Blar i Institutt for fysikk på forfatter "Jerome, Neil Peter"
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Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion-weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods
Vidic, Igor; Jerome, Neil Peter; Bathen, Tone Frost; Goa, Pål Erik; While, Peter Thomas (Journal article; Peer reviewed, 2019)Background Diffusion‐weighted MRI (DWI) has potential to noninvasively characterize breast cancer lesions; models such as intravoxel incoherent motion (IVIM) provide pseudodiffusion parameters that reflect tissue perfusion, ... -
Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model
Andreassen, Maren Marie Sjaastad; Rodriguez-Soto, Ana; Conlin, CC; Vidić, I; Seibert, TM; Wallace, AM; Zare, S; Kuperman, J; Abudu, B; Ahn, GS; Hahn, M; Jerome, Neil Peter; Østlie, Agnes; Bathen, Tone Frost; Ojeda-Fournier, H; Goa, Pål Erik; Rakow-Penner, Rebecca; Dale, AM (Peer reviewed; Journal article, 2020)Purpose: Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from ... -
Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm 2 range: quality of fit and classification accuracy for different representations
Vidic, Igor; Egnell, Liv Elisabet; Jerome, Neil Peter; White, Nathan; Karunamuni, Roshan; Rakow-Penner, Rebecca; Dale, Anders M.; Bathen, Tone Frost; Goa, Pål Erik (Peer reviewed; Journal article, 2020)Purpose To evaluate different non‐Gaussian representations for the diffusion‐weighted imaging (DWI) signal in the b‐value range 200 to 3000 s/mm2 in benign and malignant breast lesions. Methods Forty‐three patients ... -
Restriction spectrum imaging with elastic image registration for automated evaluation of response to neoadjuvant therapy in breast cancer
Andreassen, Maren Marie Sjaastad; Loubrie, Stephane; Tong, Michelle W.; Fang, Lauren; Seibert, Tyler; Wallace, Anne M.; Zare, Somaye; Ojeda-Fournier, Haydee; Kuperman, Joshua; Hahn, Michael; Jerome, Neil Peter; Bathen, Tone Frost; Rodríguez-Soto, Ana E.; Dale, Anders; Rakow-Penner, Rebecca (Peer reviewed; Journal article, 2023)Purpose: Dynamic contrast-enhanced MRI (DCE) and apparent diffusion coefficient (ADC) are currently used to evaluate treatment response of breast cancer. The purpose of the current study was to evaluate the three-component ... -
Stromal collagen content in breast tumors correlates with in vivo diffusion-weighted imaging: A comparison of multi b-value DWI with histologic specimen from benign and malignant breast lesions
Egnell, Liv Elisabet; Vidic, Igor; Jerome, Neil Peter; Bofin, Anna M.; Bathen, Tone Frost; Goa, Pål Erik (Journal article; Peer reviewed, 2019)Background:Increased deposition and reorientation of stromal collagenfibers are associated with breast cancer progres-sion and invasiveness. Diffusion-weighted imaging (DWI) may be sensitive to the collagenfiber organization ... -
Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
Vidic, Igor; Egnell, Liv; Jerome, Neil Peter; Teruel, Jose Ramon; Sjøbakk, Torill Eidhammer; Østlie, Agnes; Fjøsne, Hans Erikssønn; Bathen, Tone Frost; Goa, Pål Erik (Journal article, 2017)Background Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and ...