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  1. Article ; Online: An automated methodology for whole-body, multimodality tracking of individual cancer lesions.

    Santoro-Fernandes, Victor / Huff, Daniel T / Rivetti, Luciano / Deatsch, Alison / Schott, Brayden / Perlman, Scott B / Jeraj, Robert

    Physics in medicine and biology

    2024  Volume 69, Issue 8

    Abstract: ... ...

    Abstract Objective
    MeSH term(s) Humans ; Positron Emission Tomography Computed Tomography ; Tomography, X-Ray Computed/methods ; Multimodal Imaging/methods ; Positron-Emission Tomography/methods ; Neuroendocrine Tumors/diagnostic imaging ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2024-04-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad31c6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability.

    Huff, Daniel T / Santoro-Fernandes, Victor / Chen, Song / Chen, Meijie / Kashuk, Carl / Weisman, Amy J / Jeraj, Robert / Perk, Timothy G

    Physics in medicine and biology

    2023  Volume 68, Issue 17

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Positron Emission Tomography Computed Tomography ; Tomography, X-Ray Computed/methods ; Lung Neoplasms ; Lymphoma ; Algorithms
    Language English
    Publishing date 2023-08-28
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/acef8f
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithm.

    Santoro-Fernandes, Victor / Huff, Daniel / Scarpelli, Mathew L / Perk, Timothy G / Albertini, Mark R / Perlman, Scott / Yip, Stephen S F / Jeraj, Robert

    Physics in medicine and biology

    2021  Volume 66, Issue 15

    Abstract: Metastatic cancer presents with many, sometimes hundreds of metastatic lesions through the body, which often respond heterogeneously to treatment. Therefore, lesion-level assessment is necessary for a complete understanding of disease response. Lesion- ... ...

    Abstract Metastatic cancer presents with many, sometimes hundreds of metastatic lesions through the body, which often respond heterogeneously to treatment. Therefore, lesion-level assessment is necessary for a complete understanding of disease response. Lesion-level assessment typically requires manual matching of corresponding lesions, which is a tedious, subjective, and error-prone task. This study introduces a fully automated algorithm for matching of metastatic lesions in longitudinal medical images. The algorithm entails four steps: (1) image registration, (2) lesion dilation, (3) lesion clustering, and (4) linear assignment. In step (1), 3D deformable registration is used to register the scans. In step (2), lesion contours are conformally dilated. In step (3), lesion clustering is evaluated based on local metrics. In step (4), matching is assigned based on non-greedy cost minimization. The algorithm was optimized (e.g. choice of deformable registration algorithm, dilatation size) and validated on 140 scan-pairs of 32 metastatic cancer patients from two independent clinical trials, who received longitudinal PET/CT scans as part of their treatment response assessment. Registration error was evaluated using landmark distance. A sensitivity study was performed to evaluate the optimal lesion dilation magnitude. Lesion matching performance accuracy was evaluated for all patients and for a subset with high disease burden. Two investigated deformable registration approaches (whole body deformable and articulated deformable registrations) led to similar performance with the overall registration accuracy between 2.3 and 2.6 mm. The optimal dilation magnitude of 25 mm yielded almost a perfect matching accuracy of 0.98. No significant matching accuracy decrease was observed in the subset of patients with high lesion disease burden. In summary, lesion matching using our new algorithm was highly accurate and a significant improvement, when compared to previously established methods. The proposed method enables accurate automated metastatic lesion matching in whole-body longitudinal scans.
    MeSH term(s) Algorithms ; Humans ; Image Processing, Computer-Assisted ; Neoplasms ; Positron Emission Tomography Computed Tomography ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-07-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ac1457
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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