Early　detection　and　diagnosis　of　liver　fibrosis　is　of　critical　importance.　Currently　the　gold　standard　for　diagnosing　liver　fibrosis　is　biopsy.　However,　liver　biopsy　is　invasive　and　associated　with　sampling　errors　and　can　lead　to　complications　such　as　bleeding.　Therefore,　developing　noninvasive　imaging　techniques　for　assessing　liver　fibrosis　is　of　clinical　value.　Ultrasound　has　become　the　first-line　tool　for　the　management　of　chronic　liver　diseases.　However,　the　commonly　used　B-mode　ultrasound　is　qualitative　and　can　cause　interobserver　or　intraobserver　difference.　Ultrasound　backscatter　envelope　statistics　parametric　imaging　is　an　important　group　of　quantitative　ultrasound　techniques　that　have　been　applied　to　characterizing　different　kinds　of　tissue.　However,　a　state-of-the-art　review　of　ultrasound　backscatter　envelope　statistics　parametric　imaging　for　liver　fibrosis　characterization　has　not　been　conducted.　In　this　paper,　we　focused　on　the　development　of　ultrasound　backscatter　envelope　statistics　parametric　imaging　techniques　for　assessing　liver　fibrosis　from　1998　to　September　2019.　We　classified　these　techniques　into　six　categories:　constant　false　alarm　rate,　fiber　structure　extraction　technique,　acoustic　structure　quantification,　quantile-quantile　probability　plot,　the　multi-Rayleigh　model,　and　the　Nakagami　model.　We　presented　the　theoretical　background　and　algorithms　for　liver　fibrosis　assessment　by　ultrasound　backscatter　envelope　statistics　parametric　imaging.　Then,　the　specific　applications　of　ultrasound　backscatter　envelope　statistics　parametric　imaging　techniques　to　liver　fibrosis　evaluation　were　reviewed　and　analyzed.　Finally,　the　pros　and　cons　of　each　technique　were　discussed,　and　the　future　development　was　suggested.