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A review of scatter correction methods for three-dimensional positron emission tomography

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94ѐ8͡23͟צந 94ѐ9͡27࣒͟Լ 94ѐ9͡28͟ତצΏྶ

ᓑඛˠĈӓڔ౾̀ έ̚ξ406Δ͏ડ ֧̄ ̄ޒ11ཱི ̚έࡊԫ̂ጯٸडԫఙր

࿪ྖĈ0928246662 ็ৌĈ(03) 4891792 ࿪̄ܫቐĈ[email protected]

(PET)

septa

(coincident events)

50% PET

ᙯᔣෟĈ

८̄ᗁᄫ2005;18:225-233

݈֏

ᐌ ඾ Ϡ ᗁ ̶ ̄ ᇆ ည ۞ ൴ ण Ă ϒ ̄ ࿪ ཝ ᕝ ᆸ ౄ ᇆ

(positron emission tomography; PET) Яࠎ׍౯੼ីୂޘᄃ

ؠณਕ˧Ăдன̫८̄ᗁጯ̏̚ҫѣࢦࢋ̝гҜĄϒ̄

࿪ཝᕝᆸౄᇆ۞ؠณপّਕឰᇆညࢦޙޢ̝វ৵ࣃ΃ܑ

߿វ̚Ԋొٸडّ८჌፧ޘ۞඗၆ณĂ่̙Ξϒቁ۞ቁ

ܲ׎ۏநຍཌྷ֭೩ֻᓜԖ۞ˠវྤੈĂՀΞӀϡᇾᆽᘽ ۏдវ̰ᐌ඾ॡԔត̶̼̝ҶĂෞҤ׎ᘽநણᇴĂͽΐ

ిາᘽ۞ฟ൴Ą൒҃ĂϤٺϒ̄࿪ཝᕝᆸౄᇆߏӀϡ௑

Ъ (coincidence) ઍീ۞ࣧநֽјညĂ׎̚хдధкሕд ણᇴ኏ᑝPETณീ۞໤ቁّĂ఺ֱЯ৵Β߁ઍᑭጡ۞൑

ຏॡมड़ᑕ (dead time effect) ౄј۞ࢍᇴதຫεăઍᑭጡ ड़தត̼ăਕ඄̂̈నؠăᐌְ፟Іड़ᑕă௡ᖐ਽ഴड़ ᑕᄃ೸डड़ᑕඈĄ

ϒ̄дវ̰ᄃ࿪̢̄໑யϠ511 keV۞Ѝ̄Ă౵Ξਕ ᄃ௡ᖐயϠ۞Ϲ̢үϡߏ૵೼ӌ೸ड (Compton scatter-

ing)ĂЍ̄ົᖼொొЊਕณග௡ᖐ̚۞࿪֭̄ͷயϠ֎ޘ

۞ઐԶĄ௑ЪְІܮ̙Г၆ᑕٺࣧώ۞਽តҜཉĂซ҃

ౄј८჌Ҝཉ۞᏾ҤĂࢫҲ˞ؠณ۞໤ቁّĄѩγĂॲ ፂҹֽЯů̥ࡊ (Klein Nishina) ̳ё [1]Ă༊೸डЍ̄ઐ Զ֎ޘ̈ٺ45ޘॡĂΞਕΪᖼொ115 keV۞ਕณග̟аྯ

࿪̄Ă̪֭ܲѣ396 keVĄފٺPETઍᑭጡ۞ਕณྋژޘ ࢨט (15%~30% FWHMд511 keV)â࣎Βӣ೸डүϡ

۞௑ЪְІޝΞਕ̪൒జ͹ਕ඄ (350~650 keV) ତצĂЯ ѩĂ̙टٽӀϡਕ඄̶ֽ࿣೸ड௑ЪְІᄃϏ೸डְ

ІĂซ҃ౄјᇆညݡኳ۞ሀቘᄃؠณ໤ቁޘ۞ࢫҲĄ дٙତќז۞௑ЪְІ̝̚Ă૵೼ӌ೸डٙҫ۞ͧ

ּჍࠎ೸ड̶தĂ׎̂̈פՙٺᇴ࣎ણᇴĂΒӣ೸डۏ វ۞̂̈ᄃ૜ޘăPETବೡጡ۞ೀңඕၹăਕ඄ቑಛ ඈĄ˟ჯPET۞೸ड̶தࡗࠎ15% (ѣinter-slice septa)Ă Ӏϡseptaֽ֨ͤҋ׎΁πࢬ۞೸डԛј୆Ш۞LOR (line

of response)ĂЯѩਕѣड़ࢫҲ೸डְІĂҭ˵࠹၆ᜁࠗ

˞͹ࢋְІ۞ីୂޘĄܕѐֽࠎ˞ᆧΐր௚ីୂޘĂ૱

૟septa྅ཉொੵĂͽᕜפྭπࢬ (cross plane) ۞͹ࢋְ

ІĂჍࠎˬჯሀёĂ׎೸ड̶த˘ਠౌ੼྿30~50%

(2)

[2]Ăٙͽдˬჯϒ̄࿪ཝᕝᆸౄᇆր௚̚Ăтңѣड़ঐ

ੵ೸डְІࠎԼචޢᜈ۞ؠณඕڍ۞ࢦࢋᙯᔣĄ

೸डᒣϒ

ᔵ൒ೡ̢ࢗ໑Ѝ̄யϠ૵೼ӌ೸ड۞ۏநপّᅲࠎ ኑᗔĂҭѣೀ࣎LOR۞পّΞͽϡֽෞҤ׎೸ड̶ҶĂ

֭೩ֻ೸डᒣϒ۞ΞਕّĈ(1) дۏវγLORٙ੃ᐂז۞

ְІᇴкࠎ೸डְІĂЯࠎ͹ࢋְІ (primary event) ԛ ј۞LOR˘ؠົజԊࢨдۏវ̰ (઄నᐌְ፟І̏གྷజ

ொੵ)ć(2) ೸ड̶Ҷߏ˘࣎ត̼ቤၙ۞בᇴĂͷ̙׍۩

มྤੈć(3) дਕᙉ̚ĂҲٺ͹ࢋਕ඄ਕณ۞ְІ̂ొ̶

ࠎ೸डְІć(4) ೸डְІࡶརд͹ਕ඄̰ĂкΗֽҋಏ Ѩ೸डĄॲፂ఺ֱ̙Т۞পّࢉϠ΍ЧёЧᇹ۞೸डᒣ ϒ͞ڱĂ͹ࢋડ̶ࠎ׌̂ቑᘞĈ(1) ॲፂٙ଀Ըᇆྤੈ࿰

ീ೸ड̶ҶĂּтĈ̰೧૜Ъڱ (curve fitting method)ă ਕ඄ૄغڱ (energy-baesd method)ăଡ᎕ഴᖴڱ (convo-

lution subtraction method)ć(2) ͽࢦޙޢᇆညࠎૄᖂ۞೸

ड࣒ϒڱĂּтĈሀё᎕غڱ (model-based method)ăࢦ ޙૄغڱ (reconstruction-based method)Ą

ѩγĂܕѐֽԧࣇࡁ൴΍डՁܡጿ྅ཉڱ (beam-

stopper method) ͽซҖ೸डᒣϒĄѩᄃ݈ࢗ͞ڱ͹ࢋम

ளдٺՐ΍೸ड̶Ҷ۞ԫఙ̙ТĂᖰ̶ࢗтޢĄ

̰೧૜Ъڱ

ѩᙷ೸डᒣϒڱ [3,4] ߏӀϡԸᇆྤफ़̚ۏវγ೸ड

۞ณͽᑢЪྋژ͞඀ёĂтFigure 1ٙϯĂͽ˟Ѩкีё

ٕߏ੼೻̳ёֽᑢЪᙝቡ۞೸डԍ͐ (Ps

)Ąѩڱ͹ࢋߏ

ॲፂ၁ᅫ۞៍ീྤफ़ (Pobs

)Ă֭઄నдۏវγజ੃ᐂ۞௑

ЪְІБొౌֽҋٺ೸ड (઄నᐌְ፟І̏ԆБజொੵ

۞݈೩˭)Ă֭ͷ೸ड̶Ҷࠎ˘ҲᐛבᇴĄѩ͞ڱਕѣड़

࣒ϒֽҋFOV (field of view) γ۞೸ड੒ᚥĂͷ׍ѣങˢ ᖎಏᄃ੼ࢍზड़த̝ᐹᕇĄ͹ࢋ৿ᕇࠎ೸ड̶Ҷ̙֍଀

Ξͽϡπ໣۞בᇴֽܕҬĂ͍׎д਒ටౄᇆĂ௡ᖐ૜ޘ ត̼ܧ૱̂ĂΞਕົ੼ҤٕҲҤ೸डְІĄΩ˘࣎યᗟ дٺ਒ొବೡॡĂ֗វҫፂFOV̰ྵ̂۞ቑಛĂጱ࡭೸

डԍ͐࠹၆ޝ̙̈҃ٽᑢЪĂЯѩౄј֗វ͕̚೸डณ

ෞҤ۞̙໤ቁĄ̰೧૜ЪڱΞͽѣड़ᑕϡٺᐝొPETࡁ տĂЯࠎᐝొౄᇆ׍ѣҫፂFOV̰̈ቑಛ̝পّĂΞቁ

ܲۏវγ۞೸डԍ͐ົᔌܕٺ࿬Ą

ਕ඄ૄغڱ

ТՎќפкਕ඄ྤੈ۞ԫఙ̏ᇃھϡٺಏЍ̄࿪ཝ ᕝᆸ (single photon emission tomography; SPECT) ౄᇆĄ

఺ᙷݭ۞͞ڱ [5-9] Ӏϡ̙Тਕ඄ม۞ྤੈͽ࿰ീ೸डְ

Іᄃ͹ࢋְІĂ֭ͷ઄న۩ม̙̚Тਕ඄۞ࢍᇴࣃѣ඾

׽ؠּͧĄдPET̚Ăਕ඄ૄغڱ͹ࢋ̶ࠎ׌჌ԫఙĈ

DEW (dual-energy window) ͞ڱֹϡ˘࣎Ҳٺ͹ਕ඄۞

૵೼ӌਕ඄Ă҃ETM (estimation of trues method) ͞ڱֹ

ϡΩ˘࣎నཉд͹ਕ඄̝̚۞੼ਕ඄Ă఺ֱ͞ڱౌֹϡ ᗝγਕ඄۞ീณࣃͽෞҤд͹ਕ඄̚۞೸ड੒ᚥĄ

DEW [5-6]

͞ ڱ ̚ Ă д ͹ ਕ ඄ ̚ ۞ Ϗ ೸ ड ְ І

UEunsc ؠཌྷт˭Ĉ

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тFigure 2 (A) ٙϯĂ׎̚UE׶LE̶Ҿ΃ܑ͹ਕ඄

(photopeak window) ᄃҲਕ඄ (lower window)ĂR

scࠎ׌ਕ

඄̚೸डְІ۞ּͧ (LEsc

/UE

sc

)ĂR

unscࠎ׌ਕ඄̚Ϗ೸ड

ְІ۞ּͧ (LEunsc

/UE

unsc

)ćѩ˟ણᇴߏӀϡቢड໚ٕᕇड

໚дͪ઄វ۞၁រ̚Ր଀Ą၁រ̚Ξͽ៍၅זRunscд

transaxial FOV̚ೀͼࠎ˘૱ᇴĂ҃R

sc݋ѣྵ̂۞ត̼Ą дaxial͞ШĂϤٺઍᑭ๴ೀңඕၹ۞યᗟĂRunscᄃRsc࠰ࠎ

̙Ӯ̶̹ҶĄд˘ؠ۞ቑಛ̰Ă఺ֱּͧᄃۏវ̂̈൑

ᙯĂЯѩΞͽְА੫၆পؠ۞PETବೡᆇซҖሀᑢĄ൒

҃Ăдྵ̂ۏវ۞ౄᇆ̚ĂRscдradial͞Шត̼ྵ̂Ăౄ

јۏវγಛ۞೸डְІົజ੼ҤĂЯѩ੫၆ྵ̂۞ۏវ

ֹϡ׽ؠ۞RscࣃĂּт਒ටౄᇆĂΞਕ̙ዋ༊ĄѩγĂ

Scatter tail

Projection

Object boundary

Counts

Figure 1. Curve fitting method

(3)

ϤٺRscᄃۏវ۞਽ഴܼᇴѣᙯĂѩ͞ڱ၆ܧӮ̹ۏኳϺ

൑ڱઇዋ༊۞ᒣϒĄ

ETM͞ڱ [7] ઄నдߙ࣎ਕณ⼈ࣃͽ˯జ੃ᐂ۞௑

ЪְІΪΒӣϏ೸डְІĄѩ઄నߏЪந۞ĂЯࠎֹϡ

BGO೿វ۞PETବೡጡĂ༊ਕณࠎ511 keVॡĂ׎ਕณྋ

ژޘࡗࠎ20%ĄETM͞ڱ۞ֹϡĂтFigure 2 (B) ٙϯĂ ᗝγ۞੼ਕ඄నؠд550Ҍ650 keV̝มĂ֭ͷᄃ͹ࢋਕ

඄ (350-650 keV) ۞ਕณቑಛొ̶ࢦᝑĄ׎̳ёؠཌྷт

˭Ĉ

(2)

Ӏϡд੼ਕ඄ٙפ଀۞ࢍᇴࣃࢷ˯˘ּͧЯ̄ޢĂ ΞՐ଀ৌ၁௑ЪְІ۞࿰ീࣃĂГӀϡ͹ਕ඄ࢍᇴࣃᄃ

࿰ീ۞ৌ၁௑ЪְІᇴ࠹ഴĂགྷ࿅π໣ᕭጡ (smooth fil-

ter) ఍நͽࢫҲϒ୊ဦ (sinogram) ˯۞௚ࢍᄱमĂΞ଀׎

೸ड̶ҶĄ׎̚fࠎּͧЯ̄Ă׎ᄃLORăઍᑭጡϲវ

֎ăਕ඄ቑಛѣᙯĂ҃ᄃड໚̶Ҷ൑ᙯĂЯѩΞְАՐ

଀Ąਕ඄ૄغڱ۞͹ࢋр఍дٺΞͽ҂ᇋֽҋFOVγ۞

೸ड੒ᚥĂтڍֹϡдਕณྋژޘՀр۞೿វ˯Ăּт

LSOĂѩڱᑕྍਕ଀זՀр۞ड़ڍĄਕ඄ૄغڱ͹ࢋ۞

৿ᕇдٺॲፂ˪ڗ (Poisson) ീณ۞ඕڍซҖ೸डࢍზΞ ਕົ͔ˢޝкᗔੈĂ͍׎ߏдજၗౄᇆٕߏࢍᇴࣃѣࢨ

۞ଐڶ˭Ą

୊᎕ഴᖴڱ

࠹၆ٺਕ඄ૄغڱଂᗝγ۞ീณ̚ଯኢ΍೸डྤ

ੈĂ୊᎕ഴᖴڱ (convolution subtraction methodĂᖎჍ

CVS) [2,10-12] ݋઄న೸ड८͕ᄃۏវ̂̈ͽ̈́߿ޘ̶Ҷ

൑ᙯ۞݈೩̝˭Ă೸ड̶ҶΞۡତӀϡ˘࣎ᇾ໤۞͹ਕ

඄Ըᇆྤੈᄃ೸ड८͕ү୊᎕ᖼೱՐ଀Ąѩ͞ڱ੓ܐֹ

ϡٺᒖё2D PET̚Ăдߙ˘࣎পؠ̷ࢬ۞೸डԸᇆ̶Ҷ Ξϡ˘ჯ୊᎕̳ёܑϯĈ

(3)

тFigure 3ٙϯĂ׎̚Punࠎ͹ࢋְІ۞˘ჯԸᇆćk ࠎᄃ۩ม࠹ᙯ۞೸ड८͕בᇴ (scatter kenel) ΞӀϡٸཉ ቢड໚ٺ઄វ̰̙ТҜཉՐ଀Ąҭߏ̳ё (3) д၁ү˯

ѣ׎ӧᙱĂЯࠎԧࣇ൑ڱפ଀Pun۞ྤੈĄٙضԧࣇΞͽ

ֹϡീณࣃPobsͽפ΃̳ё (3) ̚۞Pun̪҃Ξჯ޺˘ؠ۞

໤ቁّĄ˘ჯ୊᎕ഴᖴڱ၆ٺ2D PETߏޝ໤ቁ۞ć൒

҃ĂϤٺ3D PET̚FOVγ۞೸डҫ࠹༊۞ּͧ [13]ĂЯ ѩĂࠎ˞҂ᇋFOVγ۞೸ड੒ᚥĂؼҩؠཌྷ΍˟ჯ೸ड ८͕בᇴĂ֭ͷ੫၆Ըᇆྤफ़ેҖ˟ჯ୊᎕т˭Ĉ

(4)

׎̚Ըᇆྤੈᄃ೸ड८͕בᇴؠཌྷࠎradialᄃaxial׌

࣎͞ШĂ ΃ܑ˟ჯ୊᎕ፆү̄Ą˯ࢗ۞˟ჯ୊᎕ഴᖴ ڱͽᝑ΃ڱΐͽࢍზĂ֭ͷӀϡീณࣃPobs̙ᕝᝑ΃Ҍќ ᑦĂͽҹڇ၁រ̚൑ڱۡତפ଀Punྤੈ۞યᗟćҌٺ೸

ड८͕ТᇹΞͽӀϡᕇٕቢड໚פᇹ҃଀זĄѩ͞ڱ̏

జᙋ၁дᐝొବೡΞயϠ։р۞ᒣϒड़ڍĄ୊᎕ഴᖴڱ дજၗౄᇆ˯׍ѣ࠹༊۞ᐹ๕ĂЯࠎ׎೸डෞҤૄώ˯

ߏ൑ᗔੈ۞Ăٙͽ̙ົ੒ᚥᗝγ۞ᗔੈҌ೸डᒣϒޢ۞

Figure 2. The dual-energy windows set for (A) the DEW method and (B) the ETM method

(4)

Ըᇆྤफ़ĄΩ˘ᐹᕇࠎѩ͞ڱ̙ᅮࢋќะᗝγ۞ਕ඄ྤ

ੈĂЯѩд࿪ཝࢍზ˯Հѣड़தĄ൒҃Ă༊ዎ࿃Հኑᗔ

۞߿ޘ̶ҶĂּт਒ටٕཛొౄᇆॡĂ੓ؕ۞઄నܮ൑

ڱјϲĄࠎ˞Լචѩ˘ዋᑕّ۞৿ᕇĂధкࡁտ࡭˧ٺ ܧ׽ؠّ઄న (non-stationary assumption) ۞ֹϡĂ૟ۏ វ̂̈ă߿ޘ̶Ҷăઍᑭጡϲវ֎ৼˢ҂ᇋĂ൴ण΍Հ ࠎჟቁ۞೸ड८͕ሀݭ [14]ĂЯѩܧ׽ؠّ୊᎕ഴᖴڱ ܮјࠎ˘ໂ׍ሕ˧ͷ΄ˠຏᎸ኷̝ᛉᗟĄ

ሀёૄغڱ

ЯࠎЍ̄дۏኳ̚үϡ۞ۏந፟ט̏జ˞ྋĂԧࣇ ΞᖣϤѩϹ̢үϡ۞পّᄃPETٙפ଀۞ࢦޙᇆညྤ

फ़Ă֭੨Ъᇴࣃ̶ژٕᄋгΙᘲԫఙሀᑢፋ࣎࿅඀ͽࢍ

ზ΍೸ड၆Ըᇆྤफ़۞੒ᚥĂѩᙷݭ۞೸डᒣϒჍࠎሀ ёૄغڱ [15-21]Ą఺ᙷ͞ڱ͹ࢋߏӀϡ͹ਕ඄̚ಏѨ૵

೼ӌ೸डҫፋវ೸डְІ඗̂ొЊ۞পّ (~75%) [14]Ă

֭ Ӏ ϡ ቢ ᎕ ̶ ڱ ͽ ಏ Ѩ ೸ ड ෞ Ҥ ΍ к Ѩ ೸ ड ۞ ณ Ą

Watson [15-17] ያ඾ሀᑢЍ̄۞ዏொĂ൴ण΍ϫ݈జᇃھ

ֹϡ۞Single Scatter Simulation (SSS) ͞ڱĂѩ͞ڱΪ҂

ᇋ׎̚˘̢࣎໑Ѝ̄யϠಏѨ૵೼ӌ೸डĂͽࢍზ΍௑

ЪְІ̚πӮ۞೸ड੒ᚥĄ

SSS

͞ڱᑕϡ˞ҹֽЯů̥ࡊ̳ёͽ̶ᏰՏ˘࣎

LORֽ̚ҋߙ˘̈೸डડા۞੒ᚥĂ֭૟఺ֱ̈೸डᕇ

ͽშॾ͞ё̶Ҷдፋ࣎ۏវ̝̚ĂГᖣϤ఺ֱ೸डᕇ੒

ᚥ۞᎕̶҃Ր΍ಏѨ೸ड۞ᓁณĄдЇຍ˘࣎LOR̚ಏ Ѩ೸ड੒ᚥΞͽӀϡ೸ड८͕ᄃ೸डۏវ۞វ᎕̶Ր

଀Ă̳ёт˭Ĉ

(5)

׎̚

Rscatt΃ܑಏѨ೸डְІҫБొ௑ЪְІ۞ּͧ (ኛણ

҂Figure 4ពϯ̝ೀңඕၹ)ćLOR (෍ቢAB) ߏֽҋಏ˘

೸डᕇSٙౄј۞੒ᚥćVsࠎፋ࣎೸डវ᎕ćneࠎ൴डវ

૜ޘ (emitter density)Ăӈࠎࢦޙ۞emission imagećµࠎ

ّ਽ഴܼᇴĂӈࠎࢦޙ۞transmission imagećEࠎࣧؕЍ Figure 3. The scatter distribution (Ps) calculated using a

scatter kernel (k) convoluting with the photopeak data (Pun) in projection space

Figure 4. The scheme of trajectories of scattered photons in the SSS algorithm

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̄ਕณ (511 keV)ĂE’ࠎ೸डЍ̄ਕณĂΩSࠎ೸ड֎ޘć

σ

Α

σ

ΒࠎઍᑭጡၟࢬĂR1׶R2ܑϯଂ೸डᕇזઍᑭጡ۞

෼ᗓĂઍᑭጡड़த݋ͽ

ε

Α

ε

ΒܑϯĄSSS͞ڱͽ఺ֱણ ᇴሀ௡̼ፋ࣎೸ड࿅඀ĂΞͽ࠹༊ჟቁ۞࿰ീ΍ਕ඄ૄ

غڱ൑ڱෞҤ۞̈֎ޘ೸डĄ

SSS͞ڱ۞͹ࢋ৿ᕇࠎӀϡϏགྷ೸डᒣϒ۞ܐؕᇆ

ညֽࢍზ೸ड̶ҶĂѩܐؕᇆည̏གྷΒӣ˞೸ड۞ઐ मĄྋՙ͞ڱΞӀϡᝑ΃͞ёͽפ଀ќᑦĂซ҃Լචѩ યᗟćҭߏ੫၆ٙѣ೸डᕇ۞ࢦኑᝑ΃ܧ૱ਈ෱ࢍზॡ มĄѩγĂSSS൑ڱ၆୆ШπࢬซҖᒣϒĂ˵൑ڱۡତ

ࢍზֽҋFOVγ۞೸ड੒ᚥĄѣ͛ᚥ၆ѩ೩΍̙Т۞ྋ ՙ͞ڱ [21,22]Ăҭ၆ٺ׍ѣྵ̂axial FOV۞Б֗ౄᇆĂ

SSS͞ڱ۞ֹϡ̪ߏ˘࣎ᅮࢋ޺ᜈᙯڦ۞ᛉᗟĄ

ࢦޙૄغڱ

௚ࢍࢦޙૄغڱ (statistical reconstruction-based scat-

ter correctionĂᖎჍSRBSC) [23]ᄃSSS͞ڱ࠹ТĂ˵Ӏϡ

ࢦޙޢ۞ᇆညүࠎෞҤ೸ड۞ૄᖂĄѩ͞ڱ͹ࢋ۞઄న ߏૄٺԸᇆྤੈ̚۞೸डְІ̂ొ̶ࠎҲᐛٙ௡јĂ҃

д௚ࢍёᝑ΃ࢦޙ۞࿅඀̚ĂҲᐛొ̶ќᑦ۞ిޘ੼ٺ

੼ᐛќᑦిޘ [24]ĂЯѩ೸ड̶ҶΞӀϡ݈ೀѨᝑ΃۞

ܐؕᇆညՐ଀Ą׎̳ёт˭Ĉ

(6)

׎̚fࠎৌ၁߿ޘ̶ҶĂΞડ̶ࠎϤҲᐛᇆညfL׶੼ᐛᇆ ညfHٙ௡јĄӀϡ˯ࢗ઄న۞পّĂ૟˘Ѩᝑ΃ޢ۞ᇆ ည (ֹϡOSEMࢦޙڱ) གྷϤϒШԸᇆٙ଀̝ԸᇆྤੈГ ᄃ೸ड८͕בᇴsrfү୊᎕ᖼೱޢĂΞՐ଀೸ड̶ҶĂ׎

ႊზڱтFigure 5ٙϯĄ

SRBSC͞ڱࣘ׍˘ֱ୊᎕ഴᖴڱ۞পّĂТᇹυื

Ր଀ჟቁ۞೸ड८͕ሀݭĄѩ͞ڱ۞ᐹᕇдٺۡତӀϡ

˘Ѩᝑ΃ࢦޙޢᇆည۞Ըᇆྤੈү୊᎕ᖼೱĂ̙ืт

CVS͞ڱᅮࢋкѨᝑ΃఍நĂЯѩࢍზՀ֝ిĄѩ͞ڱ

ΞͽᔖҺ͔ˢᗝγ۞ᗔੈĂዋЪᑕϡٺҲ߿ޘౄᇆĄ൒

҃ĂSRBSC͞ڱ۞৿ᕇϺтCVS͞ڱĂ༊ዎ࿃זኑᗔ۞

ۏវॡΞਕ൑ڱ໤ቁ࿰ീ΍೸ड̶ҶĂЯ҃ѣυࢋ൴ण

΍ܧ׽ؠ೸डሀݭĄѩγĂ၆ٺFOVγ೸डҫ˘ؠּͧ

̝͕᝙ବೡᄃБ֗ౄᇆĂSRBSC͞ڱ൑ڱ҂ᇋזFOVγ

ֽ۞೸डְІĂ̪ޞྋՙĄ

डՁܡጿ྅ཉڱ

डՁܡጿ྅ཉڱ (beam stopper device methodĂᖎჍ

BS) [25]Ăࠎԧࣇ၁រވܕೀѐ۞ࡁտјڍĄܡጿጡߏӀ

ϡ੼ࣧ̄Ԕ۞ۏኳٙ௡јĂтFigure 6 ( A) ٙϯĂ૟ܡጿ ጡཉٺޞീۏវ׹ಛĂд̙ᇆᜩ೸डЍ̄ซˢઍᑭጡ۞

઄న୧І˭Ăܡጿጡົͽ˘ؠ۞ּͧ਽ഴ͹ࢋЍ̄ĄӀ ϡѣ൑ٸཉѩडՁܡጿ྅ཉ۞मளĂ೸ड۞ณٕߏ೸ड

̶தΞͽۡତଂజܡጿ۞LOR̚Ր଀Ă̳ёт˭Ĉ

(7)

׎̚SăP̶Ҿܑϯࣧؕੈཱི̚೸डొЊᄃ͹ࢋडՁొ

ЊĂCRܑϯ̙ӣडՁܡጿ྅ཉ۞ౄᇆ̚LOR (t,

θ ) ˯۞ࢍ

ᇴࣃĂCBܑϯӣडՁܡጿ྅ཉ۞ౄᇆ̚LOR (t,

θ ) ˯۞ࢍ

ᇴࣃĄӀϡѣ൑ܡጿ྅ཉ۞۩ঈବೡ (air scan) ၁រĂӈ Ξീ଀ࡍ౅Ѻ̶ͧTࣃĂᖣѩࢍზ΍˯̳ࢗё̚ᑫ๴྅

ཉפᇹᕇti˯۞೸डྤੈĄ઄న೸ड۞۩ม̶Ҷߏቤၙត

̼۞בᇴĂԧࣇΞͽӀϡcublic splinḛ೧ڱՐ଀дϒ୊

ဦ̚ፋ࣎೸ड۞̶ҶтFigure 6 (B) ٙϯĄ

Figure 5. The flow chart illustrating the general principle of the SRBSC algorithm

(6)

BS

͞ڱ۞ᐹᕇࠎࢍზԣిĂ֭ͷΞۡତീณֽҋ

FOVγ۞೸ड੒ᚥĂ၆ٺྵኑᗔ۞ۏវᄃ̙Ӯ̹۞߿ޘ

̶ҶĂBS͞ڱౌΞ྿ז։р۞ᒣϒड़ڍĄBS͞ڱ۞͹ࢋ

৿ᕇࠎडՁܡጿ྅ཉώ֗ϺΞਕౄј೸डְІ۞਽ഴĂ ซ҃ౄј೸ड௑ЪְІ۞੼ҤĂ̙࿅఺࣎৿ᕇΞགྷϤ౵

ָ̼डՁܡጿጡ۞̂̈ᄃᇴϫΐͽҹڇĄԧࣇགྷϤԼត

̙ТܡጿጡΗशᄃᇴϫ۞௡ЪĂ൴னܡጿጡ۞Ηश෸

̈Ă೸डᒣϒ۞ඕڍ෸рĂ੫၆۱ొ۞ˠݭ઄វ҃֏Ă

16࣎Ηश3̳ᗃ۞ܡጿጡΞͽயϠ౵໤ቁ۞ᒣϒඕڍĄѦ

ᚗ઄វ (Zubal phantom) ۞ᒣϒඕڍтFigure 7ٙϯĄ

੅ኢ

ტЪЧ჌೸डᒣϒڱ۞ᐹКΞͽ൴னĂ೸डᒣϒٙ

ਕ྿ז۞໤ቁޘᄃ׎ᑕϡ૟פՙٺޞീۏវ۞̂̈ᄃ૜

ޘăۏវ̰߿ޘ̶Ҷăઍᑭጡ۞ԛёăਕ඄ቑಛͽ̈́פ ᇹሀё҃ѣ̙Т۞ܑனĄдཝొବೡ̚ĂϤٺᐝొ۞਽

ഴܼᇴត̼࠹၆ྵ̈ᄃٙҫFOVቑಛྵ̈۞পّĂֹ଀

೸डᒣϒྵࠎटٽĂٙѣᒣϒڱٙ଀ז۞ඕڍ˵ྵࠎ໤

ቁĄҭߏ၆ٺ਒ొᄃཛొବೡ҃֏Ăੵ˞ТҜ৵̶Ҷ̙

Ӯ̹γĂ௡ᖐ૜ޘ۞मளĂ˵ౄј೸डᒣϒ۞ӧᙱĂ఺

͞ࢬሀёૄغڱ̏జរᙋਕѣड़۞ொੵ೸डѳߖĂҭߏ ҡᐌֽ҃۞̂ณྻზ˵ឰ఺ֱӀϡᝑ΃ёႊზڱ۞ᓜԖ ᑕϡ΍ன஬ᐚĄ

д3Dפᇹሀё̚ĂFOVγֽ۞೸ड੒ᚥΞ྿זБొ

೸डְІ۞50% [13]Ăѩॡᑕϡ̰೧૜Ъڱᄃਕ඄ૄغ ڱΞѣड़ொੵкѨ೸ड۞੒ᚥĂ൒҃ૄٺᗝγਕ඄۞ྤ

फ़఼૱ົҡᐌ඾ᗝγ۞ᗔੈĂ఺ᙷ͞ڱྵ̙ዋЪᑕϡд Figure 6. (A) For each projection angle, the primary events

are blocked at several radial bins. (B) The scatter distribution (dotted line) is interpolated based on the scatter components (solid arrow) estimated at those blocked bins.

Figure 7. The reconstructed images of the Zubal phantom. (A) The reference image used as input to the simulator, (B) uncor- rected image, and (C) image corrected by the BS method

(7)

જၗౄᇆ˯ĄBS͞ڱტЪ˞˯ࢗ۞ᐹᕇĂੵ˞Ξͽᑕϡ ٺྵ̂ͷྵኑᗔ۞ۏវౄᇆ˯Ă၆ٺFOVγֽ۞೸डѳ ߖ˵ΞͽΐͽொੵĂЯѩĂ೩ֻ˞໤ቁ೸डᒣϒ۞Ξਕ

ّĄ

ܕѐֽ੫၆ϒ̄࿪ཝᕝᆸؠณ۞υᅮّĂቁ၁͔൴

˞˘ֱ੅ኢ [26]ĂӀϡߴ-18ซҖ඗၆ؠณੵ˞צࢨٺొ

Њវ᎕ (partial volume) યᗟͽγĂՀᅮࢋࢬ၆ኑᗔ۞ᒣ ϒՎូĂֹ଀඗၆ؠณдᓜԖ˯۞ᑕϡ̙ٽଯҖĂϫ݈

кΗ˵Ϊϡٺߴ-18-FDGᇾ໤ӛќࣃ (standard uptake

value)

۞ෞҤĄѩγĂࡁտඕڍϺពϯ඗၆ؠณᄃӎĂ

̙֭ົᇆᜩᒛা۞ડ̶ᄃҿؠ [27]Ăҭߏ၆ٺ˘ֱপঅ ८჌۞ᑕϡᄃߴ-18-FDG۞࠹၆ؠณ (ᇆညᇴࣃϒͧٺߙ

˘តᇴ)ĂᓜԖ˯ᔘߏ׍ѣ˘ؠ۞ຍཌྷхдĂּтĈֹϡ Ḳ-86 (86

Y) ۞඗၆ؠณͽ໤ቁෞҤḲ-86 (

90

Y) ۞ТҜ৵ڼ

ᒚ጗ณ [28]Ă൒҃՟ѣ೸डᒣϒυ൒̙Ξਕ྿זѩ˘ϫ

۞ĄҌٺ೸डᒣϒ၆ٺཚሳઍീத۞೩̿ߏӎ׍ѣड़ ڍĂϫ݈إϏ଀ז˘࡭۞ඕኢĂ੫၆̈ٺ2̶̳۞۱ొᒛ

াĂࡁտඕڍᄮࠎ೸डᒣϒᄃ਽ഴᒣϒΞͽᆧΐઍീத

[29]Ăҭߏ၆ٺྵ̂ཚሳઍീத۞Լត݋̙׍௚ࢍຍ

ཌྷĄ׎΁ཝొౄᇆ۞ࡁտ [30] ඕڍពϯֹϡሀёૄغڱ ቁ၁ֹ଀ߴ-18-FDG۞̶ҶயϠ˞ځព۞मளĂซ҃Ξ ਕົᇆᜩҿ᝝۞ඕڍĄ

ඕኢ

ͧྵЧ჌೸डᒣϒ͞ڱĂΞͽ࠻΍఺̱ᙷ۞ԫఙౌ

Чѣ׎ᐹ৿ᕇĂ఺˵ពϯ΍೸डᒣϒ۞ࢦࢋّᄃ઼ᅫม д೸डᒣϒᅳા˯ٙઇ۞Ӆ˧ĄტЪ˯ࢗᒣϒ͞ڱ̝ᐹ Кᕇâ࣎јሢ۞೸डᒣϒڱᑕྍ׍ѣ˭Е۞পّĈ (1) ਕТॡ఍நFOV̰ᄃγயϠ۞೸डְІć(2) ਕۡତᒣϒ ಏѨ೸डᄃкࢦ೸ड۞੒ᚥć(3) ਕ҂ᇋ̈֎ޘ۞೸डְ

Іć(4) ਕ଀ז໤ቁ۞೸ड̶Ҷᄃ೸ड̶த̶Ҷć(5) ਕ

҂ᇋޞീۏវᄃPETବೡᆇ۞পّć(6) ਕԣిซҖᒣϒ үຽĄ

ϫ݈إ൑Ԇ࡚۞೸डᒣϒڱĂ҃Տ˘჌͞ڱ˵ౌื

ࢋֶፂߙ჌পؠ۞઄న୧І˭̖ਕ྿ז໤ቁ۞ᒣϒඕ ڍĂЯѩ࠹ᙯ۞ࡁտ̪ืᚶᜈซҖĄ೸डᒣϒϏֽ൴ण ᔌ๕Ξ̶ࠎᇴ࣎͞ШĂඕЪ̙Тᙷݭ۞ᒣϒڱၟܜྃ

ൺĂͽՀჟቁ۞ෞҤ೸ड۞̶Ҷߏ˘࣎ΞҖ۞͞ڱĂּ

тĈඕЪBS͞ڱᄃਕ඄ૄغڱͽࢍზ೸ड̶த۞̶ҶĄ ᐌ඾࿪ཝ۞ԣి൴णĂԧࣇΞͽޙၹՀჟ૜۞ણᇴሀݭ

ͽ఍ந೸ड۞યᗟĂּтĈܧ׽ؠ୊᎕ഴᖴڱᄃࢦޙૄ

غڱ۞൴णᄃॲፂࢦޙᇆညࠎૄᖂٙ൴ण΍۞ሀёૄغ ڱĄѩγĂӀϡᕍะ࿪ཝ۞πҖ఍நਕ˧ٺᄋгΙᘲ۞

ӈॡሀᑢ˯Ă૟಼̂۞ᒺൺྻზॡมĂ࠹ܫ̙˳۞૟

ֽĂ੫၆࣎ҾঽˠซҖӈॡᄋгΙᘲሀᑢͽՐ଀೸ड̶

ҶĂΞۡତᑕϡٺᓜԖ۞ˬჯϒ̄࿪ཝᕝᆸౄᇆ˯Ą

ણ҂͛ᚥ

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IEEE Trans Med Imag 1992;11:560-569.

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IEEE Trans Nucl Sci 1997;44:90-97.

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A Review of Scatter Correction Methods for Three-Dimensional Positron Emission Tomography

Jay Wu

1,2

, Hsing-Hon Lin

2

, Keh-Shih Chuang

2

1

Department of Radiological Technology, Central Taiwan University of Science and Technology, Taichung, Taiwan

2

Department of Nuclear Science, National Tsing-Hua University, Hsinchu, Taiwan

Received 8/23/2005; revised 9/27/2005; accepted 9/28/2005.

For correspondence or reprints contact: Jay Wu, Ph.D., Department of Radiological Technology, Central Taiwan University of Science and Technology, 11 Pu-Tzu Lane, Pei-tun District, Taichung 406, Taiwan. Tel: (886)-928246662, Fax: (886)3-4891792, E-mail: [email protected]

Positron emission tomography (PET) offers the possibility of quantitative assessment of tracer concentration in vivo.

Fully 3D PET can achieve higher system sensitivity of coincidence events than the 2D mode, but the absence of inter-slice septa inevitably leads to increased scattered events. The scattered events can contribute as much as 50% of the total detected events. Therefore, accurate correction for the scatter component is necessary for mean- ingful quantitative image analysis and tracer kinetic modeling. A number of scatter correction methods have been proposed and successfully implemented for 3D PET. In this article, we comprehensively reviewed five scatter cor- rection approaches, including curve fitting method, energy-based method, convolution subtraction method, model- based method, reconstruction-based method, and our newly developed beam stopper approach.

Key words: 3D PET, scatter correction, beam stopper device

Ann Nucl Med Sci 2005;18:225-233

數據

Figure 1. Curve fitting method
Figure 2. The dual-energy windows set for (A) the DEW method and (B) the ETM method
Figure 4. The scheme of trajectories of scattered photons in the SSS algorithm
Figure 5. The flow chart illustrating the general principle of the SRBSC algorithm
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