LnRiLWZpZWxke21hcmdpbi1ib3R0b206MC43NmVtfS50Yi1maWVsZC0tbGVmdHt0ZXh0LWFsaWduOmxlZnR9LnRiLWZpZWxkLS1jZW50ZXJ7dGV4dC1hbGlnbjpjZW50ZXJ9LnRiLWZpZWxkLS1yaWdodHt0ZXh0LWFsaWduOnJpZ2h0fS50Yi1maWVsZF9fc2t5cGVfcHJldmlld3twYWRkaW5nOjEwcHggMjBweDtib3JkZXItcmFkaXVzOjNweDtjb2xvcjojZmZmO2JhY2tncm91bmQ6IzAwYWZlZTtkaXNwbGF5OmlubGluZS1ibG9ja311bC5nbGlkZV9fc2xpZGVze21hcmdpbjowfQ==
LnRiLWhlYWRpbmcuaGFzLWJhY2tncm91bmR7cGFkZGluZzowfQ==
Um9ib3RvOnJlZ3VsYXIsNzAwLDMwMA==
 .tb-container .tb-container-inner{width:100%;margin:0 auto} .wp-block-toolset-blocks-container.tb-container[data-toolset-blocks-container="e61a64d295706b5905bc3be92ed86e4b"] { border-radius: 8px;background: rgba( 243, 242, 242, 1 );padding: 48px; } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] { grid-template-columns: minmax(0, 0.735fr) minmax(0, 0.265fr);grid-column-gap: 76px;grid-row-gap: 0px;grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="9b97cf110b220d9fa39ed332dd9a6f8c"] { margin-left: 4px;display: flex; } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="9b97cf110b220d9fa39ed332dd9a6f8c"] p { line-height: 3px; } .tb-field[data-toolset-blocks-field="dfa6bb20d23ade5d44128037c2087b7d"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px; }  .tb-field[data-toolset-blocks-field="31537f64838810a0b8f9030d23a1eebd"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-bottom: 6px; }  .tb-field[data-toolset-blocks-field="1486cee24b651bcac937c79e6155c9bf"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-bottom: 6px; }  .tb-field[data-toolset-blocks-field="24bd4910ab3d07fdd44f628d9947393a"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-bottom: 6px; }  .tb-field[data-toolset-blocks-field="031c5e5a15849a827dcb09445b9564dd"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-bottom: 6px; }  .tb-field[data-toolset-blocks-field="4b115832581cb6288c620bbff21fb844"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-top: 0px;padding-bottom: 6px;margin-top: 0px; }  .tb-field[data-toolset-blocks-field="29d76ce207d419a012efb65b8acefd03"] { font-size: 13px;font-family: Roboto;font-weight: regular;line-height: 16px;padding-top: 0px;padding-bottom: 6px;margin-top: 0px; }  h4.tb-heading[data-toolset-blocks-heading="aad2c857f9e298945c7ae5d9c5c8c480"]  { font-size: 22px;font-family: Roboto;font-weight: 300;line-height: 24px; }  .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} .tb-button[data-toolset-blocks-button="c96b78e58d378dbd8572eea39aeff915"] { text-align: left; } .tb-button[data-toolset-blocks-button="c96b78e58d378dbd8572eea39aeff915"] .tb-button__link { background-color: rgba( 139, 183, 8, 1 );margin-top: 12px;margin-bottom: 24px;font-size: 14px;font-family: Roboto;font-weight: regular; } .tb-field[data-toolset-blocks-field="199679b582a458bcd9da749881546784"] { font-size: 14px;font-family: Roboto;font-weight: regular;line-height: 18px;color: rgba( 47, 59, 64, 1 ); }  .tb-field[data-toolset-blocks-field="32489777632b4dbb178ccac5bcec8fc9"] { font-size: 14px;font-family: Roboto;font-weight: regular;line-height: 18px;color: rgba( 47, 59, 64, 1 ); }  .tb-field[data-toolset-blocks-field="9dab8c396297b53312f204b873cdf568"] { font-size: 22px;font-family: Roboto;font-weight: 300;line-height: 24px; }  .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; } .tb-field[data-toolset-blocks-field="a75a43dc56a7b3852ec5dea68af8c8f5"] { font-size: 16px;font-family: Roboto;font-weight: 700;line-height: 18px;text-transform: uppercase;text-align: initial;color: rgba( 139, 183, 8, 1 ); }  .tb-field[data-toolset-blocks-field="4ed92c8c217915fc11adfd6dd309d904"] { font-size: 36px;font-family: Roboto;font-weight: regular;line-height: 38px;text-align: left;color: rgba( 0, 113, 137, 1 ); }  @media only screen and (max-width: 781px) {  .tb-container .tb-container-inner{width:100%;margin:0 auto}.tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] { grid-template-columns: minmax(0, 0.5fr) minmax(0, 0.5fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="9b97cf110b220d9fa39ed332dd9a6f8c"] { display: flex; }         .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em}   .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; }    } @media only screen and (max-width: 599px) {  .tb-container .tb-container-inner{width:100%;margin:0 auto}.tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="83e4f9368be67e17ef7cf73b12562c1d"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="9b97cf110b220d9fa39ed332dd9a6f8c"] { display: flex; }         .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em}   .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; }    } 
MRT baserad 3D rekonstruktion av ryggraden. Optimering för digitala planerings och guidesystem
VÄSTRA GÖTALANDSREGIONEN
En ny icke-strålningsbelastande metod för precisionsmedicin för benavbildning inom kirurgisk ortopedi
Syftet är att utveckla och validera en ny icke-strålningsbelastande metod för precisionsmedicin för benavbildning inom kirurgisk ortopedi där MRT-teknik används i klinisk rutindiagnostik och för kirurgisk planering- och navigeringssystem för kirurgi i kombination med artificiell intelligens (AI). Projektet avser att utveckla ett system som gör det möjligt att använda magnetisk resonanstomografi (MRT) stället för traditionell röntgen för att få fram bildunderlag till ortopediska operationer. Därmed kan skadlig röntgenstrålning undvikas för såväl patienter som vårdpersonal, då flera radiologiska undersökningar ersätts av en icke-strålningsgenererande metod. Med MRT blir också mer data tillgänglig för ortopeder, vilket ger bättre diagnoser, mer korrekta ingrepp och färre re-operationer. Det ökar patientflödet och ger en effektivare och säkrare vård till en lägre kostnad för vårdgivaren.
Syftet är att utveckla och validera en ny icke-strålningsbelastande metod för precisionsmedicin för benavbildning inom kirurgisk ortopedi där MRT-teknik används i klinisk rutindiagnostik och för kirurgisk planering- och navigeringssystem för kirurgi i kombination med artificiell intelligens (AI).
PROJEKTFAKTA
KATEGORI:
Precisionsmedicin
KOORDINATOR:
VÄSTRA GÖTALANDSREGIONEN
PROJEKTNUMMER:
2022-03472
BIDRAG:
900 000 kr
STARTDATUM:
maj 1, 2023
SLUTDATUM:
april 30, 2025
PROJEKTSTATUS:
Pågående