 2 ( ) , ( ) , ( ) ( ) 24 (1) (2) (3) 2. ( ) ( ) ( )
81 - 79 -
82
83 SPECT FDGPET PETCT PET/CT GE SPECTvs MRI SPECT MRI
84 - 82 -
85 RITel (0877)
SPECTにおける撮像時間短縮の研究
SPECT(single photon emission computed tomography) 031-8001355-5 SPECT (single photon emission computed tomography) 20 30 SPECT OS-EM (ordered subsets-expectation maximization) OS-EM SNR (signal to noise
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1 Session 1 9 00 10 00 10 4 1 1-001 CBCT 1-002 CT 1-003 FOV 1-004 Area detector CT 1-005 CT Modulation Transfer Function 1 2 3 4 5 6 7 8 1-006 CT Noise power spectrum 1 2 3 4 5 67 8 Session 2 10 00 10
12核49-4試験01.pdf
日本核医学会第 9 回核医学専門医試験問題 第 9 回核医学専門医試験は, 平成 24 年 (2012 年 )6 月 24 日 ( 日 ), 下記の要綱で行われました. ここに, 試験問題 ( 原文のまま ) を掲載いたします. なお, 受験者は 36 名で 34 名合格いたしました. 平成 25 年 6 月実施予定の第 10 回核医学専門医試験も, 多数受験されるようお願いします. 一般社団法人日本核医学会
(核)41-1(05)報告33-46
33 Report on Survey of the Adverse Reaction to Radiopharmaceuticals (The 28th Survey in 2002) 6 * Subcommittee of Safety Issue for the Radiopharmaceuticals Medical and Pharmaceutical Committee Japan Radioisotope
Microsoft PowerPoint - 第27回北海道核医学技術セミナー MS法 HP用.pptm
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