111
-ㅰ
ㅰ ㎡
ᮏ◊✲ࢆ㐙⾜ࡍࡿ࠶ࡓࡾ㸪᠓ษ࡞ࡿࡈᣦᑟࡈ㠴᧡ࢆ㈷ࡾࡲࡋࡓ㸪ᒱ㜧Ꮫ
Ꮫ㝔་Ꮫ⣔◊✲⛉⏕་⛉Ꮫᑓᨷ▱⬟࣓࣮ࢪሗศ㔝ᩍᤵࡢ⸨⏣ᘅᚿඛ⏕
ᚰࡼࡾཌࡃᚚ♩⏦ࡋୖࡆࡲࡍ㸬
බ㛤ᏛㄽᩥⓎ⾲࠾࠸࡚㸪᭷┈࡞㆟ㄽᩘࠎࡢࡈᣦᑟࢆ㈷ࡾࡲࡋࡓ㸪ᒱ㜧
ᏛᏛ㝔་Ꮫ⣔◊✲⛉⥲ྜែෆ⛉Ꮫᩍᤵࡢ▼ሯ㐩ኵඛ⏕㸪ᒱ㜧Ꮫ㐃ᦠᏛ 㝔་Ꮫ⣔◊✲⛉⬻ែゎᯒᏛศ㔝ᐈဨᩍᤵࡢ⠛⏣ ῟ඛ⏕㸪ᒱ㜧ᏛᏛ㝔་Ꮫ
⣔◊✲⛉ᩆᛴ࣭⅏ᐖ་Ꮫᩍᤵࡢᑠ┿ඛ⏕㸪ᒱ㜧Ꮫ་Ꮫ㒊་Ꮫᩍ⫱㛤Ⓨ◊✲
ࢭࣥࢱ࣮ᩍᤵࡢ⸨ᓮᙪඛ⏕ᚰࡼࡾឤㅰ⏦ࡋୖࡆࡲࡍ㸬
ᮏ◊✲ࡢඹྠᐇ㦂⪅ࡋ࡚ࡈ༠ຊ࠸ࡓࡔ࠸ࡓ㸪⩌㤿┴❧┴Ẹᗣ⛉ᏛᏛᏛ㛗 ࡢᅵ㑥㞝ඛ⏕㸪⇃ᮏᏛᏛ㝔ಖᏛᩍ⫱㒊ඛ➃⏕་⒪⛉Ꮫ㒊㛛་⏝⌮ᕤᏛ ศ㔝ᩍᤵࡢⓑ▼㡰ඛ⏕㸪๓ᶫᕤ⛉ᏛᏛ㝔ᕤᏛ◊✲⛉⎔ቃሗᕤᏛᑓᨷᩍᤵ
ࡢཎᕝဴ⨾ඛ⏕ឤㅰ⏦ࡋୖࡆࡲࡍ㸬
᭱ᚋ㸪ᮏ◊✲࠾ࡅࡿᐇ㦂࠾ࡼࡧከ᪉㠃ࢃࡓࡾ᭷┈࡞ࡈຓゝࡈ༠ຊࢆ㡬 ࡁࡲࡋࡓ㸪⩌㤿┴❧┴Ẹᗣ⛉ᏛᏛデ⒪ᨺᑕ⥺Ꮫ㒊ࡢඛ⏕᪉㸪୰ኸ⩌㤿⬻⚄⤒
እ⛉㝔ᨺᑕ⥺⛉࠾ࡼࡧ᱒⏕ཌ⏕⥲ྜ㝔ᨺᑕ⥺⛉ࡢⓙᵝឤㅰ⏦ࡋୖࡆࡲࡍ㸬
࡞࠾㸪ᮏ◊✲ࡢ୍㒊ࡣ㸪⊂❧ἲே᪥ᮏᏛ⾡⯆㸦Japan Society for the Promotion of Science㸸JSPS㸧⛉Ꮫ◊✲㈝⿵ຓ㔠㸦◊✲ㄢ㢟␒ྕ㸸21791205㹙2009㹼2010㹛㸪
23591784㹙2011㹼2013㹛㸧ࡢຓᡂࡼࡗ࡚ᐇࡉࢀࡓ㸬
ㅰ㎡
ᮏ
ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
ᮏ ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
ᮏᏛㄽᩥࡣ㸪௨ୗࡢྛㄽᩥ࠾ࡼࡧⓎ⾲➼ࡢෆᐜࢆࡲࡵࡓࡶࡢ࡛࠶ࡾ㸪ࡇࡇ
ࡇࢀࡽࡢ୍ぴࢆ♧ࡋࡲࡍ㸬
ཎⴭㄽᩥ
1. Nagashima H, Harakawa T, “Computer-Aided Diagnostic Scheme for Detection of Acute Cerebral Infarctions on Brain CT Images,” Journal of Signal Processing, vol.12, no.1, pp.73-80, 2008.㸦➨3❶࡛グ㍕㸧
2. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪͆ࢥࣥࢺࣛࣛࢸࣛࣝᕪศᢏ⾡ࢆ⏝࠸ࡓࢥࣥࣆ࣮ࣗࢱᨭ
デ᩿ࢩࢫࢸ࣒㸫⬻CT⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢᛂ⏝㸫㸪͇㟁ẼᏛ
ㄽᩥㄅC㸪vol.128㸪no.11㸪pp.1687-1695㸪2008㸬㸦➨4❶࡛グ㍕㸧
3. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪ⓑ▼᫂ஂ㸪㡲Ọ┾୍㸪͆⬻CT⏬
ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰࡢࢥࣥࣆ࣮ࣗࢱࡼࡿ᳨ฟ㸪͇Med Imag Tech㸪vol.27㸪 no.1㸪pp.30-38㸪2009㸬㸦➨5❶࡛グ㍕㸧
4. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ᅵ㑥㞝㸪͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅ
ࡿ⾲♧㝵ㄪㄪ⠇ࢩࢫࢸ࣒ࡢ㛤Ⓨ㸪͇㟁ẼᏛㄽᩥㄅC㸪vol.130㸪no.3㸪pp.450-457㸪 2010㸬㸦➨6❶࡛グ㍕㸧
5. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ᅵ㑥㞝㸪͆⃰ᗘࣄࢫࢺࢢ࣒ࣛゎᯒᇶ࡙ࡃ⬻ MRI ᣑ ᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪࡢ⮬ືㄪ⠇㸪͇ᫎീሗ࣓ࢹᏛㄅ㸪vol.64㸪 no.6㸪pp.874-880㸪2010㸬㸦➨7❶࡛グ㍕㸧
6. 㛗ᓥᏹᖾ㸪ᒾᓮ㝯ྐ㸪㡲Ọ┾୍㸪ᚋ㛩㝯அ㸪⸨㞞㸪బ⸨ 㸪᰿ᓊ ᚭ㸪
ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪ᅵ㑥㞝㸪͆⬻CT⏬ീ࠾ࡅࡿపࢥࣥࢺࣛࢫࢺ᳨ฟ⬟
ࡢᐃ㔞ⓗホ౯㸸㉸ᛴᛶᮇ⬻᱾ሰࡢ㆑ูᑐࡍࡿ࢘ࣥࢻ࢘ᖜࡢᙳ㡪㛵ࡍࡿ
᳨ウ㸪͇᪥ᨺᢏᏛㄅ㸪vol.67㸪no.11㸪pp.1408-1414㸪2011㸬㸦ᖹᡂ 24 ᖺᗘ᪥ᮏ ᨺᑕ⥺ᢏ⾡Ꮫ℩ᮌ㈹㹙᭱ඃ⚽ㄽᩥ㈹㹛ཷ㈹㸧㸦➨2❶࡛グ㍕㸧
7. Nagashima H, Doi K, Ogura T, Fujita H, “Automated adjustment of display conditions in brain MR images: diffusion-weighted MRIs and apparent diffusion coefficient maps for hyperacute ischemic stroke,” Radiol Phys Technol, vol.6, no.1, pp.202-209, 2013.㸦➨8❶࡛グ㍕㸧
ᾏእⓎ⾲
1. Nagashima H, Harakawa T, “Computer-aided diagnosis for the detection of acute cerebral infarction on brain CT images,” Research Institute of Signal Processing
ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
114
-Japan (RISP) International Workshop on Nonlinear Circuits and Signal Processing, Shanghai, 2007.
2. Nagashima H, Harakawa T, Shiraishi J, Doi K, “Computer-aided Diagnostic (CAD) Scheme for Detection of Acute Ischemic Stroke in Brain CT by Use of Contralateral Volume Subtraction Technique,” The 93rd Scientific Assembly and Annual Meeting of the Radiological Society of North America, Chicago, 2007.
3. Nagashima H, Saito M, Shimokawa K, Negishi T, Shiraishi A, Ogura T, Igarashi H, Fujita H, Doi K, “Computerized Scheme for Automated Adjustment of Display Conditions in Brain Diffusion-Weighted Magnetic Resonance Images and Apparent Diffusion Coefficient Maps with Hyperacute Ischemic Stroke,” European Congress of Radiology 2011, Vienna, 2011.
ᅜᅜෆⓎ⾲
1. 㛗ᓥᏹᖾ㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ዟᮧ⏤㸪ཎᕝဴ⨾㸪
͆ࢥࣥࢺࣛࣛࢸࣛࣝᕪศീᢏ⾡ࢆ⏝࠸ࡿ㢌㒊 CT ⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ ࡢ᳨ฟ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨62ᅇ⥲Ꮫ⾡㸦2006.4㸪⚄ዉᕝ㸧 2. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪
᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪͆㢌㒊CT⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢ ࡓࡵࡢࢥࣥࢺ࣭ࣛࣛࢸࣛࣝᕪศ⏬ീฎ⌮ᢏ⾡ࡢ᭷⏝ᛶ㸪͇་⏝⏬ീሗᏛᖹ ᡂ18ᖺᗘ⛅Ꮨ㸦➨146ᅇ㸧㸦2006.10㸪ᮾி㸧
3. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪㡲⸨Ᏻᘅ㸪ᚋ㛩㝯அ㸪
͆CT ⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢࢥࣥࣆ࣮ࣗࢱᨭデ᩿ࢩࢫࢸ࣒㸫ഇ 㝧ᛶೃ⿵ࢆ㝖ཤࡍࡿࡓࡵࡢ≉ᚩ㔞ᢳฟ㸫㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 63 ᅇ⥲
Ꮫ⾡㸦2007.4㸪⚄ዉᕝ㸧
4. 㛗ᓥᏹᖾ㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪㡲⸨Ᏻᘅ㸪 ᚋ㛩㝯அ㸪ᕝᓥᗣᘯ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪͆➼᪉ᛶCTయ✚ࢹ࣮
ࢱ࠾ࡅࡿᑐഃᛶᕪศᢏ⾡ࢆ⏝࠸ࡓᛴᛶᮇ⬻᱾ሰ᳨ฟࡢࡓࡵࡢࢥࣥࣆ࣮ࣗࢱ ᨭデ᩿㸦CAD㸧㸪͇➨8ᅇ⩌㤿┴MDCT◊✲㸦2008.8㸪⩌㤿㸧
5. 㛗ᓥᏹᖾ㸪ୗᕝ㈼㸪ᚋ⸨ஂ㸪ᕝᓥᗣᘯ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪
͆ᛴᛶᮇ⬻᱾ሰࡢMRIᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧᮲௳⮬ືタᐃࢩࢫࢸ࣒ࡢᵓ
⠏㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨36ᅇ⛅ᏘᏛ⾡㸦2008.10㸪㛗㔝㸧
6. 㛗ᓥᏹᖾ㸪ᚋ⸨ஂ㸪ୗᕝ㈼㸪㡲Ọ┾୍㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪
͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧᮲௳タᐃἲ㛵ࡍࡿ୍⪃
㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨36ᅇ⛅ᏘᏛ⾡㸦2008.10㸪㛗㔝㸧
ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
7. 㛗ᓥᏹᖾ㸪ୗᕝ㈼㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪༑ᔒᆒ㸪ᅵ㑥㞝㸪
͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪ⮬ືㄪ⠇ࢩࢫࢸ࣒㸪͇
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨56ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦2010.2㸪ᒣ㸧
8. 㛗ᓥᏹᖾ㸪㰻⸨᱈ຍ㸪༑ᔒᆒ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᅵ㑥㞝㸪ᚋ㛩㝯அ㸪 㡲Ọ┾୍㸪͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ぢࡅࡢᣑᩓಀᩘ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪ⮬
ື⤫୍ࢩࢫࢸ࣒ࡢ㛤Ⓨ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 57 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲
㸦2011.2㸪ᇸ⋢㸧
9. 㛗ᓥᏹᖾ㸪ᒾᓮ㝯ྐ㸪ⓑ▼᫂ஂ㸪బ⸨ 㸪᰿ᓊ ᚭ㸪ᑠᩄ⿱㸪ᅵ㑥㞝㸪
͆⬻ CT ⏬ീࡢ㉸పࢥࣥࢺࣛࢫࢺ᳨ฟ⬟࠾ࡅࡿ࢘ࣥࢻ࢘ᖜࡢᙳ㡪㛵ࡍ
ࡿࢩ࣑࣮ࣗࣞࢩࣙࣥㄪᰝ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 57 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲
㸦2011.2㸪ᇸ⋢㸧
ᮏㄽᩥ࡛⏝࠸ࡓㄽᩥ࠾ࡼࡧⓎ⾲ࣜࢫࢺ
116
-◊
◊✲ᴗ⦼
◊✲ᴗ⦼
117
-◊ ◊✲ᴗ⦼
ཎⴭ㸦ᮏேⓎ⾲ศ㸧
1. 㛗ᓥᏹᖾ㸪బ㔝ᑦᶞ㸪୰ᮧ ಟ㸪͆MOS ᆺ㟁⏺ຠᯝࢺࣛࣥࢪࢫࢱ⥺㔞ィࡢᛶ
⬟ホ౯㸪͇᪥ᨺᢏᏛㄅ㸪vol.57㸪no.2㸪pp.234-242㸪2001㸬
2. 㛗ᓥᏹᖾ㸪బ㔝ⰾ▱㸪ụ㛗 ⫄㸪ྜྷ⃝ᘺ㸪ⰱἑᡂ㸪ụᕝ༤㸪͆Ꮚᐑ༸⟶
㐀ᙳ࠾ࡅࡿᝈ⪅⓶⥺㔞⏬㉁ࡢ᭱㐺㸪͇᪥ᨺᢏᏛㄅ㸪vol.57㸪no.12㸪 pp.1562-1569㸪2001㸬
3. 㛗ᓥᏹᖾ㸪ᆏᮏ ⫕㸪బ㔝ⰾ▱㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪͆࢞ࢻࣜࢽ࣒࢘㐀ᙳ
ࢆ⏝࠸ࡓDSA⏬ീࡢᇶ♏ⓗ᳨ウ㸪͇᪥ᨺᢏᏛㄅ㸪vol.58㸪no.10㸪pp.1369-1376㸪 2002㸬
4. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ᆏᮏ ⫕㸪బ㔝ⰾ▱㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪͆ప⃰ᗘ DSA ⏬ീ࠾ࡅࡿࣄࢫࢺࢢ࣒ࣛኚࢆ⏝࠸ࡓࢥࣥࢺࣛࢫࢺᨵၿࡢᇶ♏ⓗ᳨
ウ㸪͇Journal of Signal Processing㸪vol.8㸪no.2㸪pp.147-156㸪2004㸬
5. Nagashima H, Harakawa T, Sakamoto H, Sano Y, Shiraishi A, Hoshina M, Igarashi H,
“Improvement of Signal-to-Noise Ratio Using a Genetic Algorithm for Low-Density DSA Images,” Journal of Signal Processing, vol.8, no.6, pp.495-500, 2004.
6. 㛗ᓥᏹᖾ㸪ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪ୗ℩ᕝṇᖾ㸪᯽୍㸪ಖ⛉ṇኵ㸪Ἑཎ⏣
Ὀᑜ㸪༑ᔒᆒ㸪͆⩌㤿┴ෆタࢆᑐ㇟ࡋࡓ㢌㒊CT᳨ᰝ࠾ࡅࡿᙳ⥺㔞
⏬㉁ࡢẚ㍑ホ౯㸪͇Japanese Journal of Medical Physics㸪vol.24㸪no.4㸪 pp.154-161㸪2004㸬
7. 㛗ᓥᏹᖾ㸪㡲Ọ┾୍㸪ぢ␃㇏ஂ㸪ᑠᒇᰤ୍㸪Ṋᏹ⾜㸪ᯇཎᅧኵ㸪ᑠᩄ⿱㸪
ⓑ▼᫂ஂ㸪ୗ℩ᕝṇᖾ㸪ಖ⛉ṇኵ㸪༑ᔒᆒ㸪͆X⥺CT⨨ࡢ⥺㔞ホ౯
ྍḞ࡞ᐇຠ࢚ࢿࣝࢠ࣮ࡢ᪂ࡓ࡞⟬ฟἲࡢ᳨ウ㸪͇᪥ᨺᢏᏛㄅ㸪vol.61㸪no.3㸪 pp.385-391㸪2005㸬
8. Nagashima H, Harakawa T, “Computer-Aided Diagnostic Scheme for Detection of Acute Cerebral Infarctions on Brain CT Images,” Journal of Signal Processing, vol.12, no.1, pp.73-80, 2008.
9. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪͆ࢥࣥࢺࣛࣛࢸࣛࣝᕪศᢏ⾡ࢆ⏝࠸ࡓࢥࣥࣆ࣮ࣗࢱᨭ
デ᩿ࢩࢫࢸ࣒㸫⬻CT⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢᛂ⏝㸫㸪͇㟁ẼᏛ
ㄽᩥㄅC㸪vol.128㸪no.11㸪pp.1687-1695㸪2008㸬
10. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪ⓑ▼᫂ஂ㸪㡲Ọ┾୍㸪͆⬻CT⏬
ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰࡢࢥࣥࣆ࣮ࣗࢱࡼࡿ᳨ฟ㸪͇Med Imag Tech㸪vol.27㸪 no.1㸪pp.30-38㸪2009㸬
◊✲ᴗ⦼
11. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ᅵ㑥㞝㸪͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅ
ࡿ⾲♧㝵ㄪㄪ⠇ࢩࢫࢸ࣒ࡢ㛤Ⓨ㸪͇㟁ẼᏛㄽᩥㄅC㸪vol.130㸪no.3㸪pp.450-457㸪 2010㸬
12. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ᅵ㑥㞝㸪͆⃰ᗘࣄࢫࢺࢢ࣒ࣛゎᯒᇶ࡙ࡃ⬻ MRI ᣑ ᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪࡢ⮬ືㄪ⠇㸪͇ᫎീሗ࣓ࢹᏛㄅ㸪vol.64㸪 no.6㸪pp.874-880㸪2010㸬
13. 㛗ᓥᏹᖾ㸪ᒾᓮ㝯ྐ㸪㡲Ọ┾୍㸪ᚋ㛩㝯அ㸪⸨㞞㸪బ⸨ 㸪᰿ᓊ ᚭ㸪
ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪ᅵ㑥㞝㸪͆⬻CT⏬ീ࠾ࡅࡿపࢥࣥࢺࣛࢫࢺ᳨ฟ⬟
ࡢᐃ㔞ⓗホ౯㸸㉸ᛴᛶᮇ⬻᱾ሰࡢ㆑ูᑐࡍࡿ࢘ࣥࢻ࢘ᖜࡢᙳ㡪㛵ࡍࡿ
᳨ウ㸪͇᪥ᨺᢏᏛㄅ㸪vol.67㸪no.11㸪pp.1408-1414㸪2011㸬
14. Nagashima H, Doi K, Ogura T, Fujita H, “Automated adjustment of display conditions in brain MR images: diffusion-weighted MRIs and apparent diffusion coefficient maps for hyperacute ischemic stroke,” Radiol Phys Technol, vol.6, no.1, pp.202-209, 2013.
㈨㈨ᩱ㸦ᮏேⓎ⾲ศ㸧
1. 㛗ᓥᏹᖾ㸪Ἑཎ⏣Ὀᑜ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪ụ㛗 ⪽㸪ᓥಙ㸪ᑠᯘ ᐶ㸪
⛅ᒣ୕㑻㸪బ㔝ⰾ▱㸪͆CT ⨨ࡢ⥺㉁ホ౯㸪͇ᇸ⋢ᨺᑕ⥺㸪vol.50㸪no.6㸪 pp.383-384㸪2002㸬
2. 㛗ᓥᏹᖾ㸪༑ᔒᆒ㸪ᫍ㔝ಟᖹ㸪㔠Ꮚ┤ஓ㸪ཎᕝဴ⨾㸪͆⾑⟶㐀ᙳ᳨ᰝ࠾ࡅ
ࡿಙྕ㞧㡢ẚࡢᨵၿ㸪͇Proceedings of the 2003 IEICE General Conference ⥲ྜ
ㅮ₇ㄽᩥ㞟㸪pp.84㸪2003㸬
3. Nagashima H, Harakawa T, “Improvements of Medical Image Quality Using Histogram Transformation for Low Density DSA Images – Optimization of Gray Scale Transformation Function Using Genetic Algorithm-,” RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.173-176, 2004.
4. 㛗ᓥᏹᖾ㸪㡲Ọ┾୍㸪ぢ␃㇏ஂ㸪ᑠᒇᰤ୍㸪ᑠᩄ⿱㸪ⓑ▼᫂ஂ㸪ୗ℩ᕝṇ ᖾ㸪ಖ⛉ṇኵ㸪༑ᔒᆒ㸪͆X⥺CT⨨࠾ࡅࡿᐇຠ࢚ࢿࣝࢠ࣮ࡢ᪂ࡓ࡞⟬
ᐃἲ㸪͇Japanese Journal of Medical Physics㸪vol.24㸪sup.2㸪pp.178-179㸪2004㸬 5. 㛗ᓥᏹᖾ㸪⸨⏕႐ඖ㸪ཎᕝဴ⨾㸪͆㠀⥺ᙧ᭱㐺ࡼࡿGd㐀ᙳ⏬ീࡢ㩭㗦㸪͇ Proceedings of the 2005 IEICE General Conference⥲ྜㅮ₇ㄽᩥ㞟㸪pp.303㸪 2005㸬
6. 㛗ᓥᏹᖾ㸪Ṋᏹ⾜㸪㡲Ọ┾୍㸪ᑠᩄ⿱㸪ⓑ▼᫂ஂ㸪ಖ⛉ṇኵ㸪༑ᔒᆒ㸪
͆ᗈᇦタࢆᑐ㇟ࡋࡓX ⥺CT᳨ᰝࡢ࣮ࣝࢳࣥᙳ᮲௳࠾ࡅࡿᙳ⥺㔞
◊✲ᴗ⦼
119
-ࡢㄪᰝ㸪͇ᨺᑕ⥺㜵ㆤศ⛉ㄅ㸪vol.21㸪pp.19㸪2005㸬
7. Nagashima H, Harakawa T, “Computer-aided diagnosis for the detection of acute cerebral infarction on brain CT images,” RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.305-308, 2007.
◊◊✲Ⓨ⾲㸦ᮏேⓎ⾲ศ㸧
ᅜ㝿ᏛⓎ⾲
1. Nagashima H, Harakawa T, “Improvements of Medical Image Quality Using Histogram Transformation for Low Density DSA Images –Optimization of Gray Scale Transformation Function using Genetic Algorithm–,” RISP International Workshop on Nonlinear Circuits and Signal Processing, Hawaii, 2004.
2. Nagashima H, Harakawa T, “Computer-aided diagnosis for the detection of acute cerebral infarction on brain CT images,” Research Institute of Signal Processing Japan (RISP) International Workshop on Nonlinear Circuits and Signal Processing, Shanghai, 2007.
3. Nagashima H, Harakawa T, Shiraishi J, Doi K, “Computer-aided Diagnostic (CAD) Scheme for Detection of Acute Ischemic Stroke in Brain CT by Use of Contralateral Volume Subtraction Technique,” The 93rd Scientific Assembly and Annual Meeting of the Radiological Society of North America, Chicago, 2007.
4. Nagashima H, Saito M, Shimokawa K, Negishi T, Shiraishi A, Ogura T, Igarashi H, Fujita H, Doi K, “Computerized Scheme for Automated Adjustment of Display Conditions in Brain Diffusion-Weighted Magnetic Resonance Images and Apparent Diffusion Coefficient Maps with Hyperacute Ischemic Stroke,” European Congress of Radiology 2011, Vienna, 2011.
ᅜෆᏛⓎ⾲
1. 㛗ᓥᏹᖾ㸪͆ྠ୍⿕య㸦㢌㒊ࣇࣥࢺ࣒㸧ࡼࡿタ㛫ࡢ⏬ീホ౯㸪͇᪥ᮏ ᨺᑕ⥺ᢏ⾡Ꮫᒣᨭ㒊◊✲Ⓨ⾲㸦1996.4㸪ᒣ㸧
2. 㛗ᓥᏹᖾ㸪ᘪ๐ ㄔ㸪ᓥಙ㸪ụ㛗 ⫄㸪⯓⏣Ⰻோ㸪ⰱἑᡂ㸪┦ᕝⰋே㸪
ྜྷ⃝ᘺ㸪ᆏᮏ ⫕㸪బ㔝ᑦᶞ㸪⇃㇂༤ྖ㸪᪂ኵ㸪బ㔝ⰾ▱㸪⛅ᒣ୕㑻㸪
୰ᮧ ಟ㸪͆CTᙳ࠾ࡅࡿ⿕᭚⥺㔞పῶࡢヨࡳ㸪͇᪥ᮏᨺᑕ⥺ᢏᖌ㛵ᮾᆅ ᇦᨺᑕ⥺ᢏᖌᏛ⾡㸦1997.6㸪ᮾி㸧
3. 㛗ᓥᏹᖾ㸪⛅ᒣ୕㑻㸪┦ᕝⰋே㸪ụ㛗 ⫄㸪ᆏᮏ ⫕㸪⇃㇂༤ྖ㸪బ㔝ⰾ▱㸪
◊✲ᴗ⦼
୰ᮧ ಟ㸪͆CT㢡㛵⠇㔜㐀ᙳ࠾ࡅࡿከ᩿㠃ᵓᡂ㸦MPR㸧⏬ീࡢ᭷⏝ᛶ㸪͇
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨25ᅇ⛅ᏘᏛ⾡㸦1997.11㸪ዉⰋ㸧
4. 㛗ᓥᏹᖾ㸪ụ㛗 ⫄㸪ᓥಙ㸪┦ᕝⰋே㸪బ㔝ᑦᶞ㸪బ㔝ⰾ▱㸪⛅ᒣ୕㑻㸪
୰ᮧ ಟ㸪͆MOSFET᳨ฟჾࢆ⏝࠸ࡓ⥺㔞ィࡢホ౯㸫➨1ሗ㸫㸪͇᪥ᮏᨺᑕ⥺
ᢏ⾡Ꮫ➨26ᅇ⛅ᏘᏛ⾡㸦1998.10㸪ᾏ㐨㸧
5. 㛗ᓥᏹᖾ㸪బ㔝ᑦᶞ㸪┦ᕝⰋே㸪ᘪ๐ ㄔ㸪⯓⏣Ⰻோ㸪᪂ኵ㸪బ㔝ⰾ▱㸪
⛅ᒣ୕㑻㸪୰ᮧ ಟ㸪͆MOSFET᳨ฟჾࢆ⏝࠸ࡓ⥺㔞ィࡢホ౯㸫➨3ሗ㸫㸪͇
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨45ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦1999.2㸪⩌㤿㸧
6. 㛗ᓥᏹᖾ㸪బ㔝ᑦᶞ㸪┦ᕝⰋே㸪⯓⏣Ⰻோ㸪బ㔝ⰾ▱㸪⛅ᒣ୕㑻㸪୰ᮧ ಟ㸪
͆MOSFET᳨ฟჾࢆ⏝࠸ࡓ㌟↷ᑕ⒪ࡢ⥺㔞 ᐃ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨
27ᅇ⛅ᏘᏛ⾡㸦1999.10㸪⚟ᒸ㸧
7. 㛗ᓥᏹᖾ㸪ྜྷ⃝ᘺ㸪ⰱἑᡂ㸪ụᕝ༤㸪᪂ኵ㸪⛅ᒣ୕㑻㸪బ㔝ⰾ▱㸪
͆Ꮚᐑ༸⟶㐀ᙳ࠾ࡅࡿ⿕᭚⥺㔞పῶࡢヨࡳ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 47 ᅇ 㛵ᮾ㒊◊✲Ⓨ⾲㸦2001.3㸪ᰣᮌ㸧
8. 㛗ᓥᏹᖾ㸪ụ㛗 ⫄㸪ụᕝ༤㸪᪂ኵ㸪⛅ᒣ୕㑻㸪బ㔝ⰾ▱㸪Ⲩᮌ ຊ㸪
͆CT⨨㛫࠾ࡅࡿᛶ⬟ホ౯ࡢẚ㍑᳨ウ㸫㢌㒊CTᙳ࡚㸫㸪͇ᒣCT࣭
MR◊✲㸦2001.6㸪ᒣ㸧
9. 㛗ᓥᏹᖾ㸪ᆏᮏ ⫕㸪ụᕝ༤㸪ᘪ๐ ㄔ㸪ᓥಙ㸪ụ㛗 ⪽㸪ⰱἑᡂ㸪
ྜྷ⃝ᘺ㸪᪂ኵ㸪⛅ᒣ୕㑻㸪బ㔝ⰾ▱㸪͆DSA ᳨ᰝ࠾ࡅࡿ࢞ࢻࣜࢽ࢘
࣒㸦Gd-DTPA㸧㐀ᙳࡢ᳨ウ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 29 ᅇ⛅ᏘᏛ⾡
㸦2001.11㸪ឡ▱㸧
10. 㛗ᓥᏹᖾ㸪Ἑཎ⏣Ὀᑜ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪ụ㛗 ⫄㸪ᓥಙ㸪ᑠᯘ ᐶ㸪
⛅ᒣ୕㑻㸪బ㔝ⰾ▱㸪͆CT⨨ࡢ⥺㉁ホ౯㸪͇᪥ᮏᨺᑕ⥺ᢏᖌ㛵ᮾᆅᇦᨺ ᑕ⥺ᢏᖌᏛ⾡㸦2002.6㸪ᇸ⋢㸧
11. 㛗ᓥᏹᖾ㸪Ἑཎ⏣Ὀᑜ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪⣒୍༤㸪ⱱ⏣ኵ㸪ᖹ㔝㑥 ᘯ㸪͆X⥺CT⨨࠾ࡅࡿ⡆᫆ⓗ࡞⥺㉁⟬ᐃἲ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨49 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦2003.1㸪ᇸ⋢㸧
12. 㛗ᓥᏹᖾ㸪༑ᔒᆒ㸪ᫍ㔝ಟᖹ㸪㔠Ꮚ┤ஓ㸪ཎᕝဴ⨾㸪͆⾑⟶㐀ᙳ᳨ᰝ࠾ࡅ
ࡿಙྕ㞧㡢ẚࡢᨵၿ㸪͇2003ᖺ㟁Ꮚሗ㏻ಙᏛ⥲ྜ㸦2003.3㸪ᐑᇛ㸧 13. 㛗ᓥᏹᖾ㸪ᫍ㔝ಟᖹ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪㔠Ꮚ┤ஓ㸪ཎᕝဴ⨾㸪Ặ⏣ᾈ୍㸪
ᆏᮏ ⫕㸪బ㔝ⰾ▱㸪͆ప⃰ᗘ DSA⏬ീ࠾ࡅࡿSNRᨵၿࡢᇶ♏ⓗ᳨ウ㸪͇
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨31ᅇ⛅ᏘᏛ⾡㸦2003.10㸪⛅⏣㸧
14. 㛗ᓥᏹᖾ㸪㡲Ọ┾୍㸪ぢ␃㇏ஂ㸪ᑠᒇᰤ୍㸪ᑠᩄ⿱㸪ⓑ▼᫂ஂ㸪ୗ℩ᕝṇ ᖾ㸪ಖ⛉ṇኵ㸪༑ᔒᆒ㸪͆X⥺CT⨨࠾ࡅࡿᐇຠ࢚ࢿࣝࢠ࣮ࡢ᪂ࡓ࡞⟬
◊✲ᴗ⦼
121
-ᐃἲ㸪͇᪥ᮏ་Ꮫ≀⌮Ꮫ➨87ᅇᏛ⾡㸦2004.4㸪⚄ዉᕝ㸧
15. 㛗ᓥᏹᖾ㸪⸨⏕႐ඖ㸪ཎᕝဴ⨾㸪͆㠀⥺ᙧ᭱㐺ࡼࡿGd㐀ᙳ⏬ീࡢ㩭㗦㸪͇ 㟁Ꮚሗ㏻ಙᏛ⥲ྜ㸦2005.3㸪㜰㸧
16. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪⸨⏕႐ඖ㸪ᆏᮏ ⫕㸪బ㔝ⰾ▱㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪
͆࢞ࢻࣜࢽ࣒࢘㐀ᙳࢆ⏝࠸ࡓDSA⏬ീ࠾ࡅࡿSNẚࡢᨵၿ㸫㑇ఏⓗࣝ
ࢦࣜࢬ࣒ࢆ㐺⏝ࡋࡓ⏬ീฎ⌮ᢏ⾡ࡢᥦ㸫㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 61 ᅇ⥲
ྜᏛ⾡㸦2005.4㸪⚄ዉᕝ㸧
17. 㛗ᓥᏹᖾ㸪Ṋᏹ⾜㸪㡲Ọ┾୍㸪ᑠᩄ⿱㸪ⓑ▼᫂ஂ㸪ಖ⛉ṇኵ㸪༑ᔒᆒ㸪
͆ᗈᇦタࢆᑐ㇟ࡋࡓX ⥺CT᳨ᰝࡢ࣮ࣝࢳࣥᙳ᮲௳࠾ࡅࡿᙳ⥺㔞 ࡢㄪᰝ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨61ᅇ⥲ྜᏛ⾡㸦2005.4㸪⚄ዉᕝ㸧 18. 㛗ᓥᏹᖾ㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪⸨⏕႐ඖ㸪ཎᕝဴ⨾㸪
᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ୗ℩ᕝṇᖾ㸪ᑠᩄ⿱㸪ᖹ㔝㑥ᘯ㸪༑ᔒᆒ㸪͆㢌㒊 CT⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰࡢ᳨ฟᡭἲࡢ㛤Ⓨ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨52 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦2006.2㸪⚄ዉᕝ㸧
19. 㛗ᓥᏹᖾ㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ዟᮧ⏤㸪ᕝᓥᗣᘯ㸪Ᏻ⸨ 㞞㸪ᫍ㔝ెᙪ㸪 Ặ⏣ᾈ୍㸪Ṋᏹ⾜㸪㧗ᶫ ᪼㸪᳃⏣⚽ᶞ㸪ᯘ ┿ᕼ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪 ᑠᩄ⿱㸪ᖹ㔝㑥ᘯ㸪༑ᔒᆒ㸪͆ᛴᛶᮇ⬻᱾ሰ CT⏬ീ࠾ࡅࡿCAD ࡢ㛤
Ⓨ㸪͇➨3ᅇ⩌㤿┴MDCT◊✲㸦2006.2㸪⩌㤿㸧
20. 㛗ᓥᏹᖾ㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ዟᮧ⏤㸪ཎᕝဴ⨾㸪
͆ࢥࣥࢺࣛࣛࢸࣛࣝᕪศീᢏ⾡ࢆ⏝࠸ࡿ㢌㒊 CT ⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ ࡢ᳨ฟ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨62ᅇ⥲Ꮫ⾡㸦2006.4㸪⚄ዉᕝ㸧 21. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪
᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪͆㢌㒊CT⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢ ࡓࡵࡢࢥࣥࢺ࣭ࣛࣛࢸࣛࣝᕪศ⏬ീฎ⌮ᢏ⾡ࡢ᭷⏝ᛶ㸪͇་⏝⏬ീሗᏛᖹ ᡂ18ᖺᗘ⛅Ꮨ㸦➨146ᅇ㸧㸦2006.10㸪ᮾி㸧
22. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪 㡲⸨Ᏻᘅ㸪ᚋ㛩㝯அ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ୗ℩ᕝṇᖾ㸪ᑠᩄ⿱㸪༑ᔒ ᆒ㸪͆ᛴᛶᮇ⬻᱾ሰ CT ⏬ീ࠾ࡅࡿࢥࣥࣆ࣮ࣗࢱᨭ᳨ฟࢩࢫࢸ࣒ࡢ㛤Ⓨ㸪
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨53ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦2007.2㸪⩌㤿㸧
23. 㛗ᓥᏹᖾ㸪ཎᕝဴ⨾㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪㡲⸨Ᏻᘅ㸪ᚋ㛩㝯அ㸪
͆CT ⏬ീ࠾ࡅࡿᛴᛶᮇ⬻᱾ሰ᳨ฟࡢࢥࣥࣆ࣮ࣗࢱᨭデ᩿ࢩࢫࢸ࣒㸫ഇ 㝧ᛶೃ⿵ࢆ㝖ཤࡍࡿࡓࡵࡢ≉ᚩ㔞ᢳฟ㸫㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 63 ᅇ⥲
Ꮫ⾡㸦2007.4㸪⚄ዉᕝ㸧
24. 㛗ᓥᏹᖾ㸪✄ᇉᯞ㔛㸪ᚋ⸨ஂ㸪ୗᕝ㈼㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪
◊✲ᴗ⦼
㡲⸨Ᏻᘅ㸪ᚋ㛩㝯அ㸪᰿ᓊ ᚭ㸪ୖཎ┿㸪ⓑ▼᫂ஂ㸪ୗ℩ᕝṇᖾ㸪ᑠᩄ
⿱㸪ᖹ㔝㑥ᘯ㸪ୗᮧὒஅຓ㸪༑ᔒᆒ㸪͆⏬ീࢹ࣮ࢱ࣮࣋ࢫࢆ⏝࠸ࡓㄞᙳᩍ⫱
ࡢ᭷⏝ᛶ㛵ࡍࡿ᳨ウ㸪͇➨1ᅇデ⒪ᨺᑕ⥺Ꮫᩍ⫱ᏛᏛ⾡㞟㸦2007.9㸪⩌
㤿㸧
25. 㛗ᓥᏹᖾ㸪ⓑ▼㡰㸪ᅵ㑥㞝㸪㡲Ọ┾୍㸪ᑠᯘ ㄔ㸪ᑠᒇᰤ୍㸪㡲⸨Ᏻᘅ㸪 ᚋ㛩㝯அ㸪ᕝᓥᗣᘯ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪͆➼᪉ᛶCTయ✚ࢹ࣮
ࢱ࠾ࡅࡿᑐഃᛶᕪศᢏ⾡ࢆ⏝࠸ࡓᛴᛶᮇ⬻᱾ሰ᳨ฟࡢࡓࡵࡢࢥࣥࣆ࣮ࣗࢱ ᨭデ᩿㸦CAD㸧㸪͇➨8ᅇ⩌㤿┴MDCT◊✲㸦2008.8㸪⩌㤿㸧
26. 㛗ᓥᏹᖾ㸪ୗᕝ㈼㸪ᚋ⸨ஂ㸪ᕝᓥᗣᘯ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪
͆ᛴᛶᮇ⬻᱾ሰࡢMRIᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧᮲௳⮬ືタᐃࢩࢫࢸ࣒ࡢᵓ
⠏㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨36ᅇ⛅ᏘᏛ⾡㸦2008.10㸪㛗㔝㸧
27. 㛗ᓥᏹᖾ㸪ᚋ⸨ஂ㸪ୗᕝ㈼㸪㡲Ọ┾୍㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪
͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧᮲௳タᐃἲ㛵ࡍࡿ୍⪃
㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨36ᅇ⛅ᏘᏛ⾡㸦2008.10㸪㛗㔝㸧
28. 㛗ᓥᏹᖾ㸪ୗᕝ㈼㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᑠᩄ⿱㸪༑ᔒᆒ㸪ᅵ㑥㞝㸪
͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ᣑᩓᙉㄪ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪ⮬ືㄪ⠇ࢩࢫࢸ࣒㸪͇
᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨56ᅇ㛵ᮾ㒊◊✲Ⓨ⾲㸦2010.2㸪ᒣ㸧
29. 㛗ᓥᏹᖾ㸪㰻⸨᱈ຍ㸪༑ᔒᆒ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᅵ㑥㞝㸪ᚋ㛩㝯அ㸪 㡲Ọ┾୍㸪͆ᛴᛶᮇ⬻᱾ሰࡢ MRI ぢࡅࡢᣑᩓಀᩘ⏬ീ࠾ࡅࡿ⾲♧㝵ㄪ⮬
ື⤫୍ࢩࢫࢸ࣒ࡢ㛤Ⓨ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 57 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲
㸦2011.2㸪ᇸ⋢㸧
30. 㛗ᓥᏹᖾ㸪ᒾᓮ㝯ྐ㸪ⓑ▼᫂ஂ㸪బ⸨ 㸪᰿ᓊ ᚭ㸪ᑠᩄ⿱㸪ᅵ㑥㞝㸪
͆⬻ CT ⏬ീࡢ㉸పࢥࣥࢺࣛࢫࢺ᳨ฟ⬟࠾ࡅࡿ࢘ࣥࢻ࢘ᖜࡢᙳ㡪㛵ࡍ
ࡿࢩ࣑࣮ࣗࣞࢩࣙࣥㄪᰝ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨ 57 ᅇ㛵ᮾ㒊◊✲Ⓨ⾲
㸦2011.2㸪ᇸ⋢㸧
31. 㛗ᓥᏹᖾ㸪▼⏣┤ဢ㸪ⓑ▼᫂ஂ㸪బ⸨ 㸪᰿ᓊ ᚭ㸪ᑠᩄ⿱㸪ᅵ㑥㞝㸪
͆⬻CT⏬ീࡢ㉸పࢥࣥࢺࣛࢫࢺ᳨ฟ⬟࠾ࡅࡿᵓᡂFOVࡢᙳ㡪㛵ࡍࡿ
ࢩ࣑࣮ࣗࣞࢩࣙࣥㄪᰝ㸪͇᪥ᮏᨺᑕ⥺ᢏ⾡Ꮫ➨67ᅇ⥲Ꮫ⾡㸦2011.4㸪
⚄ዉᕝ㸧
32. 㛗ᓥᏹᖾ㸪㡲Ọ┾୍㸪ᚋ㛩㝯அ㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪༑ᔒᆒ㸪͆㢌㒊CT࣭
MRI⏬ീࡢ⃰ῐሗ㛵ࡍࡿ᪂ࡓ࡞⏬ീホ౯ᣦᶆࡢ≉ᛶホ౯㸪͇ᖹᡂ23ᖺᗘ 㛵ᮾ⏥ಙ㉺デ⒪ᨺᑕ⥺ᢏᖌᏛ⾡㸦2011.10㸪ᒣ㸧
33. 㛗ᓥᏹᖾ㸪ᆏᮏ㔛⣪㸪ୗ℩ᕝṇᖾ㸪బ⸨ 㸪᰿ᓊ ᚭ㸪ⓑ▼᫂ஂ㸪ᅵ㑥 㞝㸪͆X⥺CT⏬ീ࠾ࡅࡿ᭱ᑠࢥࣥࢺࣛࢫࢺಙྕࡢ㆑ูྍ⬟࡞㝵ㄪᩘࡘ࠸